Python

Learning resources

Books. Python In One Easy Lesson. Nick Parlante Nov 2010.

An Introduction to Interactive Programming in Python. 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. Contents[edit] Hands-On Python A Tutorial Introduction for Beginners. Hands-On Python A Tutorial Introduction for Beginners Contents Chapter 1.

The Python Tutorial. 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. The Glossary is also worth going through. Pythonforbeginners.com - Learn Python by Example. A Python Book: Beginning Python, Advanced Python, and Python Exercises. 2.2 Regular Expressions For more help on regular expressions, see: 2.2.1 Defining regular expressions A regular expression pattern is a sequence of characters that will match sequences of characters in a target.

The patterns or regular expressions can be defined as follows: Literal characters must match exactly. Because of the use of backslashes in patterns, you are usually better off defining regular expressions with raw strings, e.g. r"abc". 2.2.2 Compiling regular expressions When a regular expression is to be used more than once, you should consider compiling it. Python Learning Resources. Python. Python. Python. Python programming language.

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BeginnersGuide. New to programming?

Python is free and easy to learn if you know where to start! This guide will help you to get started quickly. Chinese Translation. BeginnersGuide/Overview. Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.

Some of Python's notable features: Uses an elegant syntax, making the programs you write easier to read. BeginnersGuide/NonProgrammers. Python for Non-Programmers If you've never programmed before, the tutorials on this page are recommended for you; they don't assume that you have previous experience.

If you have programming experience, also check out the BeginnersGuide/Programmers page. Books Each of these books can be purchased online but is also available as free textual, website, or video content. Automate the Boring Stuff with Python - Practical Programming for Total Beginners by Al Sweigart is "written for office workers, students, administrators, and anyone who uses a computer to learn how to code small, practical programs to automate tasks on their computer. " Programming for Everybody. Python for Informatics: Exploring Information: Dr. Charles R Severance: 9781492339243: Amazon.com: Books. 10 Resources to Learn Python Programming Language. Learn Python The Hard Way. Learn Python the Hard Way: A Very Simple Introduction to the Terrifyingly Beautiful World of Computers and Code (3rd Edition) (Zed Shaw's Hard Way Series): Zed A. Shaw: 9780321884916: Amazon.com: Books.

Book/ 10 Python pitfalls. (or however many I'll find ;-) These are not necessarily warts or flaws; rather, they are (side effects of) language features that often trip up newbies, and sometimes experienced programmers.

Incomplete understanding of some core Python behavior may cause people to get bitten by these. This document is meant as some sort of guideline to those who are new to Python. It's better to learn about the pitfalls early, than to encounter them in production code shortly before a deadline. :-} It is *not* meant to criticize the language; as said, most of these pitfalls are not due to language flaws. 1. OK, this is a cheesy one to start with. Solution: Indent consistently. 2. People coming from statically typed languages like Pascal and C often assume that Python variables and assignment work the same as in their language of choice. A = b = 3 a = 4 print a, b # 4, 3 However, then they run into trouble when using mutable objects. 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. This will ensure that concatenation occurs in linear time across various implementations.Comparisons to singletons like None should always be done with is or is not, never the equality operators.Also, beware of writing if x when you really mean if x is not None -- e.g. when testing whether a variable or argument that defaults to None was set to some other value.

The other value might have a type (such as a container) that could be false in a boolean context! Google's Python Class - Educational Materials. 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. Beyond that, you do not need to be an expert programmer to use this material. This material was created by Nick Parlante working in the engEDU group at Google.

Python Introduction - Google's Python Class - Google Code. Python is a dynamic, interpreted language. Source code does not declare the types of variables or parameters or methods. This makes the code short and flexible, and you lose the compile-time type checking in the source code. Python tracks the types of all values at runtime and flags code that does not make sense as it runs. Google Python Class Day 1 Part 1.

Google Python Class. Learn Python Programming (codeacademy) Python2orPython3? Python 2.x How to Think Like a Computer Scientist — Learning with Python 2nd Edition. Navigation How to Think Like a Computer Scientist¶ Learning with Python¶ 2nd Edition (Using Python 2.x) by Jeffrey Elkner, Allen B. Downey, and Chris Meyers Last Updated: 21 April 2012 Copyright NoticeForewordPrefaceContributor ListChapter 1 The way of the programChapter 2 Variables, expressions, and statementsChapter 3 FunctionsChapter 4 ConditionalsChapter 5 Fruitful functionsChapter 6 IterationChapter 7 StringsChapter 8 Case Study: CatchChapter 9 ListsChapter 10 Modules and filesChapter 11 Recursion and exceptionsChapter 12 DictionariesChapter 13 Classes and objectsChapter 14 Classes and functionsChapter 15 Classes and methodsChapter 16 Sets of ObjectsChapter 17 InheritanceChapter 18 Linked ListsChapter 19 StacksChapter 20 QueuesChapter 21 TreesAppendix A DebuggingAppendix B GASPAppendix c Configuring Ubuntu for Python DevelopmentAppendix D Customizing and Contributing to the BookGNU Free Document License Search Page © Copyright 2010, Jeffrey Elkner, Allen B.

Non-Programmer's Tutorial for Python 3. Authors Contributors to this book Front matter Initial remarks Intro. Python3 How to Think Like a Computer Scientist — How to Think Like a Computer Scientist: Learning with Python 3. Version date: October 2012 by Peter Wentworth, Jeffrey Elkner, Allen B.

Downey, and Chris Meyers (based on 2nd edition by Jeffrey Elkner, Allen B. Downey, and Chris Meyers) Corresponding author: p.wentworth@ru.ac.za Source repository is at For offline use, download a zip file of the html or a pdf version (the pdf is updated less often) from Search PageCopyright NoticeForewordPrefacePreface-3 This Rhodes Local Edition (RLE) of the bookContributor ListChapter 1 The way of the programChapter 2 Variables, expressions, and statementsChapter 3 Hello, little turtles! Francais. PyLadies – Women Who Love Coding in Python.

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Python beginner's mistakes.