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Hackasaurus Look ahead Learn all about Firefox OS » Welcome to Webmaker! That username is taken You must choose a username Invalid username. Becoming a Pythonista — Platipy 0.2 documentation This chapter is will provide a very brief review of some important python concepts which will be useful and necessary. The basic concepts will be for those who are unfamiliar with Python, but a good refresher for those who don’t write in Python every day. Intermediate concepts will be great for programmers of all levels to refresh on some Python idioms. The code below will focus on Python 2.5+, since that is the version on most XO laptops. 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.

swfk-es - Snake Wrangling for Kids (Edición en Español) "Snake Wrangling for Kids" es un libro electrónico para niños de 8 o más años que quieran aprender a programar. Cubre lo básico de la programación utilizando el lenguaje de programación Python 3 como base para aprender los conceptos. La versión original en inglés ha sido escrita por Jason R. Briggs y puede accederse en swfk. Code Like a Pythonista: Idiomatic Python In this interactive tutorial, we'll cover many essential Python idioms and techniques in depth, adding immediately useful tools to your belt. There are 3 versions of this presentation: ©2006-2008, licensed under a Creative Commons Attribution/Share-Alike (BY-SA) license. My credentials: I am a resident of Montreal,father of two great kids, husband of one special woman,a full-time Python programmer,author of the Docutils project and reStructuredText,an editor of the Python Enhancement Proposals (or PEPs),an organizer of PyCon 2007, and chair of PyCon 2008,a member of the Python Software Foundation,a Director of the Foundation for the past year, and its Secretary. In the tutorial I presented at PyCon 2006 (called Text & Data Processing), I was surprised at the reaction to some techniques I used that I had thought were common knowledge.

The Python Tutorial — Python v2.7.5 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 Nature of Code Code Style If you ask Python programmers what they like most in Python, they will often say its high readability. Indeed, a high level of readability is at the heart of the design of the Python language, following the recognized fact that code is read much more often than it is written. One reason for Python code to be easily read and understood is its relatively complete set of Code Style guidelines and “Pythonic” idioms. Moreover, when a veteran Python developer (a Pythonista) points to portions of code and says they are not “Pythonic”, it usually means that these lines of code do not follow the common guidelines and fail to express the intent in what is considered the best (hear: most readable) way. On some border cases, no best way has been agreed upon on how to express an intent in Python code, but these cases are rare. General concepts

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