FR 2012. AFPyro le samedi 15 à 19h 12th Septembre 2012 by Indiquez-nous que vous venez! 26th Août 2012 by La conférence est gratuite et libre d'accès: il n'y a donc pas besoin de s'inscrire. Cependant, afin de nous aider à prévoir les rafraîchissements, indiquez-nous que vous venez sur Lanyrd: L'Agenda est en ligne 22nd Août 2012 by Le planning est en retard 16th Août 2012 by Du au nombre importants de propositions de conférence, nous sommes en retard quant à la publication du programme. L'AFPy propose des bourses pour venir à PyconFR'12 2nd Août 2012 by AFPy propose des bourses pour les étudiants ou les membres actifs de la communauté Python francophone pour venir à PyconFR'12. Vous ne devez pas dépasser les 400 mots dans votre demande. Other people's trees for Python. Python. Python. Python.
Python IDE & Django IDE for Web developers : JetBrains PyCharm. Learn Python The Hard Way | A Beginner Programming Book. Learn Python The Hard Way, 2nd Edition — Learn Python The Hard Way, 2nd Edition. CSC appbio10. CS_Intro_Book. Essential Python Reading List. Here’s my essential Python reading list. I’ve tried to order the items so you can pause or stop reading at any point: at every stage you’ll have learned about as much possible about Python for the effort you’ve put in.
The Zen of Python The Zen of Python is so short I can include it here in its entirety. Typing import this in an interpreted session gives a pythonic spin on “Hello, world”. >>> import this The Zen of Python, by Tim Peters Beautiful is better than ugly. Explicit is better than implicit. Simple is better than complex. If this doesn’t ring true, Python isn’t for you. Python Tutorial Your next stop should be the Python tutorial. Start here And with this tutorial, you’ll be running code right from the start. Since the best way to learn a language is to use it, the tutorial invites you to play with the Python interpreter as you read. A tutorial cannot cover everything, of course, and this one recognises that and points you towards further reading. Python Library Reference What’s New? Green Tea Press: Free Computer Science Books. How to Think Like a Computer Scientist.
Learning with Python by Allen Downey, Jeff Elkner and Chris Meyers. This book is now available for sale at Lulu.com. Hardcopies are no longer available from Green Tea Press. How to Think... is an introduction to programming using Python, one of the best languages for beginners. How to Think... is a Free Book available under the GNU Free Documentation License. Please send suggestions, corrections and comments about the book to feedback{at}thinkpython{dot}com. Download The book is available in a variety of electronic formats: Precompiled copies of the book are available in PDF and Postscript . Translations Here are some translations of the book into other (natural) languages: Spanish translation by Gregorio Inda. Other Free Books by Allen Downey are available from Green Tea Press. If you are using this book and would like to make a contribution to support my work, please consider making a donation toward my web hosting bill by clicking on the icon below.
Think Python: How to Think Like a Computer Scientist. How to Think Like a Computer Scientist by Allen B. Downey This is the first edition of Think Python, which uses Python 2. If you are using Python 3, you might want to use the second edition, which is here. Buy this book at Amazon.com Download Think Python in PDF. Read Think Python in HTML. Example programs and solutions to some problems are here (links to specific examples are in the book). Description Think Python is an introduction to Python programming for beginners. Some examples and exercises are based on Swampy, a Python package written by the author to demonstrate aspects of software design, and to give readers a chance to experiment with simple graphics and animation.
Think Python is a Free Book. If you have comments, corrections or suggestions, please send me email at feedback{at}thinkpython{dot}com. Other Free Books by Allen Downey are available from Green Tea Press. Download Precompiled copies of the book are available in PDF. Earlier Versions Translations and adaptations. Non-Programmer's Tutorial for Python 3.
Authors Contributors to this book Front matter Initial remarks Intro Installing and using Python – where to get help Hello, World The famous first program – screen output – variables – numbers and calculations Who Goes There? Interactive input – strings Count to 10 while loops Decisions if statements Debugging Finding out what goes wrong Defining Functions Structuring programs with the use of functions Advanced Functions Example (Almost) mind-blowing example of how programmers can think Lists Variables containing more than one value For Loops A second kind of loop Boolean Expressions Computer logic – True and False – and and or – not Dictionaries Variables containing key/value pairs Using Modules Extensions to the standard set of functionality More on Lists Using elements or parts of lists Revenge of the Strings More advanced text manipulations File IO Reading from files and writing to files Dealing with the imperfect How to handle errors Recursion Recursive Functions Intro to Object Oriented Programming in Python 3 The End.
Python Programming. Python Programming From Wikibooks, open books for an open world Jump to: navigation, search This book describes Python, an open-source general-purpose interpreted programming language available for a broad range of operating systems. There are currently three major implementations: the standard implementation written in C, Jython written in Java, and IronPython written in C# for the .NET environment. There are two common versions currently in use: 2.x and 3.x.
This book describes primarily version 2, but does at times reference changes in version 3. Contents[edit] Intro[edit] Overview Getting Python Setting it up Interactive mode Self Help Basics[edit] Creating Python programs Variables and Strings Basic syntax Sequences (Strings, Lists, Tuples, Dictionaries, Sets) Data types Numbers Strings Lists Tuples Dictionaries Sets Basic Math -- redundant to "Operators" Operators Control Flow Decision Control Conditional Statements Loops Functions Scoping Input and output Files Text Modules Classes Exceptions Errors Idioms Decorators.
Computer Science @ UC Davis | Course Descriptions. Python. A Byte of Python. A Beginner Programming Book | Learn Python The Hard Way. The Python Tutorial — Python v3.3a0 documentation. Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming.
Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms. The Python interpreter and the extensive standard library are freely available in source or binary form for all major platforms from the Python web site, and may be freely distributed. The same site also contains distributions of and pointers to many free third party Python modules, programs and tools, and additional documentation. The Python interpreter is easily extended with new functions and data types implemented in C or C++ (or other languages callable from C). Python is also suitable as an extension language for customizable applications. The Glossary is also worth going through.