Python (langage)
Un article de Wikipédia, l'encyclopédie libre. Pour les articles homonymes, voir Python. Il est également apprécié par les pédagogues qui y trouvent un langage où la syntaxe, clairement séparée des mécanismes de bas niveau, permet une initiation aisée aux concepts de base de la programmation[3]. Python est un langage qui peut s'utiliser dans de nombreux contextes et s'adapter à tout type d'utilisation grâce à des bibliothèques spécialisées. Il est cependant particulièrement utilisé comme langage de script pour automatiser des tâches simples mais fastidieuses comme un script qui récupérerait la météo sur Internet ou qui s'intégrerait dans un logiciel de conception assistée par ordinateur afin d'automatiser certains enchaînements d'actions répétitives. Depuis 2013, il est enseigné à tous les étudiants de classes préparatoires scientifiques dans le cadre du tronc commun (informatique pour tous). Guido van Rossum, créateur de Python, à la OSCON 2006. Andrew M. la liste des nombres pairs :
A byte of Python - Table des Matières
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
Think Python: How to Think Like a Computer Scientist
The Python Tutorial — Python v2.6.5 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). This tutorial introduces the reader informally to the basic concepts and features of the Python language and system.
Python SQL Database Access System | Get Python SQL Database Acce
PEP Index> PEP 249 -- Python Database API Specification v2.0 This API has been defined to encourage similarity between the Python modules that are used to access databases. By doing this, we hope to achieve a consistency leading to more easily understood modules, code that is generally more portable across databases, and a broader reach of database connectivity from Python. Comments and questions about this specification may be directed to the SIG for Database Interfacing with Python. For more information on database interfacing with Python and available packages see the Database Topic Guide. This document describes the Python Database API Specification 2.0 and a set of common optional extensions. Constructors Access to the database is made available through connection objects. connect( parameters... ) Constructor for creating a connection to the database. Returns a Connection Object. Globals These module globals must be defined: apilevel String constant stating the supported DB API level. Error
PEP 249 -- Python Database API Specification v2.0
Welcome to Google's Python Class -- this is a free class for people with a little bit of programming experience who want to learn Python. The class includes written materials, lecture videos, and lots of code exercises to practice Python coding. These materials are used within Google to introduce Python to people who have just a little programming experience. The first exercises work on basic Python concepts like strings and lists, building up to the later exercises which are full programs dealing with text files, processes, and http connections. The class is geared for people who have a little bit of programming experience in some language, enough to know what a "variable" or "if statement" is. To get started, the Python sections are linked at the left -- Python Set Up to get Python installed on your machine, Python Introduction for an introduction to the language, and then Python Strings starts the coding material, leading to the first exercise.
s Python Class - Google's Python Class - Google Code
The Python Standard Library — Python v2.7 documentation
This document is for an old version of Python that is no longer supported. You should upgrade and read the Python documentation for the current stable release. Navigation The Python Standard Library¶ While The Python Language Reference describes the exact syntax and semantics of the Python language, this library reference manual describes the standard library that is distributed with Python. Python’s standard library is very extensive, offering a wide range of facilities as indicated by the long table of contents listed below. The Python installers for the Windows platform usually include the entire standard library and often also include many additional components. In addition to the standard library, there is a growing collection of several thousand components (from individual programs and modules to packages and entire application development frameworks), available from the Python Package Index. Previous topic 9. Next topic 1. This Page Show Source Quick search
PyOpenGL -- The Python OpenGL Binding
The Python Tutorial — Python v2.7.1 documentation
The Python Standard Library — Python v2.7.1 documentation
This document is for an old version of Python that is no longer supported. You should upgrade and read the Python documentation for the current stable release. Navigation The Python Standard Library¶ While The Python Language Reference describes the exact syntax and semantics of the Python language, this library reference manual describes the standard library that is distributed with Python. Python’s standard library is very extensive, offering a wide range of facilities as indicated by the long table of contents listed below. The Python installers for the Windows platform usually include the entire standard library and often also include many additional components. In addition to the standard library, there is a growing collection of several thousand components (from individual programs and modules to packages and entire application development frameworks), available from the Python Package Index. Previous topic 9. Next topic 1. This Page Show Source Quick search
PEP 8 -- Style Guide for Python Code
Code should be written in a way that does not disadvantage other implementations of Python (PyPy, Jython, IronPython, Cython, Psyco, and such).For example, do not rely on CPython's efficient implementation of in-place string concatenation for statements in the form a += b or a = a + b. This optimization is fragile even in CPython (it only works for some types) and isn't present at all in implementations that don't use refcounting. In performance sensitive parts of the library, the ''.join() form should be used instead.
Язык программирования Python
Online Python Tutor
Write your Python code here: x = [1, 2, 3] y = [4, 5, 6] z = y y = x x = z x = [1, 2, 3] # a different [1, 2, 3] list! x.append(4) y.append(5) z = [1, 2, 3, 4, 5] # a different list! x.append(6) y.append(7) y = "hello" def foo(lst): lst.append("hello") bar(lst) def bar(myLst): print(myLst) foo(x) foo(z) [Optional] Please answer these questions to support our research and to help improve this tool. Options: Execute code using , , , , , and . Here are some example Python code snippets to visualize: Basic: hello | happy | intro | filter | tokenize | insertion sort Math: factorial | fibonacci | memoized fibonacci | square root | gcd | towers of hanoi User Input: raw input Objects: OOP 1 | OOP 2 | OOP 3 | inheritance Linked Lists: LL 1 | LL 2 | LL sum Pointer Aliasing:aliasing 1 | aliasing 2 | aliasing 3 | aliasing 4aliasing 5 | aliasing 6 | aliasing 7 | aliasing 8 | sumList Higher-Order Functions: closure 1 | closure 2 | closure 3 | closure 4 | closure 5list map | summation | lambda param | student torture
Учебник Python 2.6
Описание[править] Python — мощный и простой для изучения язык программирования. Он позволяет использовать эффективные высокоуровневые структуры данных и предлагает простой, но эффективный подход к объектно-ориентированному программированию. Сочетание изящного синтаксиса, динамической типизации в интерпретируемом языке делает Python идеальным языком для написания сценариев и ускоренной разработки приложений в различных сферах и на большинстве платформ. Интерпретатор Python и разрастающаяся стандартная библиотека находятся в свободном доступе в виде исходников и двоичных файлов для всех основных платформ на официальном сайте Python и могут распространяться без ограничений. Интерпретатор Python может быть легко расширен с помощью новых функций и типов данных, написанных на C/C++ (или других языках, к которым можно получить доступ из C). Этот учебник в свободной форме излагает основные концепции и возможности языка и системы Python. Разжигаем аппетит[править] python #!
Portable Python
News - pygame - python game development
Программирование на Python Иван ОреховОпубликовано 19.01.2010 Стоит ли изучать Python? Python – это один из наиболее популярных современных языков программирования. Многие программисты считают, что необходимо изучать только «классические» языки программирования, такие как Java или C++, так как другие языки все равно не смогут обеспечить таких же возможностей. Изучить в совершенстве два таких языка как Java и C++ достаточно сложно и заняло бы много времени; кроме того, многие аспекты этих языков противоречат друг другу. Если же программист только начинает свой путь в области разработки ПО, то Python станет идеальным «вводным» языком программирования. Поэтому кем бы ни являлся читатель данной статьи – опытным программистом или новичком в области разработки ПО, ответом на вопрос, который является и названием этого раздела, должно стать убедительное «да». Архитектура Python Любой язык, неважно – для программирования или общения, состоит как минимум из двух частей – словаря и синтаксиса. PATH.
Программирование на Python: Часть 1. Возможности языка и основы синтаксиса
Let’s try some simple Python commands. Start the interpreter and wait for the primary prompt, >>>. (It shouldn’t take long.) 3.1.1. Numbers The interpreter acts as a simple calculator: you can type an expression at it and it will write the value. >>> 2 + 24>>> 50 - 5*620>>> (50 - 5*6) / 45.0>>> 8 / 5 # division always returns a floating point number1.6 The integer numbers (e.g. 2, 4, 20) have type int, the ones with a fractional part (e.g. 5.0, 1.6) have type float. Division (/) always returns a float. >>> 17 / 3 # classic division returns a float5.666666666666667>>>>>> 17 // 3 # floor division discards the fractional part5>>> 17 % 3 # the % operator returns the remainder of the division2>>> 5 * 3 + 2 # result * divisor + remainder17 With Python, it is possible to use the ** operator to calculate powers : >>> 5 ** 2 # 5 squared25>>> 2 ** 7 # 2 to the power of 7128 The equal sign (=) is used to assign a value to a variable. >>> width = 20>>> height = 5 * 9>>> width * height900 3.1.2. 3.1.3.
3. An Informal Introduction to Python — Python v3.2.2 documentation
Python Development with PyDev and Eclipse - Tutorial Copyright © 2009, 2010, 2011, 2012, 2013 vogella GmbH Python, Pydev and Eclipse This article describes how to write and debug Python programs with Eclipse This article is based on Eclipse 4.3, Python 3.3.1 and PyDev version 2.7.3. Python is an interpreted programming language and claims to be a very effective programming language. The name Python is based on the TV show called Monty Python's Flying Circus. Key features of Python are: high-level data types, as for example extensible lists statement grouping is done by indentation instead of brackets variable or argument declaration is not necessary supports for object-orientated, procedural and functional programming style 1.2. Python identify blocks of code by indentation. This tutorial will first explain how to install Python and the Python plugins for Eclipse. Download Python from 2.2. The following assume that you have already Eclipse installed. 2.3. Warning
Python Development with PyDev and Eclipse
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. 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 Source Documentation and Comments Idioms Advanced[edit] Decorators Context Managers Reflection Metaclasses Email Qt4
Python Programming
Every Python programmer had to learn the language at one time, and started out as a beginner. Beginners make mistakes. This article highlights a few common mistakes, including some I made myself. Beginner's mistakes are not Python's fault, nor the beginner's. They're merely a result of misunderstanding the language. To put it another way, the mistakes in this article are often cases of "the wrong tool for the job", rather than coding errors or sneaky language traps. Mistake 1: trying to do low-level operations Python is sometimes described as a VHLL, a Very High-Level Language. This doesn't mean that it isn't possible to do these things with Python; but it's probably just not the right language for these jobs. Mistake 2: writing "language X" code in Python This is a mistake that is almost unavoidable. Some notorious symptoms of "language X" code, and the languages that may cause them: The point here is not to slam the language that you're used to (although that is always fun ;-).
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