/python_referenceforked from rasbt/python_reference
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A collection of useful scripts, tutorials, and other Python-related things
- // Python tips and tutorials
- // Python and the web
- // Algorithms
- // Benchmarks
- // Other
- // Useful scripts and snippets
- // Links
// 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]
- A collection of useful regular expressions [IPython nb]
// Python and the web
- Creating internal links in IPython Notebooks and Markdown docs [IPython nb]
- Converting Markdown to HTML and adding Python syntax highlighting [Markdown]
// Algorithms
The algorithms category was 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]
- Sequential Selection Algorithms [IPython nb]
- Counting points inside a hypercube [IPython nb]
// Benchmarks
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
dequecontainer data type [IPython nb] - 12 - Lightning fast insertion into sorted lists via the
bisectmodule [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
- 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
- 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
- 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)
- scikit-learn - a powerful machine learning library for Python and tools for efficient data mining and analysis
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