A collection of useful scripts, tutorials, and other Python-related things // Python tips and tutorials // Python and the web // Algorithms // Plotting and Visualization // Benchmarks // Python and "Data Science" // Useful scripts and snippets // Other // Links 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] Quick guide for dealing with missing numbers in NumPy [IPython nb] A random collection of useful Python snippets [IPython nb] Things in pandas I wish I'd had known earlier [IPython nb] Python and the web [back to top] Creating internal links in IPython Notebooks and Markdown docs [IPython nb] Converting Markdown to HTML and adding Python syntax highlighting [Markdown] Algorithms and Data Structures [back to top] This category has been moved to a separate GitHub repository rasbt/algorithms_in_ipython_notebooks Sorting Algorithms [IPython nb] Linear regression via the least squares fit method [IPython nb] Dixon's Q test to identify outliers for small sample sizes [IPython nb] Counting points inside a hypercube [IPython nb] Singly Linked List [ IPython nbviewer ] Plotting and Visualization [back to top] The matplotlib-gallery in IPython notebooks has been moved to a separate GitHub repository matplotlib-gallery Featured articles: Preparing Plots for Publication [IPython nb] Benchmarks [back to top] Simple tricks to speed up the sum calculation in pandas [IPython nb] *More benchmarks can be found in the separate GitHub repository [One-Python-benchmark-per-day](https://github.com/rasbt/One-Python-benchmark-per-day)* Featured articles: (C)Python compilers - Cython vs. Numba vs. Parakeet [IPython nb] Just-in-time compilers for NumPy array expressions [IPython nb] Cython - Bridging the gap between Python and Fortran [IPython nb] Parallel processing via the multiprocessing module [IPython nb] Vectorizing a classic for-loop in NumPy [IPython nb] Python and "Data Science" [back to top] The "data science"-related posts have been moved to a separate GitHub repository pattern_classification Featured articles: Entry Point: Data - Using Python's sci-packages to prepare data for Machine Learning tasks and other data analyses [IPython nb] About Feature Scaling: Standardization and Min-Max-Scaling (Normalization) [IPython nb] Principal Component Analysis (PCA) [IPython nb] Linear Discriminant Analysis (LDA) [IPython nb] Kernel density estimation via the Parzen-window technique [IPython nb] Useful scripts and snippets [back to top] watermark - An IPython magic extension for printing date and time stamps, version numbers, and hardware information. Shell script For prepending Python-shebangs to .py files. A random string generator function. Converting large CSV files to SQLite databases using pandas. Sparsifying a matrix by zeroing out all elements b 638B ut the top k elements in a row using NumPy. Other [back to top] Python book reviews Happy Mother's Day Plot 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. PEP 257 - Python's official docstring conventions; pep257 - Python style guide checker // 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 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. A Byte of Python - a free book on programming using the Python language. Python Patterns - A directory of proven, reusable solutions to common programming problems. Intro to Computer Science - Build a Search Engine & a Social Network - A great, free course for learning Python if you haven't programmed before. // 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 - A 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.