I'm new to python. I have learnt the basics from learnpythonthehardway.org/book and now I'm unable to understand the codes and libraries method of my favorite projects on github.
What should I do now in step by step manner so that I become capable enough to contribute and hence take part in GSoC no matter how much time it takes?
Some says I should practise python questions on hackerrank and other says I should work on my own project and learn from it. Which should I follow?
If you are just trying to learn Python I know YouTube has a lot of fantastic resources. Since you've already read Learn Python the Hard Way, I would suggest you look for YouTube videos where the host is creating a project (Look for something which interests you), and follow along until you come across something you don't know. Research it, rinse and repeat. As a bonus, you'll end up with some neat Python projects in the end, too.
Another great way to get some Python experience is to find different sources of tutorials. I learned Python from Codecademy, but there are plenty out there.
However, all said, there is simply nothing like figuring things out yourself. Set a goal - think of a project to create - and get as far as you can, and look for as many opportunities to learn as possible. That's my favorite way to learn.
Good luck! :)
As mentioned by #Dylan, YouTube hosts a lot of Python tutorials which are helpful for learning more about Python.
Additionally, I would invest your time in reading some eBooks. They have a wealth of knowledge that can expand your horizons beyond learning the basics of Python and personally I found it to be a huge help in understanding the language. Read these and take some good notes.
Python Cookbook (Second or Third Edition) by David Beazley
Automate
the Boring Stuff With Python by Al Sweigart
A Byte of Python by
Swaroop C.H.
Test-Driven Development with Python by Henry Percival
Real Python for the Web by Michael Herman
Good luck and happy coding!
I use C/C++ language to develop monitor and control software for hardware device for many years. Recently I started to learn Python for some reasons, so I also wondering which way is the best way to study a new language. My learning materials are two books, Learning Python and Programming Python. I think the language's foundational concepts are really important. As my experience in C/C++, the most frequent book I use in my work is the first one I studied in University, as that book focused on the foundational concepts. So I think the most important thing is understanding the foundational concepts,and the best way is typing it and test it by your hand, not only seeing the example.
I'm tired of books and tutorials who walk me through how to print things before I can do anything fun. I want to build simple apps or programs. Any suggestions for where to start so I can make and learn at the same time?
If you're just looking for something to do that will challenge you to start actually using Python rather than reading about it, try the Ruby Quiz. You don't have to use Ruby to create solutions.
Each quiz is a problem that can be scripted (using any language, really). Ideally it'll force you to apply the concepts you've been reading about to "real life" problems.
If you are tired of tutorials, then just start building something. Anything. If you get stuck, glance back over the tutorials, or consult the documentation. I'm a big fan of learning by doing.
A short list of options from off the top of my head:
If you're into web development, Django is a popular python web framework that is very well documented. The Blog app is a popular starting point.
Python itself is pretty well documented. If you're a complete beginner to python AND programming in general, you may want to try something less complex. Pick a random task and try to do it using python:
Read and print the ID3 tags from all your mp3 files using mutagen.
List or download your email using the python imaplib or poplib modules.
Write a zip/unzip utility using zipfile.
Don't be in too much of a hurry, and be realistic. Unless you've got a pile of programming under your belt, you won't be able to jump into a complex project after reading a few tutorials. Patience and practice will get you to the place where you can tackle really interesting projects. Impatience will merely lead to frustration.
Might i suggest pygame http://www.pygame.org/news.html ? If you want to do things with visuals, your not going to get anywhere with the default python modules unless, of course you know how to implement SDL. As stated above in the comments, the tutorials are there for a reason; although they are simple, they are meant to teach you the basics and perhaps, have you think about ideas of implementing such given tools to larger projects. Give pygame I try. You can create a window with lines and shapes in a little as ~10 lines. From there you can expand your knowledge to Object-Oriented programming(which a must for UI) and be on your way to larger projects such as AI, graphics, etc.
P.S. Check this book out http://apress.com/book/view/1590598725. Although you might not want to get into game development, it will teach you some rather useful techniques which may help your research in application development.
Well, I have read several user guides and watched dozens and dozens of video tutorials on how to program with Python, and feel pretty confident about writing simple applications for it. My main point in my question is, where would I be able to learn more advanced programming knowledge about Python?
How simple of applications are you making? Have you gone through the exercises in Google's Python Class? I highly recommend going through those. If you really know what you are doing, you should breeze through them. If not, then you'll be learning some valuable skills and becoming a little more experienced in Python.
After that, it depends on what your end goals are with Python. If you don't have any goals then you should work on setting some goals and making some small applications to develop your skills in the areas that go well with those goals.
Also, a good way to learn more about Python is to try to answer the questions posted on here about Python. Even if you don't find the best answer, reading other people's answers will help you as well as the process of trying to find the answer.
You could try something like Python Cookbook or Python Challenge.
But your question is a little too vague. Why did you learn Python? What kind of problems are you looking at solving? Based on the answer to that, I can direct you to various modules like os, sys, Tkinter, etc
You have given yourself an answer:
and feel pretty confident about
writing simple applications for it
go ahead and write more complex applications!
The issue here is that you do not feel challenged, and you assume that you are done with your basic learning. Just find what to do! Simplify a process (say, file management), retrieve data from Internet (say, the last 25 twitter posts about Python), consolidate your mail clients into a single command line application, etc.
The MOST productive thing you could do (assuming you really don't have problems of your own), is to find an open source Python project (say, Matplotlib) and become a contributor. You will quickly realize that Python is beautiful, but it is a beast nevertheless.
If you still feel unchallenged, contact me and I will send you a ton of stuff to code which, believe me, is not easy.
Good luck!
my favorite way in learning python is ( learning through projects ).
put yourself a goal , like a software for example ( 6 years ago when i started to learn python i picked a messenger . so i had to read more about sockets, network programming , and interfaces libraries ) . start with it , look for examples and resources to learn more . then do it.
the key is NOT TO GIVE UP and keep trying and searching until you make it .
. this can be fastest and the most efficient way in learning any programming language .
good luck ;)
If you like puzzles, you might check out Project Euler. It has a variety of interesting puzzles (some easy, some much harder) that take some logic and programming to solve. (Often you have to find a clever way to solve them, since brute-force methods will take forever.)
If you're at all interested in web development you might look into Django. It's a very nice web framework that lets you use Python; it's mature and quite powerful.
I also second Arrieta's suggestion of finding an open-source Python project and looking into getting involved. You can find a list of such projects on GitHub, freshmeat, and SourceForge, among others.
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I've been learning, working, and playing with Python for a year and a half now. As a biologist slowly making the turn to bio-informatics, this language has been at the very core of all the major contributions I have made in the lab. I more or less fell in love with the way Python permits me to express beautiful solutions and also with the semantics of the language that allows such a natural flow from thoughts to workable code.
What I would like to know is your answer to a kind of question I have seldom seen in this or other forums. This question seems central to me for anyone on the path to Python improvement but who wonders what his next steps should be.
Let me sum up what I do NOT want to ask first ;)
I don't want to know how to QUICKLY learn Python
Nor do I want to find out the best way to get acquainted with the language
Finally, I don't want to know a 'one trick that does it all' approach.
What I do want to know your opinion about, is:
What are the steps YOU would recommend to a Python journeyman, from apprenticeship to guru status (feel free to stop wherever your expertise dictates it), in order that one IMPROVES CONSTANTLY, becoming a better and better Python coder, one step at a time. Some of the people on SO almost seem worthy of worship for their Python prowess, please enlighten us :)
The kind of answers I would enjoy (but feel free to surprise the readership :P ), is formatted more or less like this:
Read this (eg: python tutorial), pay attention to that kind of details
Code for so manytime/problems/lines of code
Then, read this (eg: this or that book), but this time, pay attention to this
Tackle a few real-life problems
Then, proceed to reading Y.
Be sure to grasp these concepts
Code for X time
Come back to such and such basics or move further to...
(you get the point :)
I really care about knowing your opinion on what exactly one should pay attention to, at various stages, in order to progress CONSTANTLY (with due efforts, of course). If you come from a specific field of expertise, discuss the path you see as appropriate in this field.
EDIT: Thanks to your great input, I'm back on the Python improvement track! I really appreciate!
I thought the process of Python mastery went something like:
Discover list comprehensions
Discover generators
Incorporate map, reduce, filter, iter, range, xrange often into your code
Discover Decorators
Write recursive functions, a lot
Discover itertools and functools
Read Real World Haskell (read free online)
Rewrite all your old Python code with tons of higher order functions, recursion, and whatnot.
Annoy your cubicle mates every time they present you with a Python class. Claim it could be "better" implemented as a dictionary plus some functions. Embrace functional programming.
Rediscover the Strategy pattern and then all those things from imperative code you tried so hard to forget after Haskell.
Find a balance.
One good way to further your Python knowledge is to dig into the source code of the libraries, platforms, and frameworks you use already.
For example if you're building a site on Django, many questions that might stump you can be answered by looking at how Django implements the feature in question.
This way you'll continue to pick up new idioms, coding styles, and Python tricks. (Some will be good and some will be bad.)
And when you see something Pythony that you don't understand in the source, hop over to the #python IRC channel and you'll find plenty of "language lawyers" happy to explain.
An accumulation of these little clarifications over years leads to a much deeper understanding of the language and all of its ins and outs.
Understand (more deeply) Python's data types and their roles with regards to memory mgmt
As some of you in the community are aware, I teach Python courses, the most popular ones being the comprehensive Intro+Intermediate course as well as an "advanced" course which introduces a variety of areas of application development.
Quite often, I get asked a question quite similar to, "Should I take your intro or advanced course? I've already been programming Python for 1-2 years, and I think the intro one is too simple for me so I'd like to jump straight to the advanced... which course would you recommend?"
To answer their question, I probe to see how strong they are in this area -- not that it's really the best way to measure whether they're ready for any advanced course, but to see how well their basic knowledge is of Python's objects and memory model, which is a cause of many Python bugs written by those who are not only beginners but those who have gone beyond that.
To do this, I point them at this simple 2-part quiz question:
Many times, they are able to get the output, but the why is more difficult and much more important of an response... I would weigh the output as 20% of the answer while the "why" gets 80% credit. If they can't get the why, regardless how Python experience they have, I will always steer people to the comprehensive intro+intermediate course because I spend one lecture on objects and memory management to the point where you should be able to answer with the output and the why with sufficient confidence. (Just because you know Python's syntax after 1-2 years doesn't make you ready to move beyond a "beginner" label until you have a much better understanding as far as how Python works under the covers.)
A succeeding inquiry requiring a similar answer is even tougher, e.g.,
Example 3
x = ['foo', [1,2,3], 10.4]
y = list(x) # or x[:]
y[0] = 'fooooooo'
y[1][0] = 4
print x
print y
The next topics I recommend are to understanding reference counting well, learning what "interning" means (but not necessarily using it), learning about shallow and deep copies (as in Example 3 above), and finally, the interrelationships between the various types and constructs in the language, i.e. lists vs. tuples, dicts vs. sets, list comprehensions vs. generator expressions, iterators vs. generators, etc.; however all those other suggestions are another post for another time. Hope this helps in the meantime! :-)
ps. I agree with the other responses for getting more intimate with introspection as well as studying other projects' source code and add a strong "+1" to both suggestions!
pps. Great question BTW. I wish I was smart enough in the beginning to have asked something like this, but that was a long time ago, and now I'm trying to help others with my many years of full-time Python programming!!
Check out Peter Norvig's essay on becoming a master programmer in 10 years: http://norvig.com/21-days.html. I'd wager it holds true for any language.
Understand Introspection
write a dir() equivalent
write a type() equivalent
figure out how to "monkey-patch"
use the dis module to see how various language constructs work
Doing these things will
give you some good theoretical knowledge about how python is implemented
give you some good practical experience in lower-level programming
give you a good intuitive feel for python data structures
def apprentice():
read(diveintopython)
experiment(interpreter)
read(python_tutorial)
experiment(interpreter, modules/files)
watch(pycon)
def master():
refer(python-essential-reference)
refer(PEPs/language reference)
experiment()
read(good_python_code) # Eg. twisted, other libraries
write(basic_library) # reinvent wheel and compare to existing wheels
if have_interesting_ideas:
give_talk(pycon)
def guru():
pass # Not qualified to comment. Fix the GIL perhaps?
I'll give you the simplest and most effective piece of advice I think anybody could give you: code.
You can only be better at using a language (which implies understanding it) by coding. You have to actively enjoy coding, be inspired, ask questions, and find answers by yourself.
Got a an hour to spare? Write code that will reverse a string, and find out the most optimum solution. A free evening? Why not try some web-scraping. Read other peoples code. See how they do things. Ask yourself what you would do.
When I'm bored at my computer, I open my IDE and code-storm. I jot down ideas that sound interesting, and challenging. An URL shortener? Sure, I can do that. Oh, I learnt how to convert numbers from one base to another as a side effect!
This is valid whatever your skill level. You never stop learning. By actively coding in your spare time you will, with little additional effort, come to understand the language, and ultimately, become a guru. You will build up knowledge and reusable code and memorise idioms.
If you're in and using python for science (which it seems you are) part of that will be learning and understanding scientific libraries, for me these would be
numpy
scipy
matplotlib
mayavi/mlab
chaco
Cython
knowing how to use the right libraries and vectorize your code is essential for scientific computing.
I wanted to add that, handling large numeric datasets in common pythonic ways(object oriented approaches, lists, iterators) can be extremely inefficient. In scientific computing, it can be necessary to structure your code in ways that differ drastically from how most conventional python coders approach data.
Google just recently released an online Python class ("class" as in "a course of study").
http://code.google.com/edu/languages/google-python-class/
I know this doesn't answer your full question, but I think it's a great place to start!
Download Twisted and look at the source code. They employ some pretty advanced techniques.
Thoroughly Understand All Data Types and Structures
For every type and structure, write a series of demo programs that exercise every aspect of the type or data structure. If you do this, it might be worthwhile to blog notes on each one... it might be useful to lots of people!
I learned python first by myself over a summer just by doing the tutorial on the python site (sadly, I don't seem to be able to find that anymore, so I can't post a link).
Later, python was taught to me in one of my first year courses at university. In the summer that followed, I practiced with PythonChallenge and with problems from Google Code Jam.
Solving these problems help from an algorithmic perspective as well as from the perspective of learning what Python can do as well as how to manipulate it to get the fullest out of python.
For similar reasons, I have heard that code golf works as well, but i have never tried it for myself.
Learning algorithms/maths/file IO/Pythonic optimisation
This won't get you guru-hood but to start out, try working through the Project Euler problems
The first 50 or so shouldn't tax you if you have decent high-school mathematics and know how to Google. When you solve one you get into the forum where you can look through other people's solutions which will teach you even more. Be decent though and don't post up your solutions as the idea is to encourage people to work it out for themselves.
Forcing yourself to work in Python will be unforgiving if you use brute-force algorithms.
This will teach you how to lay out large datasets in memory and access them efficiently with the fast language features such as dictionaries.
From doing this myself I learnt:
File IO
Algorithms and techniques such as Dynamic Programming
Python data layout
Dictionaries/hashmaps
Lists
Tuples
Various combinations thereof, e.g. dictionaries to lists of tuples
Generators
Recursive functions
Developing Python libraries
Filesystem layout
Reloading them during an interpreter session
And also very importantly
When to give up and use C or C++!
All of this should be relevant to Bioinformatics
Admittedly I didn't learn about the OOP features of Python from that experience.
Have you seen the book "Bioinformatics Programming using Python"? Looks like you're an exact member of its focus group.
You already have a lot of reading material, but if you can handle more, I recommend you
learn about the evolution of python by reading the Python Enhancement Proposals, especially the "Finished" PEPs and the "Deferred, Abandoned, Withdrawn, and Rejected" PEPs.
By seeing how the language has changed, the decisions that were made and their rationales, you will absorb the philosophy of Python and understand how "idiomatic Python" comes about.
http://www.python.org/dev/peps/
Attempt http://challenge.greplin.com/ using Python
Teaching to someone else who is starting to learn Python is always a great way to get your ideas clear and sometimes, I usually get a lot of neat questions from students that have me to re-think conceptual things about Python.
Not precisely what you're asking for, but I think it's good advice.
Learn another language, doesn't matter too much which. Each language has it's own ideas and conventions that you can learn from. Learn about the differences in the languages and more importantly why they're different. Try a purely functional language like Haskell and see some of the benefits (and challenges) of functions free of side-effects. See how you can apply some of the things you learn from other languages to Python.
I recommend starting with something that forces you to explore the expressive power of the syntax. Python allows many different ways of writing the same functionality, but there is often a single most elegant and fastest approach. If you're used to the idioms of other languages, you might never otherwise find or accept these better ways. I spent a weekend trudging through the first 20 or so Project Euler problems and made a simple webapp with Django on Google App Engine. This will only take you from apprentice to novice, maybe, but you can then continue to making somewhat more advanced webapps and solve more advanced Project Euler problems. After a few months I went back and solved the first 20 PE problems from scratch in an hour instead of a weekend.
I'm a pretty inexperienced programmer (can make tk apps, text processing, sort of understand oop), but Python is so awesome that I would like to help the community. What's the best way for a beginner to contribute?
Add to the docs. it is downright crappy
Help out other users on the dev and user mailing lists.
TEST PYTHON. bugs in programming languages are real bad. And I have seen someone discover atleast 1 bug in python
Frequent the #python channel on irc.freenode.net
Build something cool in Python and share it with others. Small values of cool are still cool. Not everyone gets to write epic, world-changing software.
Every problem solved well using Python is a way of showing how cool Python is.
I guess one way would be to help with documentation (translation, updating), until you are aware enough about the language. Also following the devs and users mail groups would give you a pretty good idea of what is being done and needs to be done by the community.
I see two ways of going about it: working on Python directly or working on something that utilizes Python
Since you're a beginner, you're probably hesitant to work on the core Python language or feel that you can't contribute in a meaningful way, which is understandable. However, as a beginner, you're in a good position to help improve documentation and other items that are essential to learning Python.
For example, the Python tutorial is less of a tutorial (in the standard sense) and more of a feature listing, at least in my opinion. When I tried to learn from it, I never got the feeling that I was building up my knowledge, like creating an application. It felt more like I was being shown all the parts that make up Python but not how to put them together into a cohesive structure.
Once I became more comfortable with the language (mostly through books and lots of practice), I eventually wrote my own tutorial, trying to provide not only the technical information but also lessons learned and "newbie gotchas".
Alternatively, you can contribute to the Python world by using Python in programs. You can contribute to projects already established, e.g. Django, PyGame, etc., or you can make your own program to "scratch an itch". Either way, you not only build your knowledge of Python but you are giving back to the community.
Finally, you can become an advocate of Python, encouraging others to learn the language. I kept suggesting to my supervisor at my last job to use Python rather than Java when a considering what to use for a new project. I tell everyone I know about the joys of Python and encourage them to give it a try. I convinced the administrator of a computer forum I frequent to create a section for Python. And, as I already said, I wrote a tutorial for Python and I'm working on a new one for wxPython.
There are many ways you can contribute to Python that aren't necessarily programming related. As your programming skills grow, you may want to move further into code contributions. But you may gain more satisfaction by helping others find the same joy you found in Python.
If you aren't up to actually working on the Python core, there are still many ways to contribute.. 2 that immediately come to mind is:
work on documentation.. it can ALWAYS be improved. Take your favorite modules and check out the documentation and add where you can.
Reporting descriptive bugs is very helpful to the development process.
Get involved with the community: http://www.python.org/dev/
Start by contributing to a Python project that you use and enjoy. This can be as simple as answering questions on the mailing list or IRC channel, offering to help with documentation and test writing or fixing bugs.