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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. 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!
Learn Python - Free Interactive Python Tutorial
Python Software Foundation News
PEP 20 -- The Zen of Python
Abstract Long time Pythoneer Tim Peters succinctly channels the BDFL's guiding principles for Python's design into 20 aphorisms, only 19 of which have been written down. The Zen of Python Beautiful is better than ugly. Easter Egg >>> import this Copyright This document has been placed in the public domain.
Dive Into Python
Planet Python
Software Carpentry
The Problem Many scientists and engineers spend much of their lives writing, debugging, and maintaining software, but only a handful have ever been taught how to do this effectively: after a couple of introductory courses, they are left to rediscover (or reinvent) the rest of programming on their own. The result? Most spend far too much time wrestling with software when they'd rather be doing research, but still have no idea how reliable or efficient that software is. The Solution This site presents an intensive course on basic software development practices for scientists and engineers.
web2py
I believe that the ability to easily build high quality web applications is of critical importance for the growth of a free and open society. This prevents the biggest players from monopolizing the flow of information. Hence I started the web2py project in 2007, primarily as a teaching tool with the goal of making web development easier, faster, and more secure. Over time, it has managed to win the affection of thousands of knowledgeable users and hundreds of developers. As a result, in 2011, web2py won the Bossie Award for best Open Source Development Software, and in 2012 it won the Technology of the Year award from InfoWorld. As you will learn in the following pages, web2py tries to lower the barrier of entry to web development by focusing on three main goals: Ease of use. Rapid development. Security. web2py is built from the user perspective and is constantly being optimized internally to become faster and leaner, whilst always maintaining backwards compatibility.
labs :: Python beginner's mistakes
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. 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 ;-). This one requires some clarification. Some advice
Python Programming in your Browser: PythonAnywhere
