GeezerVison

###// Python tips and tutorials [back to top]

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]
A collection of useful regular expressions [IPython nb]

###// Python and the web [back to top]

###// Algorithms [[back to top](#a-collection-of-useful-scripts-tutorials-and-other-python-related-things)]

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

###// Plotting and Visualization [[back to top](#a-collection-of-useful-scripts-tutorials-and-other-python-related-things)]

###// Benchmarks [[back to top](#a-collection-of-useful-scripts-tutorials-and-other-python-related-things)]

The benchmark category was moved to a separate GitHub repository One-Python-benchmark-per-day

1 - Reversing strings [IPython nb]
2 - Calculating sample means [IPython nb]
3 - 6 different ways to count elements using a dict [IPython nb]
4 - Python vs. Cython vs. Numba [IPython nb]
4.2 - (C)Python compilers - Cython vs. Numba vs. Parakeet [IPython nb]
5 - Comparing 9 ways for flattening lists of sublists [IPython nb]
6 - Determining if a string is a number [IPython nb]
7 - Speeding up NumPy array expressions with Numexpr [IPython nb]
7.2 - Just-in-time compilers for NumPy array expressions [IPython nb]
8 - Calculating square roots and exponents [IPython nb]
9 - The most Pythonic way to check if a string ends with a particular substring [IPython nb]
10 - Cython - Bridging the gap between Python and Fortran [IPython nb]
11 - The deque container data type [IPython nb]
12 - Lightning fast insertion into sorted lists via the bisect module [IPython nb]
13 - Parallel processing via the multiprocessing module [IPython nb]
14 - Python's and NumPy's in-place operator functions [IPython nb]
15 - Array indexing in NumPy: Extracting rows and columns [IPython nb]
16 - Vectorizing a classic for-loop in NumPy [IPython nb]
17 - Stacking NumPy arrays [IPython nb]

###// Other [back to top]

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

###// Useful scripts and snippets [back to top]

IPython magic function %watermark - for printing date- and time-stamps and various system info
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 [back to top]

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.
matplotlib - Python's favorite plotting library
NumPy - a library for multi-dimensional arrays and matrices, along with a large library of high-level mathematical functions to operate on these arrays
SciPy - a library that provides various useful functions for numerical computing, such as modules for optimization, linear algebra, integration, interpolation, ...
pandas - high-performance, easy-to-use data structures and data analysis tools build on top of Numpy
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)
scikit-learn - a powerful machine learning library for Python and tools for efficient data mining and analysis

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