Why are there no ++ and --​ operators in Python? - python

Why are there no ++ and -- operators in Python?

It's not because it doesn't make sense; it makes perfect sense to define "x++" as "x += 1, evaluating to the previous binding of x".
If you want to know the original reason, you'll have to either wade through old Python mailing lists or ask somebody who was there (eg. Guido), but it's easy enough to justify after the fact:
Simple increment and decrement aren't needed as much as in other languages. You don't write things like for(int i = 0; i < 10; ++i) in Python very often; instead you do things like for i in range(0, 10).
Since it's not needed nearly as often, there's much less reason to give it its own special syntax; when you do need to increment, += is usually just fine.
It's not a decision of whether it makes sense, or whether it can be done--it does, and it can. It's a question of whether the benefit is worth adding to the core syntax of the language. Remember, this is four operators--postinc, postdec, preinc, predec, and each of these would need to have its own class overloads; they all need to be specified, and tested; it would add opcodes to the language (implying a larger, and therefore slower, VM engine); every class that supports a logical increment would need to implement them (on top of += and -=).
This is all redundant with += and -=, so it would become a net loss.

This original answer I wrote is a myth from the folklore of computing: debunked by Dennis Ritchie as "historically impossible" as noted in the letters to the editors of Communications of the ACM July 2012 doi:10.1145/2209249.2209251
The C increment/decrement operators were invented at a time when the C compiler wasn't very smart and the authors wanted to be able to specify the direct intent that a machine language operator should be used which saved a handful of cycles for a compiler which might do a
load memory
load 1
add
store memory
instead of
inc memory
and the PDP-11 even supported "autoincrement" and "autoincrement deferred" instructions corresponding to *++p and *p++, respectively. See section 5.3 of the manual if horribly curious.
As compilers are smart enough to handle the high-level optimization tricks built into the syntax of C, they are just a syntactic convenience now.
Python doesn't have tricks to convey intentions to the assembler because it doesn't use one.

I always assumed it had to do with this line of the zen of python:
There should be one — and preferably only one — obvious way to do it.
x++ and x+=1 do the exact same thing, so there is no reason to have both.

Of course, we could say "Guido just decided that way", but I think the question is really about the reasons for that decision. I think there are several reasons:
It mixes together statements and expressions, which is not good practice. See http://norvig.com/python-iaq.html
It generally encourages people to write less readable code
Extra complexity in the language implementation, which is unnecessary in Python, as already mentioned

Because, in Python, integers are immutable (int's += actually returns a different object).
Also, with ++/-- you need to worry about pre- versus post- increment/decrement, and it takes only one more keystroke to write x+=1. In other words, it avoids potential confusion at the expense of very little gain.

Clarity!
Python is a lot about clarity and no programmer is likely to correctly guess the meaning of --a unless s/he's learned a language having that construct.
Python is also a lot about avoiding constructs that invite mistakes and the ++ operators are known to be rich sources of defects.
These two reasons are enough not to have those operators in Python.
The decision that Python uses indentation to mark blocks rather
than syntactical means such as some form of begin/end bracketing
or mandatory end marking is based largely on the same considerations.
For illustration, have a look at the discussion around introducing a conditional operator (in C: cond ? resultif : resultelse) into Python in 2005.
Read at least the first message and the decision message of that discussion (which had several precursors on the same topic previously).
Trivia:
The PEP frequently mentioned therein is the "Python Enhancement Proposal" PEP 308. LC means list comprehension, GE means generator expression (and don't worry if those confuse you, they are none of the few complicated spots of Python).

My understanding of why python does not have ++ operator is following: When you write this in python a=b=c=1 you will get three variables (labels) pointing at same object (which value is 1). You can verify this by using id function which will return an object memory address:
In [19]: id(a)
Out[19]: 34019256
In [20]: id(b)
Out[20]: 34019256
In [21]: id(c)
Out[21]: 34019256
All three variables (labels) point to the same object. Now increment one of variable and see how it affects memory addresses:
In [22] a = a + 1
In [23]: id(a)
Out[23]: 34019232
In [24]: id(b)
Out[24]: 34019256
In [25]: id(c)
Out[25]: 34019256
You can see that variable a now points to another object as variables b and c. Because you've used a = a + 1 it is explicitly clear. In other words you assign completely another object to label a. Imagine that you can write a++ it would suggest that you did not assign to variable a new object but ratter increment the old one. All this stuff is IMHO for minimization of confusion. For better understanding see how python variables works:
In Python, why can a function modify some arguments as perceived by the caller, but not others?
Is Python call-by-value or call-by-reference? Neither.
Does Python pass by value, or by reference?
Is Python pass-by-reference or pass-by-value?
Python: How do I pass a variable by reference?
Understanding Python variables and Memory Management
Emulating pass-by-value behaviour in python
Python functions call by reference
Code Like a Pythonista: Idiomatic Python

It was just designed that way. Increment and decrement operators are just shortcuts for x = x + 1. Python has typically adopted a design strategy which reduces the number of alternative means of performing an operation. Augmented assignment is the closest thing to increment/decrement operators in Python, and they weren't even added until Python 2.0.

I'm very new to python but I suspect the reason is because of the emphasis between mutable and immutable objects within the language. Now, I know that x++ can easily be interpreted as x = x + 1, but it LOOKS like you're incrementing in-place an object which could be immutable.
Just my guess/feeling/hunch.

To complete already good answers on that page:
Let's suppose we decide to do this, prefix (++i) that would break the unary + and - operators.
Today, prefixing by ++ or -- does nothing, because it enables unary plus operator twice (does nothing) or unary minus twice (twice: cancels itself)
>>> i=12
>>> ++i
12
>>> --i
12
So that would potentially break that logic.
now if one needs it for list comprehensions or lambdas, from python 3.8 it's possible with the new := assignment operator (PEP572)
pre-incrementing a and assign it to b:
>>> a = 1
>>> b = (a:=a+1)
>>> b
2
>>> a
2
post-incrementing just needs to make up the premature add by subtracting 1:
>>> a = 1
>>> b = (a:=a+1)-1
>>> b
1
>>> a
2

I believe it stems from the Python creed that "explicit is better than implicit".

First, Python is only indirectly influenced by C; it is heavily influenced by ABC, which apparently does not have these operators, so it should not be any great surprise not to find them in Python either.
Secondly, as others have said, increment and decrement are supported by += and -= already.
Third, full support for a ++ and -- operator set usually includes supporting both the prefix and postfix versions of them. In C and C++, this can lead to all kinds of "lovely" constructs that seem (to me) to be against the spirit of simplicity and straight-forwardness that Python embraces.
For example, while the C statement while(*t++ = *s++); may seem simple and elegant to an experienced programmer, to someone learning it, it is anything but simple. Throw in a mixture of prefix and postfix increments and decrements, and even many pros will have to stop and think a bit.

The ++ class of operators are expressions with side effects. This is something generally not found in Python.
For the same reason an assignment is not an expression in Python, thus preventing the common if (a = f(...)) { /* using a here */ } idiom.
Lastly I suspect that there operator are not very consistent with Pythons reference semantics. Remember, Python does not have variables (or pointers) with the semantics known from C/C++.

as i understood it so you won't think the value in memory is changed.
in c when you do x++ the value of x in memory changes.
but in python all numbers are immutable hence the address that x pointed as still has x not x+1. when you write x++ you would think that x change what really happens is that x refrence is changed to a location in memory where x+1 is stored or recreate this location if doe's not exists.

Other answers have described why it's not needed for iterators, but sometimes it is useful when assigning to increase a variable in-line, you can achieve the same effect using tuples and multiple assignment:
b = ++a becomes:
a,b = (a+1,)*2
and b = a++ becomes:
a,b = a+1, a
Python 3.8 introduces the assignment := operator, allowing us to achievefoo(++a) with
foo(a:=a+1)
foo(a++) is still elusive though.

Maybe a better question would be to ask why do these operators exist in C. K&R calls increment and decrement operators 'unusual' (Section 2.8page 46). The Introduction calls them 'more concise and often more efficient'. I suspect that the fact that these operations always come up in pointer manipulation also has played a part in their introduction.
In Python it has been probably decided that it made no sense to try to optimise increments (in fact I just did a test in C, and it seems that the gcc-generated assembly uses addl instead of incl in both cases) and there is no pointer arithmetic; so it would have been just One More Way to Do It and we know Python loathes that.

This may be because #GlennMaynard is looking at the matter as in comparison with other languages, but in Python, you do things the python way. It's not a 'why' question. It's there and you can do things to the same effect with x+=. In The Zen of Python, it is given: "there should only be one way to solve a problem." Multiple choices are great in art (freedom of expression) but lousy in engineering.

I think this relates to the concepts of mutability and immutability of objects. 2,3,4,5 are immutable in python. Refer to the image below. 2 has fixed id until this python process.
x++ would essentially mean an in-place increment like C. In C, x++ performs in-place increments. So, x=3, and x++ would increment 3 in the memory to 4, unlike python where 3 would still exist in memory.
Thus in python, you don't need to recreate a value in memory. This may lead to performance optimizations.
This is a hunch based answer.

I know this is an old thread, but the most common use case for ++i is not covered, that being manually indexing sets when there are no provided indices. This situation is why python provides enumerate()
Example : In any given language, when you use a construct like foreach to iterate over a set - for the sake of the example we'll even say it's an unordered set and you need a unique index for everything to tell them apart, say
i = 0
stuff = {'a': 'b', 'c': 'd', 'e': 'f'}
uniquestuff = {}
for key, val in stuff.items() :
uniquestuff[key] = '{0}{1}'.format(val, i)
i += 1
In cases like this, python provides an enumerate method, e.g.
for i, (key, val) in enumerate(stuff.items()) :

In addition to the other excellent answers here, ++ and -- are also notorious for undefined behavior. For example, what happens in this code?
foo[bar] = bar++;
It's so innocent-looking, but it's wrong C (and C++), because you don't know whether the first bar will have been incremented or not. One compiler might do it one way, another might do it another way, and a third might make demons fly out of your nose. All would be perfectly conformant with the C and C++ standards.
(EDIT: C++17 has changed the behavior of the given code so that it is defined; it will be equivalent to foo[bar+1] = bar; ++bar; — which nonetheless might not be what the programmer is expecting.)
Undefined behavior is seen as a necessary evil in C and C++, but in Python, it's just evil, and avoided as much as possible.

Related

what does it mean by 'passed by assignment'?

As follow is my understanding of types & parameters passing in java and python:
In java, there are primitive types and non-primitive types. Former are not object, latter are objects.
In python, they are all objects.
In java, arguments are passed by value because:
primitive types are copied and then passed, so they are passed by value for sure. non-primitive types are passed by reference but reference(pointer) is also value, so they are also passed by value.
In python, the only difference is that 'primitive types'(for example, numbers) are not copied, but simply taken as objects.
Based on official doc, arguments are passed by assignment. What does it mean by 'passed by assignment'? Is objects in java work the same way as python? What result in the difference (passed by value in java and passed by argument in python)?
And is there any wrong understanding above?
tl;dr: You're right that Python's semantics are essentially Java's semantics, without any primitive types.
"Passed by assignment" is actually making a different distinction than the one you're asking about.1 The idea is that argument passing to functions (and other callables) works exactly the same way assignment works.
Consider:
def f(x):
pass
a = 3
b = a
f(a)
b = a means that the target b, in this case a name in the global namespace, becomes a reference to whatever value a references.
f(a) means that the target x, in this case a name in the local namespace of the frame built to execute f, becomes a reference to whatever value a references.
The semantics are identical. Whenever a value gets assigned to a target (which isn't always a simple name—e.g., think lst[0] = a or spam.eggs = a), it follows the same set of assignment rules—whether it's an assignment statement, a function call, an as clause, or a loop iteration variable, there's just one set of rules.
But overall, your intuitive idea that Python is like Java but with only reference types is accurate: You always "pass a reference by value".
Arguing over whether that counts as "pass by reference" or "pass by value" is pointless. Trying to come up with a new unambiguous name for it that nobody will argue about is even more pointless. Liskov invented the term "call by object" three decades ago, and if that never caught on, anything someone comes up with today isn't likely to do any better.
You understand the actual semantics, and that's what matters.
And yes, this means there is no copying. In Java, only primitive values are copied, and Python doesn't have primitive values, so nothing is copied.
the only difference is that 'primitive types'(for example, numbers) are not copied, but simply taken as objects
It's much better to see this as "the only difference is that there are no 'primitive types' (not even simple numbers)", just as you said at the start.
It's also worth asking why Python has no primitive types—or why Java does.2
Making everything "boxed" can be very slow. Adding 2 + 3 in Python means dereferencing the 2 and 3 objects, getting the native values out of them, adding them together, and wrapping the result up in a new 5 object (or looking it up in a table because you already have an existing 5 object). That's a lot more work than just adding two ints.3
While a good JIT like Hotspot—or like PyPy for Python—can often automatically do those optimizations, sometimes "often" isn't good enough. That's why Java has native types: to let you manually optimize things in those cases.
Python, instead, relies on third-party libraries like Numpy, which let you pay the boxing costs just once for a whole array, instead of once per element. Which keeps the language simpler, but at the cost of needing Numpy.4
1. As far as I know, "passed by assignment" appears a couple times in the FAQs, but is not actually used in the reference docs or glossary. The reference docs already lean toward intuitive over rigorous, but the FAQ, like the tutorial, goes much further in that direction. So, asking what a term in the FAQ means, beyond the intuitive idea it's trying to get across, may not be a meaningful question in the first place.
2. I'm going to ignore the issue of Java's lack of operator overloading here. There's no reason they couldn't include special language rules for a handful of core classes, even if they didn't let you do the same thing with your own classes—e.g., Go does exactly that for things like range, and people rarely complain.
3. … or even than looping over two arrays of 30-bit digits, which is what Python actually does. The cost of working on unlimited-size "bigints" is tiny compared to the cost of boxing, so Python just always pays that extra, barely-noticeable cost. Python 2 did, like Java, have separate fixed and bigint types, but a couple decades of experience showed that it wasn't getting any performance benefits out of the extra complexity.
4. The implementation of Numpy is of course far from simple. But using it is pretty simple, and a lot more people need to use Numpy than need to write Numpy, so that turns out to be a pretty decent tradeoff.
Similar to passing reference types by value in C#.
Docs: https://learn.microsoft.com/en-us/dotnet/csharp/programming-guide/classes-and-structs/passing-reference-type-parameters#passing-reference-types-by-value
Code demo:
# mutable object
l = [9, 8, 7]
def createNewList(l1: list):
# l1+[0] will create a new list object, the reference address of the local variable l1 is changed without affecting the variable l
l1 = l1+[0]
def changeList(l1: list):
# Add an element to the end of the list, because l1 and l refer to the same object, so l will also change
l1.append(0)
print(l)
createNewList(l)
print(l)
changeList(l)
print(l)
# immutable object
num = 9
def changeValue(val: int):
# int is an immutable type, and changing the val makes the val point to the new object 8,
# it's not change the num value
value = 8
print(num)
changeValue(num)
print(num)

Functional python programming and conditionals

I'm trying to write a python function in a functional way. The problem is I don't know, how to transform an if conditional into a functional style. I have two variables: A and C, which I want to check for the following conditions:
def function():
if(A==0): return 0
elif(C!=0): return 0
elif(A > 4): return 0
else: someOtherFunction()
I looked at the lambda shortcircuiting, but I couldn't get it to work.
I thank you in advance for your help!
From the link you posted:
FP either discourages or outright disallows statements,
and instead works with the evaluation of expressions
So instead of if-statements, you could use a conditional expression:
def function():
return (0 if ((A == 0) or (C != 0) or (A > 4)) else
someOtherFunction())
or, (especially useful if there were many different values):
def function():
return (0 if A == 0 else
0 if C != 0 else
0 if A > 4 else
someOtherFunction())
By the way, the linked article proposes
(<cond1> and func1()) or (<cond2> and func2()) or (func3())
as a short-curcuiting equivalent to
if <cond1>: func1()
elif <cond2>: func2()
else: func3()
The problem is they are not equivalent! The boolean expression fails to return the right value when <cond1> is Truish but func1() is Falsish (e.g. False or 0 or None). (Or similarly when <cond2> is Truish but func2 is Falsish.)
(<cond1> and func1())
is written with the intention of evaluating to func1() when <cond1> is Truish, but when func1() is Falsish, (<cond1> and func1()) evaluates to False, so the entire expression is passed over and Python goes on to evaluate (<cond2> and func2()) instead of short-circuiting.
So here is a bit of interesting history. In 2005,
Raymond Hettinger found a similar hard-to-find bug in type(z)==types.ComplexType and z.real or z when z = (0+4j) because z.real is Falsish. Motivated by a desire to save us from similar bugs, the idea of using a less error-prone syntax (conditional expressions) was born.
There's nothing non-"functional style" in your current code! who said conditionals are not functional anyway? Practically all functional languages have a conditional operator of some sort, for instance the cond special form in Lisp.
I'd take issue with the code if it were using the assignment operator, or mutating state in some way (say, appending to a list) but as it is, the function in the question is already in a "functional style" - there are no state changes.
Perhaps you meant something like this?
return A != 0 and C == 0 and A <= 4 and someOtherFunction()
The above will return False if either A == 0 or C != 0 or A > 4, in all other cases it will return the value of calling someOtherFunction(). And by the way, False can be assumed to evaluate to 0 (for example, 42 + False == 42), so the semantics in the code in the question will be preserved from the caller's point of view.
Notice that you're taking the information in the link out of context. There's absolutely no need to use a lambda for this, the article is only explaining how to get around an inherent limitation of lambdas in Python, which is that you can't return statements inside (like if-elif-else) - only expressions are allowed, but you can fake them with boolean operators. In the context of a normal function by all means, use conditionals.
Although Peter Norvig is a really great guy, his website is pretty hard to search.
I remember reading about Can I do the equivalent of (test ? result : alternative) in Python? on his site a while back during some research before a functional Python talk.
I'm not going to sway you one way or the other in light of my findings, but you should still go and read the section about ternary conditional operators in a functional style.
def if_(test, result, alternative=None):
"If test is true, 'do' result, else alternative. 'Do' means call if callable."
if test:
if callable(result): result = result()
return result
else:
if callable(alternative): alternative = alternative()
return alternative
Just use it as you have it.
Python does not have the syntax and library built-ins to make it easy to program all functions to directly return a single expression. That's not the most important part of functional style anyway, the most important part is making sure that your functions maintain referential integrity. Basically this means that whenever you supply them with the same input values they return the same output.
So when trying to program functionally in Python, I do not refrain from using statements entirely. I use a block of local variable assignments as an equivalent of let ... in ... from Haskell. I use an if/elif/else chain as an equivalent of a case expression from Haskell. And often there are built-in types which do not provide an adequate interface to create new "modified" versions of them rather than updating them in-place, so you instead have to implement such operations with an explicit copy operation and then using mutations on the new copy.
Python allows you to implement functional-style designs directly. You can easily structure your program as a whole bunch of functions which explicitly pass state around and don't have side effects, so you can design your high level algorithms in a very similar way that you would in a functional programming language. Nearly every programming language supports functional programming in this sense, if you're prepared to stomach the boilerplate necessary to fake first class functions. Since Python has first class functions, you don't even have to put up with boilerplate.
But that's as far as Python goes in supporting functional programming. It does't really support implementing functions as single referentially-transparent expressions. But that doesn't really matter. In a language that doesn't enforce or track purity, you get pretty much all the benefits of functional programming that you can by simply designing your program as a bunch of referentially transparent functions, and then how you implement those functions doesn't actually matter as long as the interface is kept referentially transparent.

Learning Python from Ruby; Differences and Similarities

I know Ruby very well. I believe that I may need to learn Python presently. For those who know both, what concepts are similar between the two, and what are different?
I'm looking for a list similar to a primer I wrote for Learning Lua for JavaScripters: simple things like whitespace significance and looping constructs; the name of nil in Python, and what values are considered "truthy"; is it idiomatic to use the equivalent of map and each, or are mumble somethingaboutlistcomprehensions mumble the norm?
If I get a good variety of answers I'm happy to aggregate them into a community wiki. Or else you all can fight and crib from each other to try to create the one true comprehensive list.
Edit: To be clear, my goal is "proper" and idiomatic Python. If there is a Python equivalent of inject, but nobody uses it because there is a better/different way to achieve the common functionality of iterating a list and accumulating a result along the way, I want to know how you do things. Perhaps I'll update this question with a list of common goals, how you achieve them in Ruby, and ask what the equivalent is in Python.
Here are some key differences to me:
Ruby has blocks; Python does not.
Python has functions; Ruby does not. In Python, you can take any function or method and pass it to another function. In Ruby, everything is a method, and methods can't be directly passed. Instead, you have to wrap them in Proc's to pass them.
Ruby and Python both support closures, but in different ways. In Python, you can define a function inside another function. The inner function has read access to variables from the outer function, but not write access. In Ruby, you define closures using blocks. The closures have full read and write access to variables from the outer scope.
Python has list comprehensions, which are pretty expressive. For example, if you have a list of numbers, you can write
[x*x for x in values if x > 15]
to get a new list of the squares of all values greater than 15. In Ruby, you'd have to write the following:
values.select {|v| v > 15}.map {|v| v * v}
The Ruby code doesn't feel as compact. It's also not as efficient since it first converts the values array into a shorter intermediate array containing the values greater than 15. Then, it takes the intermediate array and generates a final array containing the squares of the intermediates. The intermediate array is then thrown out. So, Ruby ends up with 3 arrays in memory during the computation; Python only needs the input list and the resulting list.
Python also supplies similar map comprehensions.
Python supports tuples; Ruby doesn't. In Ruby, you have to use arrays to simulate tuples.
Ruby supports switch/case statements; Python does not.
Ruby supports the standard expr ? val1 : val2 ternary operator; Python does not.
Ruby supports only single inheritance. If you need to mimic multiple inheritance, you can define modules and use mix-ins to pull the module methods into classes. Python supports multiple inheritance rather than module mix-ins.
Python supports only single-line lambda functions. Ruby blocks, which are kind of/sort of lambda functions, can be arbitrarily big. Because of this, Ruby code is typically written in a more functional style than Python code. For example, to loop over a list in Ruby, you typically do
collection.each do |value|
...
end
The block works very much like a function being passed to collection.each. If you were to do the same thing in Python, you'd have to define a named inner function and then pass that to the collection each method (if list supported this method):
def some_operation(value):
...
collection.each(some_operation)
That doesn't flow very nicely. So, typically the following non-functional approach would be used in Python:
for value in collection:
...
Using resources in a safe way is quite different between the two languages. Here, the problem is that you want to allocate some resource (open a file, obtain a database cursor, etc), perform some arbitrary operation on it, and then close it in a safe manner even if an exception occurs.
In Ruby, because blocks are so easy to use (see #9), you would typically code this pattern as a method that takes a block for the arbitrary operation to perform on the resource.
In Python, passing in a function for the arbitrary action is a little clunkier since you have to write a named, inner function (see #9). Instead, Python uses a with statement for safe resource handling. See How do I correctly clean up a Python object? for more details.
I, like you, looked for inject and other functional methods when learning Python. I was disappointed to find that they weren't all there, or that Python favored an imperative approach. That said, most of the constructs are there if you look. In some cases, a library will make things nicer.
A couple of highlights for me:
The functional programming patterns you know from Ruby are available in Python. They just look a little different. For example, there's a map function:
def f(x):
return x + 1
map(f, [1, 2, 3]) # => [2, 3, 4]
Similarly, there is a reduce function to fold over lists, etc.
That said, Python lacks blocks and doesn't have a streamlined syntax for chaining or composing functions. (For a nice way of doing this without blocks, check out Haskell's rich syntax.)
For one reason or another, the Python community seems to prefer imperative iteration for things that would, in Ruby, be done without mutation. For example, folds (i.e., inject), are often done with an imperative for loop instead of reduce:
running_total = 0
for n in [1, 2, 3]:
running_total = running_total + n
This isn't just a convention, it's also reinforced by the Python maintainers. For example, the Python 3 release notes explicitly favor for loops over reduce:
Use functools.reduce() if you really need it; however, 99 percent of the time an explicit for loop is more readable.
List comprehensions are a terse way to express complex functional operations (similar to Haskell's list monad). These aren't available in Ruby and may help in some scenarios. For example, a brute-force one-liner to find all the palindromes in a string (assuming you have a function p() that returns true for palindromes) looks like this:
s = 'string-with-palindromes-like-abbalabba'
l = len(s)
[s[x:y] for x in range(l) for y in range(x,l+1) if p(s[x:y])]
Methods in Python can be treated as context-free functions in many cases, which is something you'll have to get used to from Ruby but can be quite powerful.
In case this helps, I wrote up more thoughts here in 2011: The 'ugliness' of Python. They may need updating in light of today's focus on ML.
My suggestion: Don't try to learn the differences. Learn how to approach the problem in Python. Just like there's a Ruby approach to each problem (that works very well givin the limitations and strengths of the language), there's a Python approach to the problem. they are both different. To get the best out of each language, you really should learn the language itself, and not just the "translation" from one to the other.
Now, with that said, the difference will help you adapt faster and make 1 off modifications to a Python program. And that's fine for a start to get writing. But try to learn from other projects the why behind the architecture and design decisions rather than the how behind the semantics of the language...
I know little Ruby, but here are a few bullet points about the things you mentioned:
nil, the value indicating lack of a value, would be None (note that you check for it like x is None or x is not None, not with == - or by coercion to boolean, see next point).
None, zero-esque numbers (0, 0.0, 0j (complex number)) and empty collections ([], {}, set(), the empty string "", etc.) are considered falsy, everything else is considered truthy.
For side effects, (for-)loop explicitly. For generating a new bunch of stuff without side-effects, use list comprehensions (or their relatives - generator expressions for lazy one-time iterators, dict/set comprehensions for the said collections).
Concerning looping: You have for, which operates on an iterable(! no counting), and while, which does what you would expect. The fromer is far more powerful, thanks to the extensive support for iterators. Not only nearly everything that can be an iterator instead of a list is an iterator (at least in Python 3 - in Python 2, you have both and the default is a list, sadly). The are numerous tools for working with iterators - zip iterates any number of iterables in parallel, enumerate gives you (index, item) (on any iterable, not just on lists), even slicing abritary (possibly large or infinite) iterables! I found that these make many many looping tasks much simpler. Needless to say, they integrate just fine with list comprehensions, generator expressions, etc.
In Ruby, instance variables and methods are completely unrelated, except when you explicitly relate them with attr_accessor or something like that.
In Python, methods are just a special class of attribute: one that is executable.
So for example:
>>> class foo:
... x = 5
... def y(): pass
...
>>> f = foo()
>>> type(f.x)
<type 'int'>
>>> type(f.y)
<type 'instancemethod'>
That difference has a lot of implications, like for example that referring to f.x refers to the method object, rather than calling it. Also, as you can see, f.x is public by default, whereas in Ruby, instance variables are private by default.

Ruby vs Python (the differences between them) [duplicate]

Locked. This question and its answers are locked because the question is off-topic but has historical significance. It is not currently accepting new answers or interactions.
There is a lot of discussions of Python vs Ruby, and I all find them completely unhelpful, because they all turn around why feature X sucks in language Y, or that claim language Y doesn't have X, although in fact it does. I also know exactly why I prefer Python, but that's also subjective, and wouldn't help anybody choosing, as they might not have the same tastes in development as I do.
It would therefore be interesting to list the differences, objectively. So no "Python's lambdas sucks". Instead explain what Ruby's lambdas can do that Python's can't. No subjectivity. Example code is good!
Don't have several differences in one answer, please. And vote up the ones you know are correct, and down those you know are incorrect (or are subjective). Also, differences in syntax is not interesting. We know Python does with indentation what Ruby does with brackets and ends, and that # is called self in Python.
UPDATE: This is now a community wiki, so we can add the big differences here.
Ruby has a class reference in the class body
In Ruby you have a reference to the class (self) already in the class body. In Python you don't have a reference to the class until after the class construction is finished.
An example:
class Kaka
puts self
end
self in this case is the class, and this code would print out "Kaka". There is no way to print out the class name or in other ways access the class from the class definition body in Python (outside method definitions).
All classes are mutable in Ruby
This lets you develop extensions to core classes. Here's an example of a rails extension:
class String
def starts_with?(other)
head = self[0, other.length]
head == other
end
end
Python (imagine there were no ''.startswith method):
def starts_with(s, prefix):
return s[:len(prefix)] == prefix
You could use it on any sequence (not just strings). In order to use it you should import it explicitly e.g., from some_module import starts_with.
Ruby has Perl-like scripting features
Ruby has first class regexps, $-variables, the awk/perl line by line input loop and other features that make it more suited to writing small shell scripts that munge text files or act as glue code for other programs.
Ruby has first class continuations
Thanks to the callcc statement. In Python you can create continuations by various techniques, but there is no support built in to the language.
Ruby has blocks
With the "do" statement you can create a multi-line anonymous function in Ruby, which will be passed in as an argument into the method in front of do, and called from there. In Python you would instead do this either by passing a method or with generators.
Ruby:
amethod { |here|
many=lines+of+code
goes(here)
}
Python (Ruby blocks correspond to different constructs in Python):
with amethod() as here: # `amethod() is a context manager
many=lines+of+code
goes(here)
Or
for here in amethod(): # `amethod()` is an iterable
many=lines+of+code
goes(here)
Or
def function(here):
many=lines+of+code
goes(here)
amethod(function) # `function` is a callback
Interestingly, the convenience statement in Ruby for calling a block is called "yield", which in Python will create a generator.
Ruby:
def themethod
yield 5
end
themethod do |foo|
puts foo
end
Python:
def themethod():
yield 5
for foo in themethod():
print foo
Although the principles are different, the result is strikingly similar.
Ruby supports functional style (pipe-like) programming more easily
myList.map(&:description).reject(&:empty?).join("\n")
Python:
descriptions = (f.description() for f in mylist)
"\n".join(filter(len, descriptions))
Python has built-in generators (which are used like Ruby blocks, as noted above)
Python has support for generators in the language. In Ruby 1.8 you can use the generator module which uses continuations to create a generator from a block. Or, you could just use a block/proc/lambda! Moreover, in Ruby 1.9 Fibers are, and can be used as, generators, and the Enumerator class is a built-in generator 4
docs.python.org has this generator example:
def reverse(data):
for index in range(len(data)-1, -1, -1):
yield data[index]
Contrast this with the above block examples.
Python has flexible name space handling
In Ruby, when you import a file with require, all the things defined in that file will end up in your global namespace. This causes namespace pollution. The solution to that is Rubys modules. But if you create a namespace with a module, then you have to use that namespace to access the contained classes.
In Python, the file is a module, and you can import its contained names with from themodule import *, thereby polluting the namespace if you want. But you can also import just selected names with from themodule import aname, another or you can simply import themodule and then access the names with themodule.aname. If you want more levels in your namespace you can have packages, which are directories with modules and an __init__.py file.
Python has docstrings
Docstrings are strings that are attached to modules, functions and methods and can be
introspected at runtime. This helps for creating such things as the help command and
automatic documentation.
def frobnicate(bar):
"""frobnicate takes a bar and frobnicates it
>>> bar = Bar()
>>> bar.is_frobnicated()
False
>>> frobnicate(bar)
>>> bar.is_frobnicated()
True
"""
Ruby's equivalent are similar to javadocs, and located above the method instead of within it. They can be retrieved at runtime from the files by using 1.9's Method#source_location example use
Python has multiple inheritance
Ruby does not ("on purpose" -- see Ruby's website, see here how it's done in Ruby). It does reuse the module concept as a type of abstract classes.
Python has list/dict comprehensions
Python:
res = [x*x for x in range(1, 10)]
Ruby:
res = (0..9).map { |x| x * x }
Python:
>>> (x*x for x in range(10))
<generator object <genexpr> at 0xb7c1ccd4>
>>> list(_)
[0, 1, 4, 9, 16, 25, 36, 49, 64, 81]
Ruby:
p = proc { |x| x * x }
(0..9).map(&p)
Python 2.7+:
>>> {x:str(y*y) for x,y in {1:2, 3:4}.items()}
{1: '4', 3: '16'}
Ruby:
>> Hash[{1=>2, 3=>4}.map{|x,y| [x,(y*y).to_s]}]
=> {1=>"4", 3=>"16"}
Python has decorators
Things similar to decorators can also be created in Ruby, and it can also be argued that they aren't as necessary as in Python.
Syntax differences
Ruby requires "end" or "}" to close all of its scopes, while Python uses white-space only. There have been recent attempts in Ruby to allow for whitespace only indentation http://github.com/michaeledgar/seamless
Ruby has the concepts of blocks, which are essentially syntactic sugar around a section of code; they are a way to create closures and pass them to another method which may or may not use the block. A block can be invoked later on through a yield statement.
For example, a simple definition of an each method on Array might be something like:
class Array
def each
for i in self
yield(i) # If a block has been passed, control will be passed here.
end
end
end
Then you can invoke this like so:
# Add five to each element.
[1, 2, 3, 4].each{ |e| puts e + 5 }
> [6, 7, 8, 9]
Python has anonymous functions/closures/lambdas, but it doesn't quite have blocks since it's missing some of the useful syntactic sugar. However, there's at least one way to get it in an ad-hoc fashion. See, for example, here.
Python Example
Functions are first-class variables in Python. You can declare a function, pass it around as an object, and overwrite it:
def func(): print "hello"
def another_func(f): f()
another_func(func)
def func2(): print "goodbye"
func = func2
This is a fundamental feature of modern scripting languages. JavaScript and Lua do this, too. Ruby doesn't treat functions this way; naming a function calls it.
Of course, there are ways to do these things in Ruby, but they're not first-class operations. For example, you can wrap a function with Proc.new to treat it as a variable--but then it's no longer a function; it's an object with a "call" method.
Ruby's functions aren't first-class objects
Ruby functions aren't first-class objects. Functions must be wrapped in an object to pass them around; the resulting object can't be treated like a function. Functions can't be assigned in a first-class manner; instead, a function in its container object must be called to modify them.
def func; p "Hello" end
def another_func(f); method(f)[] end
another_func(:func) # => "Hello"
def func2; print "Goodbye!"
self.class.send(:define_method, :func, method(:func2))
func # => "Goodbye!"
method(:func).owner # => Object
func # => "Goodbye!"
self.func # => "Goodbye!"
Ultimately all answers are going to be subjective at some level, and the answers posted so far pretty much prove that you can't point to any one feature that isn't doable in the other language in an equally nice (if not similar) way, since both languages are very concise and expressive.
I like Python's syntax. However, you have to dig a bit deeper than syntax to find the true beauty of Ruby. There is zenlike beauty in Ruby's consistency. While no trivial example can possibly explain this completely, I'll try to come up with one here just to explain what I mean.
Reverse the words in this string:
sentence = "backwards is sentence This"
When you think about how you would do it, you'd do the following:
Split the sentence up into words
Reverse the words
Re-join the words back into a string
In Ruby, you'd do this:
sentence.split.reverse.join ' '
Exactly as you think about it, in the same sequence, one method call after another.
In python, it would look more like this:
" ".join(reversed(sentence.split()))
It's not hard to understand, but it doesn't quite have the same flow. The subject (sentence) is buried in the middle. The operations are a mix of functions and object methods. This is a trivial example, but one discovers many different examples when really working with and understanding Ruby, especially on non-trivial tasks.
Python has a "we're all adults here" mentality. Thus, you'll find that Ruby has things like constants while Python doesn't (although Ruby's constants only raise a warning). The Python way of thinking is that if you want to make something constant, you should put the variable names in all caps and not change it.
For example, Ruby:
>> PI = 3.14
=> 3.14
>> PI += 1
(irb):2: warning: already initialized constant PI
=> 4.14
Python:
>>> PI = 3.14
>>> PI += 1
>>> PI
4.1400000000000006
You can import only specific functions from a module in Python. In Ruby, you import the whole list of methods. You could "unimport" them in Ruby, but it's not what it's all about.
EDIT:
let's take this Ruby module :
module Whatever
def method1
end
def method2
end
end
if you include it in your code :
include Whatever
you'll see that both method1 and method2 have been added to your namespace. You can't import only method1. You either import them both or you don't import them at all. In Python you can import only the methods of your choosing. If this would have a name maybe it would be called selective importing?
From Ruby's website:
Similarities
As with Python, in Ruby,...
There’s an interactive prompt (called irb).
You can read docs on the command line (with the ri command instead of pydoc).
There are no special line terminators (except the usual newline).
String literals can span multiple lines like Python’s triple-quoted strings.
Brackets are for lists, and braces are for dicts (which, in Ruby, are called “hashes”).
Arrays work the same (adding them makes one long array, but composing them like this a3 = [ a1, a2 ] gives you an array of arrays).
Objects are strongly and dynamically typed.
Everything is an object, and variables are just references to objects.
Although the keywords are a bit different, exceptions work about the same.
You’ve got embedded doc tools (Ruby’s is called rdoc).
Differences
Unlike Python, in Ruby,...
Strings are mutable.
You can make constants (variables whose value you don’t intend to change).
There are some enforced case-conventions (ex. class names start with a capital letter, variables start with a lowercase letter).
There’s only one kind of list container (an Array), and it’s mutable.
Double-quoted strings allow escape sequences (like \t) and a special “expression substitution” syntax (which allows you to insert the results of Ruby expressions directly into other strings without having to "add " + "strings " + "together"). Single-quoted strings are like Python’s r"raw strings".
There are no “new style” and “old style” classes. Just one kind.
You never directly access attributes. With Ruby, it’s all method calls.
Parentheses for method calls are usually optional.
There’s public, private, and protected to enforce access, instead of Python’s _voluntary_ underscore __convention__.
“mixin’s” are used instead of multiple inheritance.
You can add or modify the methods of built-in classes. Both languages let you open up and modify classes at any point, but Python prevents modification of built-ins — Ruby does not.
You’ve got true and false instead of True and False (and nil instead of None).
When tested for truth, only false and nil evaluate to a false value. Everything else is true (including 0, 0.0, "", and []).
It’s elsif instead of elif.
It’s require instead of import. Otherwise though, usage is the same.
The usual-style comments on the line(s) above things (instead of docstrings below them) are used for generating docs.
There are a number of shortcuts that, although give you more to remember, you quickly learn. They tend to make Ruby fun and very productive.
What Ruby has over Python are its scripting language capabilities. Scripting language in this context meaning to be used for "glue code" in shell scripts and general text manipulation.
These are mostly shared with Perl. First-class built-in regular expressions, $-Variables, useful command line options like Perl (-a, -e) etc.
Together with its terse yet epxressive syntax it is perfect for these kind of tasks.
Python to me is more of a dynamically typed business language that is very easy to learn and has a neat syntax. Not as "cool" as Ruby but neat.
What Python has over Ruby to me is the vast number of bindings for other libs. Bindings to Qt and other GUI libs, many game support libraries and and and. Ruby has much less. While much used bindings e.g. to Databases are of good quality I found niche libs to be better supported in Python even if for the same library there is also a Ruby binding.
So, I'd say both languages have its use and it is the task that defines which one to use. Both are easy enough to learn. I use them side-by-side. Ruby for scripting and Python for stand-alone apps.
I don't think "Ruby has X and Python doesn't, while Python has Y and Ruby doesn't" is the most useful way to look at it. They're quite similar languages, with many shared abilities.
To a large degree, the difference is what the language makes elegant and readable. To use an example you brought up, both do theoretically have lambdas, but Python programmers tend to avoid them, and constructs made using them do not look anywhere near as readable or idiomatic as in Ruby. So in Python, a good programmer will want to take a different route to solving the problem than he would in Ruby, just because it actually is the better way to do it.
I'd like to suggest a variant of the original question, "What does Ruby have that Python doesn't, and vice versa?" which admits the disappointing answer, "Well, what can you do with either Ruby or Python that can't be done in Intercal?" Nothing on that level, because Python and Ruby are both part of the vast royal family sitting on the throne of being Turing approximant.
But what about this:
What can be done gracefully and well in Python that can't be done in Ruby with such beauty and good engineering, or vice versa?
That may be much more interesting than mere feature comparison.
Python has an explicit, builtin syntax for list-comprehenions and generators whereas in Ruby you would use map and code blocks.
Compare
list = [ x*x for x in range(1, 10) ]
to
res = (1..10).map{ |x| x*x }
"Variables that start with a capital letter becomes constants and can't be modified"
Wrong. They can.
You only get a warning if you do.
Somewhat more on the infrastructure side:
Python has much better integration with C++ (via things like Boost.Python, SIP, and Py++) than Ruby, where the options seem to be either write directly against the Ruby interpreter API (which you can do with Python as well, of course, but in both cases doing so is low level, tedious, and error prone) or use SWIG (which, while it works and definitely is great if you want to support many languages, isn't nearly as nice as Boost.Python or SIP if you are specifically looking to bind C++).
Python has a number of web application environments (Django, Pylons/Turbogears, web.py, probably at least half a dozen others), whereas Ruby (effectively) has one: Rails. (Other Ruby web frameworks do exist, but seemingly have a hard time getting much traction against Rails). Is this aspect good or bad? Hard to say, and probably quite subjective; I can easily imagine arguments that the Python situation is better and that the Ruby situation is better.
Culturally, the Python and Ruby communities seem somewhat different, but I can only hint at this as I don't have that much experience interacting with the Ruby community. I'm adding this mostly in the hopes that someone who has a lot of experience with both can amplify (or reject) this statement.
Shamelessly copy/pasted from: Alex Martelli answer on "What's better about Ruby than Python" thread from comp.lang.python mailing list.
Aug 18 2003, 10:50 am Erik Max Francis
wrote:
"Brandon J. Van Every" wrote:
What's better about Ruby than Python? I'm sure there's something.
What is it?
Wouldn't it make much more sense to ask Ruby people this, rather than
Python people?
Might, or might not, depending on
one's purposes -- for example, if
one's purposes include a "sociological
study" of the Python community, then
putting questions to that community is
likely to prove more revealing of
information about it, than putting
them elsewhere:-).
Personally, I gladly took the
opportunity to follow Dave Thomas'
one-day Ruby tutorial at last OSCON.
Below a thin veneer of syntax
differences, I find Ruby and Python
amazingly similar -- if I was
computing the minimum spanning tree
among just about any set of languages,
I'm pretty sure Python and Ruby would
be the first two leaves to coalesce
into an intermediate node:-).
Sure, I do get weary, in Ruby, of
typing the silly "end" at the end of
each block (rather than just
unindenting) -- but then I do get to
avoid typing the equally-silly ':'
which Python requires at the
start of each block, so that's almost a wash:-). Other syntax
differences such as '#foo' versus
'self.foo', or the higher significance
of case in Ruby vs Python, are really
just about as irrelevant to me.
Others no doubt base their choice of
programming languages on just such
issues, and they generate the hottest
debates -- but to me that's just an
example of one of Parkinson's Laws in
action (the amount on debate on an
issue is inversely proportional to the
issue's actual importance).
Edit (by AM 6/19/2010 11:45): this is also known as "painting the
bikeshed" (or, for short,
"bikeshedding") -- the reference is,
again, to Northcote Parkinson, who
gave "debates on what color to paint
the bikeshed" as a typical example of
"hot debates on trivial topics".
(end-of-Edit).
One syntax difference that I do find
important, and in Python's favor --
but other people will no doubt think
just the reverse -- is "how do you
call a function which takes no
parameters". In Python (like in C),
to call a function you always apply
the "call operator" -- trailing
parentheses just after the object
you're calling (inside those trailing
parentheses go the args you're passing
in the call -- if you're passing no
args, then the parentheses are empty).
This leaves the mere mention of
any object, with no operator involved, as meaning just a reference
to the object -- in any context,
without special cases, exceptions,
ad-hoc rules, and the like. In Ruby
(like in Pascal), to call a function
WITH arguments you pass the args
(normally in parentheses, though that
is not invariably the case) -- BUT if
the function takes no args then simply
mentioning the function implicitly
calls it. This may meet the
expectations of many people (at least,
no doubt, those whose only previous
experience of programming was with
Pascal, or other languages with
similar "implicit calling", such as
Visual Basic) -- but to me, it means
the mere mention of an object may
EITHER mean a reference to the object,
OR a call to the object, depending on
the object's type -- and in those
cases where I can't get a reference to
the object by merely mentioning it I
will need to use explicit "give me a
reference to this, DON'T call it!"
operators that aren't needed
otherwise. I feel this impacts the
"first-classness" of functions (or
methods, or other callable objects)
and the possibility of interchanging
objects smoothly. Therefore, to me,
this specific syntax difference is a
serious black mark against Ruby -- but
I do understand why others would thing
otherwise, even though I could hardly
disagree more vehemently with them:-).
Below the syntax, we get into some
important differences in elementary
semantics -- for example, strings in
Ruby are mutable objects (like in
C++), while in Python they are not
mutable (like in Java, or I believe
C#). Again, people who judge
primarily by what they're already
familiar with may think this is a plus
for Ruby (unless they're familiar with
Java or C#, of course:-). Me, I think
immutable strings are an excellent
idea (and I'm not surprised that Java,
independently I think, reinvented that
idea which was already in Python),
though I wouldn't mind having a
"mutable string buffer" type as well
(and ideally one with better
ease-of-use than Java's own "string
buffers"); and I don't give this
judgment because of familiarity --
before studying Java, apart from
functional programming languages where
all data are immutable, all the languages I knew had mutable strings
-- yet when I first saw the immutable-string idea in Java (which I
learned well before I learned Python),
it immediately struck me as excellent,
a very good fit for the
reference-semantics of a higher level
programming language (as opposed to
the value-semantics that fit best with
languages closer to the machine and
farther from applications, such as C)
with strings as a first-class,
built-in (and pretty crucial) data
type.
Ruby does have some advantages in
elementary semantics -- for example,
the removal of Python's "lists vs
tuples" exceedingly subtle
distinction. But mostly the score (as
I keep it, with simplicity a big plus
and subtle, clever distinctions a
notable minus) is against Ruby (e.g.,
having both closed and half-open
intervals, with the notations a..b and
a...b [anybody wants to claim that
it's obvious which is which?-)], is
silly -- IMHO, of course!). Again,
people who consider having a lot of
similar but subtly different things at
the core of a language a PLUS, rather
than a MINUS, will of course count
these "the other way around" from how
I count them:-).
Don't be misled by these comparisons
into thinking the two languages are
very different, mind you. They aren't. But if I'm asked to compare
"capelli d'angelo" to "spaghettini",
after pointing out that these two
kinds of pasta are just about
undistinguishable to anybody and
interchangeable in any dish you might
want to prepare, I would then
inevitably have to move into
microscopic examination of how the
lengths and diameters imperceptibly
differ, how the ends of the strands
are tapered in one case and not in the
other, and so on -- to try and explain
why I, personally, would rather have
capelli d'angelo as the pasta in any
kind of broth, but would prefer
spaghettini as the pastasciutta to go
with suitable sauces for such long
thin pasta forms (olive oil, minced
garlic, minced red peppers, and finely
ground anchovies, for example - but if
you sliced the garlic and peppers
instead of mincing them, then you
should choose the sounder body of
spaghetti rather than the thinner
evanescence of spaghettini, and would
be well advised to forego the achovies
and add instead some fresh spring
basil [or even -- I'm a heretic...! --
light mint...] leaves -- at the very
last moment before serving the dish).
Ooops, sorry, it shows that I'm
traveling abroad and haven't had pasta
for a while, I guess. But the analogy
is still pretty good!-)
So, back to Python and Ruby, we come
to the two biggies (in terms of
language proper -- leaving the
libraries, and other important
ancillaries such as tools and
environments, how to embed/extend each
language, etc, etc, out of it for now
-- they wouldn't apply to all IMPLEMENTATIONS of each language
anyway, e.g., Jython vs Classic Python
being two implementations of the
Python language!):
Ruby's iterators and codeblocks vs Python's iterators and generators;
Ruby's TOTAL, unbridled "dynamicity", including the ability
to "reopen" any existing class,
including all built-in ones, and
change its behavior at run-time -- vs
Python's vast but bounded
dynamicity, which never changes the
behavior of existing built-in
classes and their instances.
Personally, I consider 1 a wash (the
differences are so deep that I could
easily see people hating either
approach and revering the other, but
on MY personal scales the pluses and
minuses just about even up); and 2 a
crucial issue -- one that makes Ruby
much more suitable for "tinkering",
BUT Python equally more suitable for
use in large production applications.
It's funny, in a way, because both
languages are so MUCH more dynamic
than most others, that in the end the
key difference between them from my
POV should hinge on that -- that Ruby
"goes to eleven" in this regard (the
reference here is to "Spinal Tap", of
course). In Ruby, there are no limits
to my creativity -- if I decide that
all string comparisons must become
case-insensitive, I CAN DO THAT!
I.e., I can dynamically alter the
built-in string class so that
a = "Hello World"
b = "hello world"
if a == b
print "equal!\n"
else
print "different!\n"
end WILL print "equal". In python, there is NO way I can do that.
For the purposes of metaprogramming,
implementing experimental frameworks,
and the like, this amazing dynamic
ability of Ruby is extremely
appealing. BUT -- if we're talking
about large applications, developed by
many people and maintained by even
more, including all kinds of libraries
from diverse sources, and needing to
go into production in client sites...
well, I don't WANT a language that is
QUITE so dynamic, thank you very much.
I loathe the very idea of some library
unwittingly breaking other unrelated
ones that rely on those strings being
different -- that's the kind of deep
and deeply hidden "channel", between
pieces of code that LOOK separate and
SHOULD BE separate, that spells
d-e-a-t-h in large-scale programming.
By letting any module affect the
behavior of any other "covertly", the
ability to mutate the semantics of
built-in types is just a BAD idea for
production application programming,
just as it's cool for tinkering.
If I had to use Ruby for such a large
application, I would try to rely on
coding-style restrictions, lots of
tests (to be rerun whenever ANYTHING
changes -- even what should be totally
unrelated...), and the like, to
prohibit use of this language feature.
But NOT having the feature in the
first place is even better, in my
opinion -- just as Python itself would
be an even better language for
application programming if a certain
number of built-ins could be "nailed
down", so I KNEW that, e.g.,
len("ciao") is 4 (rather than having
to worry subliminally about whether
somebody's changed the binding of name
'len' in the builtins module...).
I do hope that eventually Python does
"nail down" its built-ins.
But the problem's minor, since
rebinding built-ins is quite a
deprecated as well as a rare practice
in Python. In Ruby, it strikes me as
major -- just like the too powerful
macro facilities of other languages
(such as, say, Dylan) present similar
risks in my own opinion (I do hope
that Python never gets such a powerful
macro system, no matter the allure of
"letting people define their own
domain-specific little languages
embedded in the language itself" -- it
would, IMHO, impair Python's wonderful
usefulness for application
programming, by presenting an
"attractive nuisance" to the would-be
tinkerer who lurks in every
programmer's heart...).
Alex
Some others from:
http://www.ruby-lang.org/en/documentation/ruby-from-other-languages/to-ruby-from-python/
(If I have misintrepreted anything or any of these have changed on the Ruby side since that page was updated, someone feel free to edit...)
Strings are mutable in Ruby, not in Python (where new strings are created by "changes").
Ruby has some enforced case conventions, Python does not.
Python has both lists and tuples (immutable lists). Ruby has arrays corresponding to Python lists, but no immutable variant of them.
In Python, you can directly access object attributes. In Ruby, it's always via methods.
In Ruby, parentheses for method calls are usually optional, but not in Python.
Ruby has public, private, and protected to enforce access, instead of Python’s convention of using underscores and name mangling.
Python has multiple inheritance. Ruby has "mixins."
And another very relevant link:
http://c2.com/cgi/wiki?PythonVsRuby
Which, in particular, links to another good one by Alex Martelli, who's been also posting a lot of great stuff here on SO:
http://groups.google.com/group/comp.lang.python/msg/028422d707512283
I'm unsure of this, so I add it as an answer first.
Python treats unbound methods as functions
That means you can call a method either like theobject.themethod() or by TheClass.themethod(anobject).
Edit: Although the difference between methods and functions is small in Python, and non-existant in Python 3, it also doesn't exist in Ruby, simply because Ruby doesn't have functions. When you define functions, you are actually defining methods on Object.
But you still can't take the method of one class and call it as a function, you would have to rebind it to the object you want to call on, which is much more obstuse.
I would like to mention Python descriptor API that allows one customize object-to-attribute "communication". It is also noteworthy that, in Python, one is free to implement an alternative protocol via overriding the default given through the default implementation of the __getattribute__ method.
Let me give more details about the aforementioned.
Descriptors are regular classes with __get__, __set__ and/or __delete__ methods.
When interpreter encounters something like anObj.anAttr, the following is performed:
__getattribute__ method of anObj is invoked
__getattribute__ retrieves anAttr object from the class dict
it checks whether abAttr object has __get__, __set__ or __delete__ callable objects
the context (i.e., caller object or class, and value, instead of the latter, if we have setter) is passed to the callable object
the result is returned.
As was mentioned, this is the default behavior. One is free to change the protocol by re-implementing __getattribute__.
This technique is lot more powerful than decorators.
Ruby has builtin continuation support using callcc.
Hence you can implement cool things like the amb-operator
At this stage, Python still has better unicode support
Python has docstrings and ruby doesn't... Or if it doesn't, they are not accessible as easily as in python.
Ps. If im wrong, pretty please, leave an example? I have a workaround that i could monkeypatch into classes quite easily but i'd like to have docstring kinda of a feature in "native way".
Ruby has a line by line loop over input files (the '-n' flag) from the commandline so it can be used like AWK. This Ruby one-liner:
ruby -ne 'END {puts $.}'
will count lines like the AWK one-liner:
awk 'END{print NR}'
Ruby gets feature this through Perl, which took it from AWK as a way of getting sysadmins on board with Perl without having to change the way they do things.
Ruby has sigils and twigils, Python doesn't.
Edit: And one very important thing that I forgot (after all, the previous was just to flame a little bit :-p):
Python has a JIT compiler (Psyco), a sightly lower level language for writing faster code (Pyrex) and the ability to add inline C++ code (Weave).
My python's rusty, so some of these may be in python and i just don't remember/never learned in the first place, but here are the first few that I thought of:
Whitespace
Ruby handles whitespace completely different. For starters, you don't need to indent anything (which means it doesn't matter if you use 4 spaces or 1 tab). It also does smart line continuation, so the following is valid:
def foo(bar,
cow)
Basically, if you end with an operator, it figures out what is going on.
Mixins
Ruby has mixins which can extend instances instead of full classes:
module Humor
def tickle
"hee, hee!"
end
end
a = "Grouchy"
a.extend Humor
a.tickle » "hee, hee!"
Enums
I'm not sure if this is the same as generators, but as of Ruby 1.9 ruby as enums, so
>> enum = (1..4).to_enum
=> #<Enumerator:0x1344a8>
Reference: http://blog.nuclearsquid.com/writings/ruby-1-9-what-s-new-what-s-changed
"Keyword Arguments"
Both of the items listed there are supported in Ruby, although you can't skip default values like that.
You can either go in order
def foo(a, b=2, c=3)
puts "#{a}, #{b}, #{c}"
end
foo(1,3) >> 1, 3, 3
foo(1,c=5) >> 1, 5, 3
c >> 5
Note that c=5 actually assigns the variable c in the calling scope the value 5, and sets the parameter b the value 5.
or you can do it with hashes, which address the second issue
def foo(a, others)
others[:b] = 2 unless others.include?(:b)
others[:c] = 3 unless others.include?(:c)
puts "#{a}, #{others[:b]}, #{others[:c]}"
end
foo(1,:b=>3) >> 1, 3, 3
foo(1,:c=>5) >> 1, 2, 5
Reference: The Pragmatic Progammer's Guide to Ruby
You can have code in the class definition in both Ruby and Python. However, in Ruby you have a reference to the class (self). In Python you don't have a reference to the class, as the class isn't defined yet.
An example:
class Kaka
puts self
end
self in this case is the class, and this code would print out "Kaka". There is no way to print out the class name or in other ways access the class from the class definition body in Python.
Syntax is not a minor thing, it has a direct impact on how we think. It also has a direct effect on the rules we create for the systems we use. As an example we have the order of operations because of the way we write mathematical equations or sentences. The standard notation for mathematics allows people to read it more than one way and arrive at different answers given the same equation. If we had used prefix or postfix notation we would have created rules to distinguish what the numbers to be manipulated were rather than only having rules for the order in which to compute values.
The standard notation makes it plain what numbers we are talking about while making the order in which to compute them ambiguous. Prefix and postfix notation make the order in which to compute plain while making the numbers ambiguous. Python would already have multiline lambdas if it were not for the difficulties caused by the syntactic whitespace. (Proposals do exist for pulling this kind of thing off without necessarily adding explicit block delimiters.)
I find it easier to write conditions where I want something to occur if a condition is false much easier to write with the unless statement in Ruby than the semantically equivalent "if-not" construction in Ruby or other languages for example. If most of the languages that people are using today are equal in power, how can the syntax of each language be considered a trivial thing? After specific features like blocks and inheritance mechanisms etc. syntax is the most important part of a language,hardly a superficial thing.
What is superficial are the aesthetic qualities of beauty that we ascribe to syntax. Aesthetics have nothing to do with how our cognition works, syntax does.
Surprised to see nothing mentioned of ruby's "method missing" mechanism. I'd give examples of the find_by_... methods in Rails, as an example of the power of that language feature. My guess is that something similar could be implemented in Python, but to my knowledge it isn't there natively.
Another difference in lambdas between Python and Ruby is demonstrated by Paul Graham's Accumulator Generator problem. Reprinted here:
Write a function foo that takes a number n and returns a function that takes a number i, and returns n incremented by i.
Note: (a) that's number, not integer, (b) that's incremented by, not plus.
In Ruby, you can do this:
def foo(n)
lambda {|i| n += i }
end
In Python, you'd create an object to hold the state of n:
class foo(object):
def __init__(self, n):
self.n = n
def __call__(self, i):
self.n += i
return self.n
Some folks might prefer the explicit Python approach as being clearer conceptually, even if it's a bit more verbose. You store state like you do for anything else. You just need to wrap your head around the idea of callable objects. But regardless of which approach one prefers aesthetically, it does show one respect in which Ruby lambdas are more powerful constructs than Python's.
python has named optional arguments
def func(a, b=2, c=3):
print a, b, c
>>> func(1)
1 2 3
>>> func(1, c=4)
1 2 4
AFAIK Ruby has only positioned arguments because b=2 in the function declaration is an affectation that always append.
Ruby has embedded documentation:
=begin
You could use rdoc to generate man pages from this documentation
=end
http://c2.com/cgi/wiki?PythonVsRuby
http://c2.com/cgi/wiki?SwitchedFromPythonToRuby
http://c2.com/cgi/wiki?SwitchedFromRubyToPython
http://c2.com/cgi/wiki?UsingPythonDontNeedRuby
http://c2.com/cgi/wiki?UsingRubyDontNeedPython
In Ruby, when you import a file with
require, all the things defined in
that file will end up in your global
namespace.
With Cargo you can "require libraries without cluttering your namespace".
# foo-1.0.0.rb
class Foo
VERSION = "1.0.0"
end
# foo-2.0.0.rb
class Foo
VERSION = "2.0.0"
end
>> Foo1 = import("foo-1.0.0")
>> Foo2 = import("foo-2.0.0")
>> Foo1::VERSION
=> "1.0.0"
>> Foo2::VERSION
=> "2.0.0"

What does Ruby have that Python doesn't, and vice versa?

Locked. This question and its answers are locked because the question is off-topic but has historical significance. It is not currently accepting new answers or interactions.
There is a lot of discussions of Python vs Ruby, and I all find them completely unhelpful, because they all turn around why feature X sucks in language Y, or that claim language Y doesn't have X, although in fact it does. I also know exactly why I prefer Python, but that's also subjective, and wouldn't help anybody choosing, as they might not have the same tastes in development as I do.
It would therefore be interesting to list the differences, objectively. So no "Python's lambdas sucks". Instead explain what Ruby's lambdas can do that Python's can't. No subjectivity. Example code is good!
Don't have several differences in one answer, please. And vote up the ones you know are correct, and down those you know are incorrect (or are subjective). Also, differences in syntax is not interesting. We know Python does with indentation what Ruby does with brackets and ends, and that # is called self in Python.
UPDATE: This is now a community wiki, so we can add the big differences here.
Ruby has a class reference in the class body
In Ruby you have a reference to the class (self) already in the class body. In Python you don't have a reference to the class until after the class construction is finished.
An example:
class Kaka
puts self
end
self in this case is the class, and this code would print out "Kaka". There is no way to print out the class name or in other ways access the class from the class definition body in Python (outside method definitions).
All classes are mutable in Ruby
This lets you develop extensions to core classes. Here's an example of a rails extension:
class String
def starts_with?(other)
head = self[0, other.length]
head == other
end
end
Python (imagine there were no ''.startswith method):
def starts_with(s, prefix):
return s[:len(prefix)] == prefix
You could use it on any sequence (not just strings). In order to use it you should import it explicitly e.g., from some_module import starts_with.
Ruby has Perl-like scripting features
Ruby has first class regexps, $-variables, the awk/perl line by line input loop and other features that make it more suited to writing small shell scripts that munge text files or act as glue code for other programs.
Ruby has first class continuations
Thanks to the callcc statement. In Python you can create continuations by various techniques, but there is no support built in to the language.
Ruby has blocks
With the "do" statement you can create a multi-line anonymous function in Ruby, which will be passed in as an argument into the method in front of do, and called from there. In Python you would instead do this either by passing a method or with generators.
Ruby:
amethod { |here|
many=lines+of+code
goes(here)
}
Python (Ruby blocks correspond to different constructs in Python):
with amethod() as here: # `amethod() is a context manager
many=lines+of+code
goes(here)
Or
for here in amethod(): # `amethod()` is an iterable
many=lines+of+code
goes(here)
Or
def function(here):
many=lines+of+code
goes(here)
amethod(function) # `function` is a callback
Interestingly, the convenience statement in Ruby for calling a block is called "yield", which in Python will create a generator.
Ruby:
def themethod
yield 5
end
themethod do |foo|
puts foo
end
Python:
def themethod():
yield 5
for foo in themethod():
print foo
Although the principles are different, the result is strikingly similar.
Ruby supports functional style (pipe-like) programming more easily
myList.map(&:description).reject(&:empty?).join("\n")
Python:
descriptions = (f.description() for f in mylist)
"\n".join(filter(len, descriptions))
Python has built-in generators (which are used like Ruby blocks, as noted above)
Python has support for generators in the language. In Ruby 1.8 you can use the generator module which uses continuations to create a generator from a block. Or, you could just use a block/proc/lambda! Moreover, in Ruby 1.9 Fibers are, and can be used as, generators, and the Enumerator class is a built-in generator 4
docs.python.org has this generator example:
def reverse(data):
for index in range(len(data)-1, -1, -1):
yield data[index]
Contrast this with the above block examples.
Python has flexible name space handling
In Ruby, when you import a file with require, all the things defined in that file will end up in your global namespace. This causes namespace pollution. The solution to that is Rubys modules. But if you create a namespace with a module, then you have to use that namespace to access the contained classes.
In Python, the file is a module, and you can import its contained names with from themodule import *, thereby polluting the namespace if you want. But you can also import just selected names with from themodule import aname, another or you can simply import themodule and then access the names with themodule.aname. If you want more levels in your namespace you can have packages, which are directories with modules and an __init__.py file.
Python has docstrings
Docstrings are strings that are attached to modules, functions and methods and can be
introspected at runtime. This helps for creating such things as the help command and
automatic documentation.
def frobnicate(bar):
"""frobnicate takes a bar and frobnicates it
>>> bar = Bar()
>>> bar.is_frobnicated()
False
>>> frobnicate(bar)
>>> bar.is_frobnicated()
True
"""
Ruby's equivalent are similar to javadocs, and located above the method instead of within it. They can be retrieved at runtime from the files by using 1.9's Method#source_location example use
Python has multiple inheritance
Ruby does not ("on purpose" -- see Ruby's website, see here how it's done in Ruby). It does reuse the module concept as a type of abstract classes.
Python has list/dict comprehensions
Python:
res = [x*x for x in range(1, 10)]
Ruby:
res = (0..9).map { |x| x * x }
Python:
>>> (x*x for x in range(10))
<generator object <genexpr> at 0xb7c1ccd4>
>>> list(_)
[0, 1, 4, 9, 16, 25, 36, 49, 64, 81]
Ruby:
p = proc { |x| x * x }
(0..9).map(&p)
Python 2.7+:
>>> {x:str(y*y) for x,y in {1:2, 3:4}.items()}
{1: '4', 3: '16'}
Ruby:
>> Hash[{1=>2, 3=>4}.map{|x,y| [x,(y*y).to_s]}]
=> {1=>"4", 3=>"16"}
Python has decorators
Things similar to decorators can also be created in Ruby, and it can also be argued that they aren't as necessary as in Python.
Syntax differences
Ruby requires "end" or "}" to close all of its scopes, while Python uses white-space only. There have been recent attempts in Ruby to allow for whitespace only indentation http://github.com/michaeledgar/seamless
Ruby has the concepts of blocks, which are essentially syntactic sugar around a section of code; they are a way to create closures and pass them to another method which may or may not use the block. A block can be invoked later on through a yield statement.
For example, a simple definition of an each method on Array might be something like:
class Array
def each
for i in self
yield(i) # If a block has been passed, control will be passed here.
end
end
end
Then you can invoke this like so:
# Add five to each element.
[1, 2, 3, 4].each{ |e| puts e + 5 }
> [6, 7, 8, 9]
Python has anonymous functions/closures/lambdas, but it doesn't quite have blocks since it's missing some of the useful syntactic sugar. However, there's at least one way to get it in an ad-hoc fashion. See, for example, here.
Python Example
Functions are first-class variables in Python. You can declare a function, pass it around as an object, and overwrite it:
def func(): print "hello"
def another_func(f): f()
another_func(func)
def func2(): print "goodbye"
func = func2
This is a fundamental feature of modern scripting languages. JavaScript and Lua do this, too. Ruby doesn't treat functions this way; naming a function calls it.
Of course, there are ways to do these things in Ruby, but they're not first-class operations. For example, you can wrap a function with Proc.new to treat it as a variable--but then it's no longer a function; it's an object with a "call" method.
Ruby's functions aren't first-class objects
Ruby functions aren't first-class objects. Functions must be wrapped in an object to pass them around; the resulting object can't be treated like a function. Functions can't be assigned in a first-class manner; instead, a function in its container object must be called to modify them.
def func; p "Hello" end
def another_func(f); method(f)[] end
another_func(:func) # => "Hello"
def func2; print "Goodbye!"
self.class.send(:define_method, :func, method(:func2))
func # => "Goodbye!"
method(:func).owner # => Object
func # => "Goodbye!"
self.func # => "Goodbye!"
Ultimately all answers are going to be subjective at some level, and the answers posted so far pretty much prove that you can't point to any one feature that isn't doable in the other language in an equally nice (if not similar) way, since both languages are very concise and expressive.
I like Python's syntax. However, you have to dig a bit deeper than syntax to find the true beauty of Ruby. There is zenlike beauty in Ruby's consistency. While no trivial example can possibly explain this completely, I'll try to come up with one here just to explain what I mean.
Reverse the words in this string:
sentence = "backwards is sentence This"
When you think about how you would do it, you'd do the following:
Split the sentence up into words
Reverse the words
Re-join the words back into a string
In Ruby, you'd do this:
sentence.split.reverse.join ' '
Exactly as you think about it, in the same sequence, one method call after another.
In python, it would look more like this:
" ".join(reversed(sentence.split()))
It's not hard to understand, but it doesn't quite have the same flow. The subject (sentence) is buried in the middle. The operations are a mix of functions and object methods. This is a trivial example, but one discovers many different examples when really working with and understanding Ruby, especially on non-trivial tasks.
Python has a "we're all adults here" mentality. Thus, you'll find that Ruby has things like constants while Python doesn't (although Ruby's constants only raise a warning). The Python way of thinking is that if you want to make something constant, you should put the variable names in all caps and not change it.
For example, Ruby:
>> PI = 3.14
=> 3.14
>> PI += 1
(irb):2: warning: already initialized constant PI
=> 4.14
Python:
>>> PI = 3.14
>>> PI += 1
>>> PI
4.1400000000000006
You can import only specific functions from a module in Python. In Ruby, you import the whole list of methods. You could "unimport" them in Ruby, but it's not what it's all about.
EDIT:
let's take this Ruby module :
module Whatever
def method1
end
def method2
end
end
if you include it in your code :
include Whatever
you'll see that both method1 and method2 have been added to your namespace. You can't import only method1. You either import them both or you don't import them at all. In Python you can import only the methods of your choosing. If this would have a name maybe it would be called selective importing?
From Ruby's website:
Similarities
As with Python, in Ruby,...
There’s an interactive prompt (called irb).
You can read docs on the command line (with the ri command instead of pydoc).
There are no special line terminators (except the usual newline).
String literals can span multiple lines like Python’s triple-quoted strings.
Brackets are for lists, and braces are for dicts (which, in Ruby, are called “hashes”).
Arrays work the same (adding them makes one long array, but composing them like this a3 = [ a1, a2 ] gives you an array of arrays).
Objects are strongly and dynamically typed.
Everything is an object, and variables are just references to objects.
Although the keywords are a bit different, exceptions work about the same.
You’ve got embedded doc tools (Ruby’s is called rdoc).
Differences
Unlike Python, in Ruby,...
Strings are mutable.
You can make constants (variables whose value you don’t intend to change).
There are some enforced case-conventions (ex. class names start with a capital letter, variables start with a lowercase letter).
There’s only one kind of list container (an Array), and it’s mutable.
Double-quoted strings allow escape sequences (like \t) and a special “expression substitution” syntax (which allows you to insert the results of Ruby expressions directly into other strings without having to "add " + "strings " + "together"). Single-quoted strings are like Python’s r"raw strings".
There are no “new style” and “old style” classes. Just one kind.
You never directly access attributes. With Ruby, it’s all method calls.
Parentheses for method calls are usually optional.
There’s public, private, and protected to enforce access, instead of Python’s _voluntary_ underscore __convention__.
“mixin’s” are used instead of multiple inheritance.
You can add or modify the methods of built-in classes. Both languages let you open up and modify classes at any point, but Python prevents modification of built-ins — Ruby does not.
You’ve got true and false instead of True and False (and nil instead of None).
When tested for truth, only false and nil evaluate to a false value. Everything else is true (including 0, 0.0, "", and []).
It’s elsif instead of elif.
It’s require instead of import. Otherwise though, usage is the same.
The usual-style comments on the line(s) above things (instead of docstrings below them) are used for generating docs.
There are a number of shortcuts that, although give you more to remember, you quickly learn. They tend to make Ruby fun and very productive.
What Ruby has over Python are its scripting language capabilities. Scripting language in this context meaning to be used for "glue code" in shell scripts and general text manipulation.
These are mostly shared with Perl. First-class built-in regular expressions, $-Variables, useful command line options like Perl (-a, -e) etc.
Together with its terse yet epxressive syntax it is perfect for these kind of tasks.
Python to me is more of a dynamically typed business language that is very easy to learn and has a neat syntax. Not as "cool" as Ruby but neat.
What Python has over Ruby to me is the vast number of bindings for other libs. Bindings to Qt and other GUI libs, many game support libraries and and and. Ruby has much less. While much used bindings e.g. to Databases are of good quality I found niche libs to be better supported in Python even if for the same library there is also a Ruby binding.
So, I'd say both languages have its use and it is the task that defines which one to use. Both are easy enough to learn. I use them side-by-side. Ruby for scripting and Python for stand-alone apps.
I don't think "Ruby has X and Python doesn't, while Python has Y and Ruby doesn't" is the most useful way to look at it. They're quite similar languages, with many shared abilities.
To a large degree, the difference is what the language makes elegant and readable. To use an example you brought up, both do theoretically have lambdas, but Python programmers tend to avoid them, and constructs made using them do not look anywhere near as readable or idiomatic as in Ruby. So in Python, a good programmer will want to take a different route to solving the problem than he would in Ruby, just because it actually is the better way to do it.
I'd like to suggest a variant of the original question, "What does Ruby have that Python doesn't, and vice versa?" which admits the disappointing answer, "Well, what can you do with either Ruby or Python that can't be done in Intercal?" Nothing on that level, because Python and Ruby are both part of the vast royal family sitting on the throne of being Turing approximant.
But what about this:
What can be done gracefully and well in Python that can't be done in Ruby with such beauty and good engineering, or vice versa?
That may be much more interesting than mere feature comparison.
Python has an explicit, builtin syntax for list-comprehenions and generators whereas in Ruby you would use map and code blocks.
Compare
list = [ x*x for x in range(1, 10) ]
to
res = (1..10).map{ |x| x*x }
"Variables that start with a capital letter becomes constants and can't be modified"
Wrong. They can.
You only get a warning if you do.
Somewhat more on the infrastructure side:
Python has much better integration with C++ (via things like Boost.Python, SIP, and Py++) than Ruby, where the options seem to be either write directly against the Ruby interpreter API (which you can do with Python as well, of course, but in both cases doing so is low level, tedious, and error prone) or use SWIG (which, while it works and definitely is great if you want to support many languages, isn't nearly as nice as Boost.Python or SIP if you are specifically looking to bind C++).
Python has a number of web application environments (Django, Pylons/Turbogears, web.py, probably at least half a dozen others), whereas Ruby (effectively) has one: Rails. (Other Ruby web frameworks do exist, but seemingly have a hard time getting much traction against Rails). Is this aspect good or bad? Hard to say, and probably quite subjective; I can easily imagine arguments that the Python situation is better and that the Ruby situation is better.
Culturally, the Python and Ruby communities seem somewhat different, but I can only hint at this as I don't have that much experience interacting with the Ruby community. I'm adding this mostly in the hopes that someone who has a lot of experience with both can amplify (or reject) this statement.
Shamelessly copy/pasted from: Alex Martelli answer on "What's better about Ruby than Python" thread from comp.lang.python mailing list.
Aug 18 2003, 10:50 am Erik Max Francis
wrote:
"Brandon J. Van Every" wrote:
What's better about Ruby than Python? I'm sure there's something.
What is it?
Wouldn't it make much more sense to ask Ruby people this, rather than
Python people?
Might, or might not, depending on
one's purposes -- for example, if
one's purposes include a "sociological
study" of the Python community, then
putting questions to that community is
likely to prove more revealing of
information about it, than putting
them elsewhere:-).
Personally, I gladly took the
opportunity to follow Dave Thomas'
one-day Ruby tutorial at last OSCON.
Below a thin veneer of syntax
differences, I find Ruby and Python
amazingly similar -- if I was
computing the minimum spanning tree
among just about any set of languages,
I'm pretty sure Python and Ruby would
be the first two leaves to coalesce
into an intermediate node:-).
Sure, I do get weary, in Ruby, of
typing the silly "end" at the end of
each block (rather than just
unindenting) -- but then I do get to
avoid typing the equally-silly ':'
which Python requires at the
start of each block, so that's almost a wash:-). Other syntax
differences such as '#foo' versus
'self.foo', or the higher significance
of case in Ruby vs Python, are really
just about as irrelevant to me.
Others no doubt base their choice of
programming languages on just such
issues, and they generate the hottest
debates -- but to me that's just an
example of one of Parkinson's Laws in
action (the amount on debate on an
issue is inversely proportional to the
issue's actual importance).
Edit (by AM 6/19/2010 11:45): this is also known as "painting the
bikeshed" (or, for short,
"bikeshedding") -- the reference is,
again, to Northcote Parkinson, who
gave "debates on what color to paint
the bikeshed" as a typical example of
"hot debates on trivial topics".
(end-of-Edit).
One syntax difference that I do find
important, and in Python's favor --
but other people will no doubt think
just the reverse -- is "how do you
call a function which takes no
parameters". In Python (like in C),
to call a function you always apply
the "call operator" -- trailing
parentheses just after the object
you're calling (inside those trailing
parentheses go the args you're passing
in the call -- if you're passing no
args, then the parentheses are empty).
This leaves the mere mention of
any object, with no operator involved, as meaning just a reference
to the object -- in any context,
without special cases, exceptions,
ad-hoc rules, and the like. In Ruby
(like in Pascal), to call a function
WITH arguments you pass the args
(normally in parentheses, though that
is not invariably the case) -- BUT if
the function takes no args then simply
mentioning the function implicitly
calls it. This may meet the
expectations of many people (at least,
no doubt, those whose only previous
experience of programming was with
Pascal, or other languages with
similar "implicit calling", such as
Visual Basic) -- but to me, it means
the mere mention of an object may
EITHER mean a reference to the object,
OR a call to the object, depending on
the object's type -- and in those
cases where I can't get a reference to
the object by merely mentioning it I
will need to use explicit "give me a
reference to this, DON'T call it!"
operators that aren't needed
otherwise. I feel this impacts the
"first-classness" of functions (or
methods, or other callable objects)
and the possibility of interchanging
objects smoothly. Therefore, to me,
this specific syntax difference is a
serious black mark against Ruby -- but
I do understand why others would thing
otherwise, even though I could hardly
disagree more vehemently with them:-).
Below the syntax, we get into some
important differences in elementary
semantics -- for example, strings in
Ruby are mutable objects (like in
C++), while in Python they are not
mutable (like in Java, or I believe
C#). Again, people who judge
primarily by what they're already
familiar with may think this is a plus
for Ruby (unless they're familiar with
Java or C#, of course:-). Me, I think
immutable strings are an excellent
idea (and I'm not surprised that Java,
independently I think, reinvented that
idea which was already in Python),
though I wouldn't mind having a
"mutable string buffer" type as well
(and ideally one with better
ease-of-use than Java's own "string
buffers"); and I don't give this
judgment because of familiarity --
before studying Java, apart from
functional programming languages where
all data are immutable, all the languages I knew had mutable strings
-- yet when I first saw the immutable-string idea in Java (which I
learned well before I learned Python),
it immediately struck me as excellent,
a very good fit for the
reference-semantics of a higher level
programming language (as opposed to
the value-semantics that fit best with
languages closer to the machine and
farther from applications, such as C)
with strings as a first-class,
built-in (and pretty crucial) data
type.
Ruby does have some advantages in
elementary semantics -- for example,
the removal of Python's "lists vs
tuples" exceedingly subtle
distinction. But mostly the score (as
I keep it, with simplicity a big plus
and subtle, clever distinctions a
notable minus) is against Ruby (e.g.,
having both closed and half-open
intervals, with the notations a..b and
a...b [anybody wants to claim that
it's obvious which is which?-)], is
silly -- IMHO, of course!). Again,
people who consider having a lot of
similar but subtly different things at
the core of a language a PLUS, rather
than a MINUS, will of course count
these "the other way around" from how
I count them:-).
Don't be misled by these comparisons
into thinking the two languages are
very different, mind you. They aren't. But if I'm asked to compare
"capelli d'angelo" to "spaghettini",
after pointing out that these two
kinds of pasta are just about
undistinguishable to anybody and
interchangeable in any dish you might
want to prepare, I would then
inevitably have to move into
microscopic examination of how the
lengths and diameters imperceptibly
differ, how the ends of the strands
are tapered in one case and not in the
other, and so on -- to try and explain
why I, personally, would rather have
capelli d'angelo as the pasta in any
kind of broth, but would prefer
spaghettini as the pastasciutta to go
with suitable sauces for such long
thin pasta forms (olive oil, minced
garlic, minced red peppers, and finely
ground anchovies, for example - but if
you sliced the garlic and peppers
instead of mincing them, then you
should choose the sounder body of
spaghetti rather than the thinner
evanescence of spaghettini, and would
be well advised to forego the achovies
and add instead some fresh spring
basil [or even -- I'm a heretic...! --
light mint...] leaves -- at the very
last moment before serving the dish).
Ooops, sorry, it shows that I'm
traveling abroad and haven't had pasta
for a while, I guess. But the analogy
is still pretty good!-)
So, back to Python and Ruby, we come
to the two biggies (in terms of
language proper -- leaving the
libraries, and other important
ancillaries such as tools and
environments, how to embed/extend each
language, etc, etc, out of it for now
-- they wouldn't apply to all IMPLEMENTATIONS of each language
anyway, e.g., Jython vs Classic Python
being two implementations of the
Python language!):
Ruby's iterators and codeblocks vs Python's iterators and generators;
Ruby's TOTAL, unbridled "dynamicity", including the ability
to "reopen" any existing class,
including all built-in ones, and
change its behavior at run-time -- vs
Python's vast but bounded
dynamicity, which never changes the
behavior of existing built-in
classes and their instances.
Personally, I consider 1 a wash (the
differences are so deep that I could
easily see people hating either
approach and revering the other, but
on MY personal scales the pluses and
minuses just about even up); and 2 a
crucial issue -- one that makes Ruby
much more suitable for "tinkering",
BUT Python equally more suitable for
use in large production applications.
It's funny, in a way, because both
languages are so MUCH more dynamic
than most others, that in the end the
key difference between them from my
POV should hinge on that -- that Ruby
"goes to eleven" in this regard (the
reference here is to "Spinal Tap", of
course). In Ruby, there are no limits
to my creativity -- if I decide that
all string comparisons must become
case-insensitive, I CAN DO THAT!
I.e., I can dynamically alter the
built-in string class so that
a = "Hello World"
b = "hello world"
if a == b
print "equal!\n"
else
print "different!\n"
end WILL print "equal". In python, there is NO way I can do that.
For the purposes of metaprogramming,
implementing experimental frameworks,
and the like, this amazing dynamic
ability of Ruby is extremely
appealing. BUT -- if we're talking
about large applications, developed by
many people and maintained by even
more, including all kinds of libraries
from diverse sources, and needing to
go into production in client sites...
well, I don't WANT a language that is
QUITE so dynamic, thank you very much.
I loathe the very idea of some library
unwittingly breaking other unrelated
ones that rely on those strings being
different -- that's the kind of deep
and deeply hidden "channel", between
pieces of code that LOOK separate and
SHOULD BE separate, that spells
d-e-a-t-h in large-scale programming.
By letting any module affect the
behavior of any other "covertly", the
ability to mutate the semantics of
built-in types is just a BAD idea for
production application programming,
just as it's cool for tinkering.
If I had to use Ruby for such a large
application, I would try to rely on
coding-style restrictions, lots of
tests (to be rerun whenever ANYTHING
changes -- even what should be totally
unrelated...), and the like, to
prohibit use of this language feature.
But NOT having the feature in the
first place is even better, in my
opinion -- just as Python itself would
be an even better language for
application programming if a certain
number of built-ins could be "nailed
down", so I KNEW that, e.g.,
len("ciao") is 4 (rather than having
to worry subliminally about whether
somebody's changed the binding of name
'len' in the builtins module...).
I do hope that eventually Python does
"nail down" its built-ins.
But the problem's minor, since
rebinding built-ins is quite a
deprecated as well as a rare practice
in Python. In Ruby, it strikes me as
major -- just like the too powerful
macro facilities of other languages
(such as, say, Dylan) present similar
risks in my own opinion (I do hope
that Python never gets such a powerful
macro system, no matter the allure of
"letting people define their own
domain-specific little languages
embedded in the language itself" -- it
would, IMHO, impair Python's wonderful
usefulness for application
programming, by presenting an
"attractive nuisance" to the would-be
tinkerer who lurks in every
programmer's heart...).
Alex
Some others from:
http://www.ruby-lang.org/en/documentation/ruby-from-other-languages/to-ruby-from-python/
(If I have misintrepreted anything or any of these have changed on the Ruby side since that page was updated, someone feel free to edit...)
Strings are mutable in Ruby, not in Python (where new strings are created by "changes").
Ruby has some enforced case conventions, Python does not.
Python has both lists and tuples (immutable lists). Ruby has arrays corresponding to Python lists, but no immutable variant of them.
In Python, you can directly access object attributes. In Ruby, it's always via methods.
In Ruby, parentheses for method calls are usually optional, but not in Python.
Ruby has public, private, and protected to enforce access, instead of Python’s convention of using underscores and name mangling.
Python has multiple inheritance. Ruby has "mixins."
And another very relevant link:
http://c2.com/cgi/wiki?PythonVsRuby
Which, in particular, links to another good one by Alex Martelli, who's been also posting a lot of great stuff here on SO:
http://groups.google.com/group/comp.lang.python/msg/028422d707512283
I'm unsure of this, so I add it as an answer first.
Python treats unbound methods as functions
That means you can call a method either like theobject.themethod() or by TheClass.themethod(anobject).
Edit: Although the difference between methods and functions is small in Python, and non-existant in Python 3, it also doesn't exist in Ruby, simply because Ruby doesn't have functions. When you define functions, you are actually defining methods on Object.
But you still can't take the method of one class and call it as a function, you would have to rebind it to the object you want to call on, which is much more obstuse.
I would like to mention Python descriptor API that allows one customize object-to-attribute "communication". It is also noteworthy that, in Python, one is free to implement an alternative protocol via overriding the default given through the default implementation of the __getattribute__ method.
Let me give more details about the aforementioned.
Descriptors are regular classes with __get__, __set__ and/or __delete__ methods.
When interpreter encounters something like anObj.anAttr, the following is performed:
__getattribute__ method of anObj is invoked
__getattribute__ retrieves anAttr object from the class dict
it checks whether abAttr object has __get__, __set__ or __delete__ callable objects
the context (i.e., caller object or class, and value, instead of the latter, if we have setter) is passed to the callable object
the result is returned.
As was mentioned, this is the default behavior. One is free to change the protocol by re-implementing __getattribute__.
This technique is lot more powerful than decorators.
Ruby has builtin continuation support using callcc.
Hence you can implement cool things like the amb-operator
At this stage, Python still has better unicode support
Python has docstrings and ruby doesn't... Or if it doesn't, they are not accessible as easily as in python.
Ps. If im wrong, pretty please, leave an example? I have a workaround that i could monkeypatch into classes quite easily but i'd like to have docstring kinda of a feature in "native way".
Ruby has a line by line loop over input files (the '-n' flag) from the commandline so it can be used like AWK. This Ruby one-liner:
ruby -ne 'END {puts $.}'
will count lines like the AWK one-liner:
awk 'END{print NR}'
Ruby gets feature this through Perl, which took it from AWK as a way of getting sysadmins on board with Perl without having to change the way they do things.
Ruby has sigils and twigils, Python doesn't.
Edit: And one very important thing that I forgot (after all, the previous was just to flame a little bit :-p):
Python has a JIT compiler (Psyco), a sightly lower level language for writing faster code (Pyrex) and the ability to add inline C++ code (Weave).
My python's rusty, so some of these may be in python and i just don't remember/never learned in the first place, but here are the first few that I thought of:
Whitespace
Ruby handles whitespace completely different. For starters, you don't need to indent anything (which means it doesn't matter if you use 4 spaces or 1 tab). It also does smart line continuation, so the following is valid:
def foo(bar,
cow)
Basically, if you end with an operator, it figures out what is going on.
Mixins
Ruby has mixins which can extend instances instead of full classes:
module Humor
def tickle
"hee, hee!"
end
end
a = "Grouchy"
a.extend Humor
a.tickle » "hee, hee!"
Enums
I'm not sure if this is the same as generators, but as of Ruby 1.9 ruby as enums, so
>> enum = (1..4).to_enum
=> #<Enumerator:0x1344a8>
Reference: http://blog.nuclearsquid.com/writings/ruby-1-9-what-s-new-what-s-changed
"Keyword Arguments"
Both of the items listed there are supported in Ruby, although you can't skip default values like that.
You can either go in order
def foo(a, b=2, c=3)
puts "#{a}, #{b}, #{c}"
end
foo(1,3) >> 1, 3, 3
foo(1,c=5) >> 1, 5, 3
c >> 5
Note that c=5 actually assigns the variable c in the calling scope the value 5, and sets the parameter b the value 5.
or you can do it with hashes, which address the second issue
def foo(a, others)
others[:b] = 2 unless others.include?(:b)
others[:c] = 3 unless others.include?(:c)
puts "#{a}, #{others[:b]}, #{others[:c]}"
end
foo(1,:b=>3) >> 1, 3, 3
foo(1,:c=>5) >> 1, 2, 5
Reference: The Pragmatic Progammer's Guide to Ruby
You can have code in the class definition in both Ruby and Python. However, in Ruby you have a reference to the class (self). In Python you don't have a reference to the class, as the class isn't defined yet.
An example:
class Kaka
puts self
end
self in this case is the class, and this code would print out "Kaka". There is no way to print out the class name or in other ways access the class from the class definition body in Python.
Syntax is not a minor thing, it has a direct impact on how we think. It also has a direct effect on the rules we create for the systems we use. As an example we have the order of operations because of the way we write mathematical equations or sentences. The standard notation for mathematics allows people to read it more than one way and arrive at different answers given the same equation. If we had used prefix or postfix notation we would have created rules to distinguish what the numbers to be manipulated were rather than only having rules for the order in which to compute values.
The standard notation makes it plain what numbers we are talking about while making the order in which to compute them ambiguous. Prefix and postfix notation make the order in which to compute plain while making the numbers ambiguous. Python would already have multiline lambdas if it were not for the difficulties caused by the syntactic whitespace. (Proposals do exist for pulling this kind of thing off without necessarily adding explicit block delimiters.)
I find it easier to write conditions where I want something to occur if a condition is false much easier to write with the unless statement in Ruby than the semantically equivalent "if-not" construction in Ruby or other languages for example. If most of the languages that people are using today are equal in power, how can the syntax of each language be considered a trivial thing? After specific features like blocks and inheritance mechanisms etc. syntax is the most important part of a language,hardly a superficial thing.
What is superficial are the aesthetic qualities of beauty that we ascribe to syntax. Aesthetics have nothing to do with how our cognition works, syntax does.
Surprised to see nothing mentioned of ruby's "method missing" mechanism. I'd give examples of the find_by_... methods in Rails, as an example of the power of that language feature. My guess is that something similar could be implemented in Python, but to my knowledge it isn't there natively.
Another difference in lambdas between Python and Ruby is demonstrated by Paul Graham's Accumulator Generator problem. Reprinted here:
Write a function foo that takes a number n and returns a function that takes a number i, and returns n incremented by i.
Note: (a) that's number, not integer, (b) that's incremented by, not plus.
In Ruby, you can do this:
def foo(n)
lambda {|i| n += i }
end
In Python, you'd create an object to hold the state of n:
class foo(object):
def __init__(self, n):
self.n = n
def __call__(self, i):
self.n += i
return self.n
Some folks might prefer the explicit Python approach as being clearer conceptually, even if it's a bit more verbose. You store state like you do for anything else. You just need to wrap your head around the idea of callable objects. But regardless of which approach one prefers aesthetically, it does show one respect in which Ruby lambdas are more powerful constructs than Python's.
python has named optional arguments
def func(a, b=2, c=3):
print a, b, c
>>> func(1)
1 2 3
>>> func(1, c=4)
1 2 4
AFAIK Ruby has only positioned arguments because b=2 in the function declaration is an affectation that always append.
Ruby has embedded documentation:
=begin
You could use rdoc to generate man pages from this documentation
=end
http://c2.com/cgi/wiki?PythonVsRuby
http://c2.com/cgi/wiki?SwitchedFromPythonToRuby
http://c2.com/cgi/wiki?SwitchedFromRubyToPython
http://c2.com/cgi/wiki?UsingPythonDontNeedRuby
http://c2.com/cgi/wiki?UsingRubyDontNeedPython
In Ruby, when you import a file with
require, all the things defined in
that file will end up in your global
namespace.
With Cargo you can "require libraries without cluttering your namespace".
# foo-1.0.0.rb
class Foo
VERSION = "1.0.0"
end
# foo-2.0.0.rb
class Foo
VERSION = "2.0.0"
end
>> Foo1 = import("foo-1.0.0")
>> Foo2 = import("foo-2.0.0")
>> Foo1::VERSION
=> "1.0.0"
>> Foo2::VERSION
=> "2.0.0"

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