Consider the following code, I expected it to generate error. But it worked. mydef1(self) should only be invoked with instance of MyClass1 as an argument, but it is accepting MyClass1 as well as rather vague object as instance.
Can someone explain why mydef is accepting class name(MyClass1) and object as argument?
class MyClass1:
def mydef1(self):
return "Hello"
print(MyClass1.mydef1(MyClass1))
print(MyClass1.mydef1(object))
Output
Hello
Hello
There are several parts to the answer to your question because your question signals confusion about a few different aspects of Python.
First, type names are not special in Python. They're just another variable. You can even do something like object = 5 and cause all kinds of confusion.
Secondly, the self parameter is just that, a parameter. When you say MyClass1.mydef1 you're asking for the value of the variable with the name mydef1 inside the variable (that's a module, or class, or something else that defines the __getattr__ method) MyClass1. You get back a function that takes one argument.
If you had done this:
aVar = MyClass1()
aVar.mydef1(object)
it would've failed. When Python gets a method from an instance of a class, the instance's __getattr__ method has special magic to bind the first argument to the same object the method was retrieved from. It then returns the bound method, which now takes one less argument.
I would recommend fiddling around in the interpreter and type in your MyClass1 definition, then type in MyClass1.mydef1 and aVar = MyClass1(); aVar.mydef1 and observe the difference in the results.
If you come from a language like C++ or Java, this can all seem very confusing. But, it's actually a very regular and logical structure. Everything works the same way.
Also, as people have pointed out, names have no type associated with them. The type is associated with the object the name references. So any name can reference any kind of thing. This is also referred to as 'dynamic typing'. Python is dynamically typed in another way as well. You can actually mess around with the internal structure of something and change the type of an object as well. This is fairly deep magic, and I wouldn't suggest doing it until you know what you're doing. And even then you shouldn't do it as it will just confuse everybody else.
Python is dynamically typed, so it doesn't care what gets passed. It only cares that the single required parameter gets an argument as a value. Once inside the function, you never use self, so it doesn't matter what the argument was; you can't misuse what you don't use in the first place.
This question only arises because you are taking the uncommon action of running an instance method as an unbound method with an explicit argument, rather than invoking it on an instance of the class and letting the Python runtime system take care of passing that instance as the first argument to mydef1: MyClass().mydef1() == MyClass.mydef1(MyClass()).
Python is not a statically-typed language, so you can pass to any function any objects of any data types as long as you pass in the right number of parameters, and the self argument in a class method is no different from arguments in any other function.
There is no problem with that whatsoever - self is an object like any other and may be used in any context where object of its type/behavior would be welcome.
Python - Is it okay to pass self to an external function
Can someone provide a simple explanation of methods vs. functions in OOP context?
A function is a piece of code that is called by name. It can be passed data to operate on (i.e. the parameters) and can optionally return data (the return value). All data that is passed to a function is explicitly passed.
A method is a piece of code that is called by a name that is associated with an object. In most respects it is identical to a function except for two key differences:
A method is implicitly passed the object on which it was called.
A method is able to operate on data that is contained within the class (remembering that an object is an instance of a class - the class is the definition, the object is an instance of that data).
(this is a simplified explanation, ignoring issues of scope etc.)
A method is on an object or is static in class.
A function is independent of any object (and outside of any class).
For Java and C#, there are only methods.
For C, there are only functions.
For C++ and Python it would depend on whether or not you're in a class.
But in basic English:
Function: Standalone feature or functionality.
Method: One way of doing something, which has different approaches or methods, but related to the same aspect (aka class).
'method' is the object-oriented word for 'function'. That's pretty much all there is to it (ie., no real difference).
Unfortunately, I think a lot of the answers here are perpetuating or advancing the idea that there's some complex, meaningful difference.
Really - there isn't all that much to it, just different words for the same thing.
[late addition]
In fact, as Brian Neal pointed out in a comment to this question, the C++ standard never uses the term 'method' when refering to member functions. Some people may take that as an indication that C++ isn't really an object-oriented language; however, I prefer to take it as an indication that a pretty smart group of people didn't think there was a particularly strong reason to use a different term.
In general: methods are functions that belong to a class, functions can be on any other scope of the code so you could state that all methods are functions, but not all functions are methods:
Take the following python example:
class Door:
def open(self):
print 'hello stranger'
def knock_door():
a_door = Door()
Door.open(a_door)
knock_door()
The example given shows you a class called "Door" which has a method or action called "open", it is called a method because it was declared inside a class. There is another portion of code with "def" just below which defines a function, it is a function because it is not declared inside a class, this function calls the method we defined inside our class as you can see and finally the function is being called by itself.
As you can see you can call a function anywhere but if you want to call a method either you have to pass a new object of the same type as the class the method is declared (Class.method(object)) or you have to invoke the method inside the object (object.Method()), at least in python.
Think of methods as things only one entity can do, so if you have a Dog class it would make sense to have a bark function only inside that class and that would be a method, if you have also a Person class it could make sense to write a function "feed" for that doesn't belong to any class since both humans and dogs can be fed and you could call that a function since it does not belong to any class in particular.
Simple way to remember:
Function → Free (Free means it can be anywhere, no need to be in an object or class)
Method → Member (A member of an object or class)
A very general definition of the main difference between a Function and a Method:
Functions are defined outside of classes, while Methods are defined inside of and part of classes.
The idea behind Object Oriented paradigm is to "treat" the software is composed of .. well "objects". Objects in real world have properties, for instance if you have an Employee, the employee has a name, an employee id, a position, he belongs to a department etc. etc.
The object also know how to deal with its attributes and perform some operations on them. Let say if we want to know what an employee is doing right now we would ask him.
employe whatAreYouDoing.
That "whatAreYouDoing" is a "message" sent to the object. The object knows how to answer to that questions, it is said it has a "method" to resolve the question.
So, the way objects have to expose its behavior are called methods. Methods thus are the artifact object have to "do" something.
Other possible methods are
employee whatIsYourName
employee whatIsYourDepartmentsName
etc.
Functions in the other hand are ways a programming language has to compute some data, for instance you might have the function addValues( 8 , 8 ) that returns 16
// pseudo-code
function addValues( int x, int y ) return x + y
// call it
result = addValues( 8,8 )
print result // output is 16...
Since first popular programming languages ( such as fortran, c, pascal ) didn't cover the OO paradigm, they only call to these artifacts "functions".
for instance the previous function in C would be:
int addValues( int x, int y )
{
return x + y;
}
It is not "natural" to say an object has a "function" to perform some action, because functions are more related to mathematical stuff while an Employee has little mathematic on it, but you can have methods that do exactly the same as functions, for instance in Java this would be the equivalent addValues function.
public static int addValues( int x, int y ) {
return x + y;
}
Looks familiar? That´s because Java have its roots on C++ and C++ on C.
At the end is just a concept, in implementation they might look the same, but in the OO documentation these are called method.
Here´s an example of the previously Employee object in Java.
public class Employee {
Department department;
String name;
public String whatsYourName(){
return this.name;
}
public String whatsYourDeparmentsName(){
return this.department.name();
}
public String whatAreYouDoing(){
return "nothing";
}
// Ignore the following, only set here for completness
public Employee( String name ) {
this.name = name;
}
}
// Usage sample.
Employee employee = new Employee( "John" ); // Creates an employee called John
// If I want to display what is this employee doing I could use its methods.
// to know it.
String name = employee.whatIsYourName():
String doingWhat = employee.whatAreYouDoint();
// Print the info to the console.
System.out.printf("Employee %s is doing: %s", name, doingWhat );
Output:
Employee John is doing nothing.
The difference then, is on the "domain" where it is applied.
AppleScript have the idea of "natural language" matphor , that at some point OO had. For instance Smalltalk. I hope it may be reasonable easier for you to understand methods in objects after reading this.
NOTE: The code is not to be compiled, just to serve as an example. Feel free to modify the post and add Python example.
In OO world, the two are commonly used to mean the same thing.
From a pure Math and CS perspective, a function will always return the same result when called with the same arguments ( f(x,y) = (x + y) ). A method on the other hand, is typically associated with an instance of a class. Again though, most modern OO languages no longer use the term "function" for the most part. Many static methods can be quite like functions, as they typically have no state (not always true).
Let's say a function is a block of code (usually with its own scope, and sometimes with its own closure) that may receive some arguments and may also return a result.
A method is a function that is owned by an object (in some object oriented systems, it is more correct to say it is owned by a class). Being "owned" by a object/class means that you refer to the method through the object/class; for example, in Java if you want to invoke a method "open()" owned by an object "door" you need to write "door.open()".
Usually methods also gain some extra attributes describing their behaviour within the object/class, for example: visibility (related to the object oriented concept of encapsulation) which defines from which objects (or classes) the method can be invoked.
In many object oriented languages, all "functions" belong to some object (or class) and so in these languages there are no functions that are not methods.
Methods are functions of classes. In normal jargon, people interchange method and function all over. Basically you can think of them as the same thing (not sure if global functions are called methods).
http://en.wikipedia.org/wiki/Method_(computer_science)
A function is a mathematical concept. For example:
f(x,y) = sin(x) + cos(y)
says that function f() will return the sin of the first parameter added to the cosine of the second parameter. It's just math. As it happens sin() and cos() are also functions. A function has another property: all calls to a function with the same parameters, should return the same result.
A method, on the other hand, is a function that is related to an object in an object-oriented language. It has one implicit parameter: the object being acted upon (and it's state).
So, if you have an object Z with a method g(x), you might see the following:
Z.g(x) = sin(x) + cos(Z.y)
In this case, the parameter x is passed in, the same as in the function example earlier. However, the parameter to cos() is a value that lives inside the object Z. Z and the data that lives inside it (Z.y) are implicit parameters to Z's g() method.
Historically, there may have been a subtle difference with a "method" being something which does not return a value, and a "function" one which does.Each language has its own lexicon of terms with special meaning.
In "C", the word "function" means a program routine.
In Java, the term "function" does not have any special meaning. Whereas "method" means one of the routines that forms the implementation of a class.
In C# that would translate as:
public void DoSomething() {} // method
public int DoSomethingAndReturnMeANumber(){} // function
But really, I re-iterate that there is really no difference in the 2 concepts.
If you use the term "function" in informal discussions about Java, people will assume you meant "method" and carry on. Don't use it in proper documents or presentations about Java, or you will look silly.
Function or a method is a named callable piece of code which performs some operations and optionally returns a value.
In C language the term function is used. Java & C# people would say it a method (and a function in this case is defined within a class/object).
A C++ programmer might call it a function or sometimes method (depending on if they are writing procedural style c++ code or are doing object oriented way of C++, also a C/C++ only programmer would likely call it a function because term 'method' is less often used in C/C++ literature).
You use a function by just calling it's name like,
result = mySum(num1, num2);
You would call a method by referencing its object first like,
result = MyCalc.mySum(num1,num2);
Function is a set of logic that can be used to manipulate data.
While, Method is function that is used to manipulate the data of the object where it belongs.
So technically, if you have a function that is not completely related to your class but was declared in the class, its not a method; It's called a bad design.
In OO languages such as Object Pascal or C++, a "method" is a function associated with an object. So, for example, a "Dog" object might have a "bark" function and this would be considered a "Method". In contrast, the "StrLen" function stands alone (it provides the length of a string provided as an argument). It is thus just a "function." Javascript is technically Object Oriented as well but faces many limitations compared to a full-blown language like C++, C# or Pascal. Nonetheless, the distinction should still hold.
A couple of additional facts: C# is fully object oriented so you cannot create standalone "functions." In C# every function is bound to an object and is thus, technically, a "method." The kicker is that few people in C# refer to them as "methods" - they just use the term "functions" because there isn't any real distinction to be made.
Finally - just so any Pascal gurus don't jump on me here - Pascal also differentiates between "functions" (which return a value) and "procedures" which do not. C# does not make this distinction explicitly although you can, of course, choose to return a value or not.
Methods on a class act on the instance of the class, called the object.
class Example
{
public int data = 0; // Each instance of Example holds its internal data. This is a "field", or "member variable".
public void UpdateData() // .. and manipulates it (This is a method by the way)
{
data = data + 1;
}
public void PrintData() // This is also a method
{
Console.WriteLine(data);
}
}
class Program
{
public static void Main()
{
Example exampleObject1 = new Example();
Example exampleObject2 = new Example();
exampleObject1.UpdateData();
exampleObject1.UpdateData();
exampleObject2.UpdateData();
exampleObject1.PrintData(); // Prints "2"
exampleObject2.PrintData(); // Prints "1"
}
}
Since you mentioned Python, the following might be a useful illustration of the relationship between methods and objects in most modern object-oriented languages. In a nutshell what they call a "method" is just a function that gets passed an extra argument (as other answers have pointed out), but Python makes that more explicit than most languages.
# perfectly normal function
def hello(greetee):
print "Hello", greetee
# generalise a bit (still a function though)
def greet(greeting, greetee):
print greeting, greetee
# hide the greeting behind a layer of abstraction (still a function!)
def greet_with_greeter(greeter, greetee):
print greeter.greeting, greetee
# very simple class we can pass to greet_with_greeter
class Greeter(object):
def __init__(self, greeting):
self.greeting = greeting
# while we're at it, here's a method that uses self.greeting...
def greet(self, greetee):
print self.greeting, greetee
# save an object of class Greeter for later
hello_greeter = Greeter("Hello")
# now all of the following print the same message
hello("World")
greet("Hello", "World")
greet_with_greeter(hello_greeter, "World")
hello_greeter.greet("World")
Now compare the function greet_with_greeter and the method greet: the only difference is the name of the first parameter (in the function I called it "greeter", in the method I called it "self"). So I can use the greet method in exactly the same way as I use the greet_with_greeter function (using the "dot" syntax to get at it, since I defined it inside a class):
Greeter.greet(hello_greeter, "World")
So I've effectively turned a method into a function. Can I turn a function into a method? Well, as Python lets you mess with classes after they're defined, let's try:
Greeter.greet2 = greet_with_greeter
hello_greeter.greet2("World")
Yes, the function greet_with_greeter is now also known as the method greet2. This shows the only real difference between a method and a function: when you call a method "on" an object by calling object.method(args), the language magically turns it into method(object, args).
(OO purists might argue a method is something different from a function, and if you get into advanced Python or Ruby - or Smalltalk! - you will start to see their point. Also some languages give methods special access to bits of an object. But the main conceptual difference is still the hidden extra parameter.)
for me:
the function of a method and a function is the same if I agree that:
a function may return a value
may expect parameters
Just like any piece of code you may have objects you put in and you may have an object that comes as a result. During doing that they might change the state of an object but that would not change their basic functioning for me.
There might be a definition differencing in calling functions of objects or other codes. But isn't that something for a verbal differenciations and that's why people interchange them? The mentions example of computation I would be careful with. because I hire employes to do my calculations:
new Employer().calculateSum( 8, 8 );
By doing it that way I can rely on an employer being responsible for calculations. If he wants more money I free him and let the carbage collector's function of disposing unused employees do the rest and get a new employee.
Even arguing that a method is an objects function and a function is unconnected computation will not help me. The function descriptor itself and ideally the function's documentation will tell me what it needs and what it may return. The rest, like manipulating some object's state is not really transparent to me. I do expect both functions and methods to deliver and manipulate what they claim to without needing to know in detail how they do it.
Even a pure computational function might change the console's state or append to a logfile.
From my understanding a method is any operation which can be performed on a class. It is a general term used in programming.
In many languages methods are represented by functions and subroutines. The main distinction that most languages use for these is that functions may return a value back to the caller and a subroutine may not. However many modern languages only have functions, but these can optionally not return any value.
For example, lets say you want to describe a cat and you would like that to be able to yawn. You would create a Cat class, with a Yawn method, which would most likely be a function without any return value.
To a first order approximation, a method (in C++ style OO) is another word for a member function, that is a function that is part of a class.
In languages like C/C++ you can have functions which are not members of a class; you don't call a function not associated with a class a method.
IMHO people just wanted to invent new word for easier communication between programmers when they wanted to refer to functions inside objects.
If you are saying methods you mean functions inside the class.
If you are saying functions you mean simply functions outside the class.
The truth is that both words are used to describe functions. Even if you used it wrongly nothing wrong happens. Both words describe well what you want to achieve in your code.
Function is a code that has to play a role (a function) of doing something.
Method is a method to resolve the problem.
It does the same thing. It is the same thing. If you want to be super precise and go along with the convention you can call methods as the functions inside objects.
Let's not over complicate what should be a very simple answer. Methods and functions are the same thing. You call a function a function when it is outside of a class, and you call a function a method when it is written inside a class.
Function is the concept mainly belonging to Procedure oriented programming where a function is an an entity which can process data and returns you value
Method is the concept of Object Oriented programming where a method is a member of a class which mostly does processing on the class members.
I am not an expert, but this is what I know:
Function is C language term, it refers to a piece of code and the function name will be the identifier to use this function.
Method is the OO term, typically it has a this pointer in the function parameter. You can not invoke this piece of code like C, you need to use object to invoke it.
The invoke methods are also different. Here invoke meaning to find the address of this piece of code. C/C++, the linking time will use the function symbol to locate.
Objecive-C is different. Invoke meaning a C function to use data structure to find the address. It means everything is known at run time.
TL;DR
A Function is a piece of code to run.
A Method is a Function inside an Object.
Example of a function:
function sum(){
console.log("sum")l
}
Example of a Method:
const obj = {
a:1,
b:2,
sum(){
}
}
So thats why we say that a "this" keyword inside a Function is not very useful unless we use it with call, apply or bind .. because call, apply, bind will call that function as a method inside object ==> basically it converts function to method
I know many others have already answered, but I found following is a simple, yet effective single line answer. Though it doesn't look a lot better than others answers here, but if you read it carefully, it has everything you need to know about the method vs function.
A method is a function that has a defined receiver, in OOP terms, a method is a function on an instance of an object.
A class is the collection of some data and function optionally with a constructor.
While you creating an instance (copy,replication) of that particular class the constructor initialize the class and return an object.
Now the class become object (without constructor)
&
Functions are known as method in the object context.
So basically
Class <==new==>Object
Function <==new==>Method
In java the it is generally told as that the constructor name same as class name but in real that constructor is like instance block and static block but with having a user define return type(i.e. Class type)
While the class can have an static block,instance block,constructor, function
The object generally have only data & method.
Function - A function in an independent piece of code which includes some logic and must be called independently and are defined outside of class.
Method - A method is an independent piece of code which is called in reference to some object and are be defined inside the class.
General answer is:
method has object context (this, or class instance reference),
function has none context (null, or global, or static).
But answer to question is dependent on terminology of language you use.
In JavaScript (ES 6) you are free to customising function context (this) for any you desire, which is normally must be link to the (this) object instance context.
In Java world you always hear that "only OOP classes/objects, no functions", but if you watch in detailes to static methods in Java, they are really in global/null context (or context of classes, whithout instancing), so just functions whithout object. Java teachers could told you, that functions were rudiment of C in C++ and dropped in Java, but they told you it for simplification of history and avoiding unnecessary questions of newbies. If you see at Java after 7 version, you can find many elements of pure function programming (even not from C, but from older 1988 Lisp) for simplifying parallel computing, and it is not OOP classes style.
In C++ and D world things are stronger, and you have separated functions and objects with methods and fields. But in practice, you again see functions without this and methods whith this (with object context).
In FreePascal/Lazarus and Borland Pascal/Delphi things about separation terms of functions and objects (variables and fields) are usually similar to C++.
Objective-C comes from C world, so you must separate C functions and Objective-C objects with methods addon.
C# is very similar to Java, but has many C++ advantages.
In C++, sometimes, method is used to reflect the notion of member function of a class. However, recently I found a statement in the book «The C++ Programming Language 4th Edition», on page 586 "Derived Classes"
A virtual function is sometimes called a method.
This is a little bit confusing, but he said sometimes, so it roughly makes sense, C++ creator tends to see methods as functions can be invoked on objects and can behave polymorphic.
I'm working on this project which deals with vectors in python. But I'm new to python and don't really know how to crack it. Here's the instruction:
"Add a constructor to the Vector class. The constructor should take a single argument. If this argument is either an int or a long or an instance of a class derived from one of these, then consider this argument to be the length of the Vector instance. In this case, construct a Vector of the specified length with each element is initialized to 0.0. If the length is negative, raise a ValueError with an appropriate message. If the argument is not considered to be the length, then if the argument is a sequence (such as a list), then initialize with vector with the length and values of the given sequence. If the argument is not used as the length of the vector and if it is not a sequence, then raise a TypeError with an appropriate message.
Next implement the __repr__ method to return a string of python code which could be used to initialize the Vector. This string of code should consist of the name of the class followed by an open parenthesis followed by the contents of the vector represented as a list followed by a close parenthesis."
I'm not sure how to do the class type checking, as well as how to initialize the vector based on the given object. Could someone please help me with this? Thanks!
Your instructor seems not to "speak Python as a native language". ;) The entire concept for the class is pretty silly; real Python programmers just use the built-in sequence types directly. But then, this sort of thing is normal for academic exercises, sadly...
Add a constructor to the Vector class.
In Python, the common "this is how you create a new object and say what it's an instance of" stuff is handled internally by default, and then the baby object is passed to the class' initialization method to make it into a "proper" instance, by setting the attributes that new instances of the class should have. We call that method __init__.
The constructor should take a single argument. If this argument is either an int or a long or an instance of a class derived from one of these
This is tested by using the builtin function isinstance. You can look it up for yourself in the documentation (or try help(isinstance) at the REPL).
In this case, construct a Vector of the specified length with each element is initialized to 0.0.
In our __init__, we generally just assign the starting values for attributes. The first parameter to __init__ is the new object we're initializing, which we usually call "self" so that people understand what we're doing. The rest of the arguments are whatever was passed when the caller requested an instance. In our case, we're always expecting exactly one argument. It might have different types and different meanings, so we should give it a generic name.
When we detect that the generic argument is an integer type with isinstance, we "construct" the vector by setting the appropriate data. We just assign to some attribute of self (call it whatever makes sense), and the value will be... well, what are you going to use to represent the vector's data internally? Hopefully you've already thought about this :)
If the length is negative, raise a ValueError with an appropriate message.
Oh, good point... we should check that before we try to construct our storage. Some of the obvious ways to do it would basically treat a negative number the same as zero. Other ways might raise an exception that we don't get to control.
If the argument is not considered to be the length, then if the argument is a sequence (such as a list), then initialize with vector with the length and values of the given sequence.
"Sequence" is a much fuzzier concept; lists and tuples and what-not don't have a "sequence" base class, so we can't easily check this with isinstance. (After all, someone could easily invent a new kind of sequence that we didn't think of). The easiest way to check if something is a sequence is to try to create an iterator for it, with the built-in iter function. This will already raise a fairly meaningful TypeError if the thing isn't iterable (try it!), so that makes the error handling easy - we just let it do its thing.
Assuming we got an iterator, we can easily create our storage: most sequence types (and I assume you have one of them in mind already, and that one is certainly included) will accept an iterator for their __init__ method and do the obvious thing of copying the sequence data.
Next implement the __repr__ method to return a string of python code which could be used to initialize the Vector. This string of code should consist of the name of the class followed by an open parenthesis followed by the contents of the vector represented as a list followed by a close parenthesis."
Hopefully this is self-explanatory. Hint: you should be able to simplify this by making use of the storage attribute's own __repr__. Also consider using string formatting to put the string together.
Everything you need to get started is here:
http://docs.python.org/library/functions.html
There are many examples of how to check types in Python on StackOverflow (see my comment for the top-rated one).
To initialize a class, use the __init__ method:
class Vector(object):
def __init__(self, sequence):
self._internal_list = list(sequence)
Now you can call:
my_vector = Vector([1, 2, 3])
And inside other functions in Vector, you can refer to self._internal_list. I put _ before the variable name to indicate that it shouldn't be changed from outside the class.
The documentation for the list function may be useful for you.
You can do the type checking with isinstance.
The initialization of a class with done with an __init__ method.
Good luck with your assignment :-)
This may or may not be appropriate depending on the homework, but in Python programming it's not very usual to explicitly check the type of an argument and change the behaviour based on that. It's more normal to just try to use the features you expect it to have (possibly catching exceptions if necessary to fall back to other options).
In this particular example, a normal Python programmer implementing a Vector that needed to work this way would try using the argument as if it were an integer/long (hint: what happens if you multiply a list by an integer?) to initialize the Vector and if that throws an exception try using it as if it were a sequence, and if that failed as well then you can throw a TypeError.
The reason for doing this is that it leaves your class open to working with other objects types people come up with later that aren't integers or sequences but work like them. In particular it's very difficult to comprehensively check whether something is a "sequence", because user-defined classes that can be used as sequences don't have to be instances of any common type you can check. The Vector class itself is quite a good candidate for using to initialize a Vector, for example!
But I'm not sure if this is the answer your teacher is expecting. If you haven't learned about exception handling yet, then you're almost certainly not meant to use this approach so please ignore my post. Good luck with your learning!
I'm a bit surprised by Python's extensive use of 'magic methods'.
For example, in order for a class to declare that instances have a "length", it implements a __len__ method, which it is called when you write len(obj). Why not just define a len method which is called directly as a member of the object, e.g. obj.len()?
See also: Why does Python code use len() function instead of a length method?
AFAIK, len is special in this respect and has historical roots.
Here's a quote from the FAQ:
Why does Python use methods for some
functionality (e.g. list.index()) but
functions for other (e.g. len(list))?
The major reason is history. Functions
were used for those operations that
were generic for a group of types and
which were intended to work even for
objects that didn’t have methods at
all (e.g. tuples). It is also
convenient to have a function that can
readily be applied to an amorphous
collection of objects when you use the
functional features of Python (map(),
apply() et al).
In fact, implementing len(), max(),
min() as a built-in function is
actually less code than implementing
them as methods for each type. One can
quibble about individual cases but
it’s a part of Python, and it’s too
late to make such fundamental changes
now. The functions have to remain to
avoid massive code breakage.
The other "magical methods" (actually called special method in the Python folklore) make lots of sense, and similar functionality exists in other languages. They're mostly used for code that gets called implicitly when special syntax is used.
For example:
overloaded operators (exist in C++ and others)
constructor/destructor
hooks for accessing attributes
tools for metaprogramming
and so on...
From the Zen of Python:
In the face of ambiguity, refuse the temptation to guess.
There should be one-- and preferably only one --obvious way to do it.
This is one of the reasons - with custom methods, developers would be free to choose a different method name, like getLength(), length(), getlength() or whatsoever. Python enforces strict naming so that the common function len() can be used.
All operations that are common for many types of objects are put into magic methods, like __nonzero__, __len__ or __repr__. They are mostly optional, though.
Operator overloading is also done with magic methods (e.g. __le__), so it makes sense to use them for other common operations, too.
Python uses the word "magic methods", because those methods really performs magic for you program. One of the biggest advantages of using Python's magic methods is that they provide a simple way to make objects behave like built-in types. That means you can avoid ugly, counter-intuitive, and nonstandard ways of performing basic operators.
Consider a following example:
dict1 = {1 : "ABC"}
dict2 = {2 : "EFG"}
dict1 + dict2
Traceback (most recent call last):
File "python", line 1, in <module>
TypeError: unsupported operand type(s) for +: 'dict' and 'dict'
This gives an error, because the dictionary type doesn't support addition. Now, let's extend dictionary class and add "__add__" magic method:
class AddableDict(dict):
def __add__(self, otherObj):
self.update(otherObj)
return AddableDict(self)
dict1 = AddableDict({1 : "ABC"})
dict2 = AddableDict({2 : "EFG"})
print (dict1 + dict2)
Now, it gives following output.
{1: 'ABC', 2: 'EFG'}
Thus, by adding this method, suddenly magic has happened and the error you were getting earlier, has gone away.
I hope, it makes things clear to you. For more information, refer to:
A Guide to Python's Magic Methods (Rafe Kettler, 2012)
Some of these functions do more than a single method would be able to implement (without abstract methods on a superclass). For instance bool() acts kind of like this:
def bool(obj):
if hasattr(obj, '__nonzero__'):
return bool(obj.__nonzero__())
elif hasattr(obj, '__len__'):
if obj.__len__():
return True
else:
return False
return True
You can also be 100% sure that bool() will always return True or False; if you relied on a method you couldn't be entirely sure what you'd get back.
Some other functions that have relatively complicated implementations (more complicated than the underlying magic methods are likely to be) are iter() and cmp(), and all the attribute methods (getattr, setattr and delattr). Things like int also access magic methods when doing coercion (you can implement __int__), but do double duty as types. len(obj) is actually the one case where I don't believe it's ever different from obj.__len__().
They are not really "magic names". It's just the interface an object has to implement to provide a given service. In this sense, they are not more magic than any predefined interface definition you have to reimplement.
While the reason is mostly historic, there are some peculiarities in Python's len that make the use of a function instead of a method appropriate.
Some operations in Python are implemented as methods, for example list.index and dict.append, while others are implemented as callables and magic methods, for example str and iter and reversed. The two groups differ enough so the different approach is justified:
They are common.
str, int and friends are types. It makes more sense to call the constructor.
The implementation differs from the function call. For example, iter might call __getitem__ if __iter__ isn't available, and supports additional arguments that don't fit in a method call. For the same reason it.next() has been changed to next(it) in recent versions of Python - it makes more sense.
Some of these are close relatives of operators. There's syntax for calling __iter__ and __next__ - it's called the for loop. For consistency, a function is better. And it makes it better for certain optimisations.
Some of the functions are simply way too similar to the rest in some way - repr acts like str does. Having str(x) versus x.repr() would be confusing.
Some of them rarely use the actual implementation method, for example isinstance.
Some of them are actual operators, getattr(x, 'a') is another way of doing x.a and getattr shares many of the aforementioned qualities.
I personally call the first group method-like and the second group operator-like. It's not a very good distinction, but I hope it helps somehow.
Having said this, len doesn't exactly fit in the second group. It's more close to the operations in the first one, with the only difference that it's way more common than almost any of them. But the only thing that it does is calling __len__, and it's very close to L.index. However, there are some differences. For example, __len__ might be called for the implementation of other features, such as bool, if the method was called len you might break bool(x) with custom len method that does completely different thing.
In short, you have a set of very common features that classes might implement that might be accessed through an operator, through a special function (that usually does more than the implementation, as an operator would), during object construction, and all of them share some common traits. All the rest is a method. And len is somewhat of an exception to that rule.
There is not a lot to add to the above two posts, but all the "magic" functions are not really magic at all. They are part of the __ builtins__ module which is implicitly/automatically imported when the interpreter starts. I.e.:
from __builtins__ import *
happens every time before your program starts.
I always thought it would be more correct if Python only did this for the interactive shell, and required scripts to import the various parts from builtins they needed. Also probably different __ main__ handling would be nice in shells vs interactive. Anyway, check out all the functions, and see what it is like without them:
dir (__builtins__)
...
del __builtins__
Perhaps, you have noticed it is possible to use certain built-in methods (ex. len(my_list_or_my_string)), and syntaxes (ex. my_list_or_my_string[:3], my_fancy_dict['some_key']) on some native types such as list, dict. Maybe you have been curious as to why it is not possible (yet) to use these same syntaxes on some of the classes you have written.
Variables of native types (list, dict, int, str) have unique behaviours and respond to certain syntaxes because they have some special methods defined in their respective classes — these methods are called Magic Methods.
A few magic methods include: __len__, __gt__, __eq__, etc.
Read more here: https://tomisin.dev/blog/supercharging-python-classes-with-magic-methods