###// Python tips and tutorials

A collection of not so obvious Python stuff you should know! [IPython nb]
Python's scope resolution for variable names and the LEGB rule [IPython nb]
Key differences between Python 2.x and Python 3.x [IPython nb]
A thorough guide to SQLite database operations in Python [Markdown]
Unit testing in Python - Why we want to make it a habit [Markdown]
Installing Scientific Packages for Python3 on MacOS 10.9 Mavericks [Markdown]
Sorting CSV files using the Python csv module [IPython nb]
Using Cython with and without IPython magic [IPython nb]
Parallel processing via the multiprocessing module [IPython nb]
Entry point: Data - using sci-packages to prepare data for Machine Learning tasks and other data analyses [IPython nb]
Awesome things that you can do in IPython Notebooks (in progress) [IPython nb]

###// Python and the web

###// Algorithms

The algorithms category was moved to a separate GitHub repository rasbt/algorithms_in_ipython_notebooks

###// Benchmarks

For more recent benchmarks, please also see my separate
GitHub repository One-Python-benchmark-per-day

###// Other

Happy Mother's Day [IPython nb]
Numeric matrix manipulation - The cheat sheet for MATLAB, Python NumPy, R, and Julia [Markdown]

###// Useful scripts and snippets

IPython magic function %date - for printing date stamps and/or the current Python/IPython version
Shell script for prepending Python-shebangs to .py files.
convert 'tab-delimited' to 'comma-separated' CSV files [IPython nb]
A random string generator function

###// Links

PyPI - the Python Package Index - the official repository for all open source Python modules and packages
PEP 8 - The official style guide for Python code

// News

Python subreddit - my favorite resource to catch up with Python news and great Python-related articles
Python community on Google+ - a nice and friendly community to share and discuss everything about Python
Python Weekly - A free weekly newsletter featuring curated news, articles, new releases, jobs etc. related to Python

// Resources for learning Python

Learn Python The Hard Way - one of the most popular and recommended resources for learning Python
Dive Into Python / Dive Into Python 3 - a free Python book for experienced programmers
The Hitchhiker’s Guide to Python - a free best-practice handbook for both novices and experts
Think Python - How to Think Like a Computer Scientist - an introduction for beginners starting with basic concepts of programming

// My favorite Python projects and packages

The IPython Notebook - an interactive computational environment for combining code execution, documentation (with Markdown and LateX support), inline plots, and rich media all in one document.
SciPy Stack - Python packages (NumPy, pandas, SciPy, IPython, Matplotlib) for scientific computing
Cython - C-extensions for Python, an optimizing static compiler to combine Python and C code
Numba - an just-in-time specializing compiler which compiles annotated Python and NumPy code to LLVM (through decorators)

ilovejs/python_reference

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