- // 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]
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A collection of not so obvious Python stuff you should know! [IPython nb]
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Python's scope resolution for variable names and the LEGB rule [IPython nb]
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Key differences between Python 2.x and Python 3.x [IPython nb]
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A thorough guide to SQLite database operations in Python [Markdown]
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Unit testing in Python - Why we want to make it a habit [Markdown]
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Installing Scientific Packages for Python3 on MacOS 10.9 Mavericks [Markdown]
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Sorting CSV files using the Python csv module [IPython nb]
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Using Cython with and without IPython magic [IPython nb]
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Parallel processing via the multiprocessing module [IPython nb]
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Entry point: Data - using sci-packages to prepare data for Machine Learning tasks and other data analyses [IPython nb]
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Awesome things that you can do in IPython Notebooks (in progress) [IPython nb]
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A collection of useful regular expressions [IPython nb]
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Quick guide for dealing with missing numbers in NumPy [IPython nb]
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A random collection of useful Python snippets [IPython nb]
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Things in pandas I wish I'd had known earlier [IPython nb]
Python and the web [back to top]
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Creating internal links in IPython Notebooks and Markdown docs [IPython nb]
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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
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Sorting Algorithms [IPython nb]
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Linear regression via the least squares fit method [IPython nb]
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Dixon's Q test to identify outliers for small sample sizes [IPython nb]
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Counting points inside a hypercube [IPython nb]
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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:
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(C)Python compilers - Cython vs. Numba vs. Parakeet [IPython nb]
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Just-in-time compilers for NumPy array expressions [IPython nb]
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Cython - Bridging the gap between Python and Fortran [IPython nb]
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Parallel processing via the multiprocessing module [IPython nb]
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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:
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Entry Point: Data - Using Python's sci-packages to prepare data for Machine Learning tasks and other data analyses [IPython nb]
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About Feature Scaling: Standardization and Min-Max-Scaling (Normalization) [IPython nb]
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Principal Component Analysis (PCA) [IPython nb]
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Linear Discriminant Analysis (LDA) [IPython nb]
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Kernel density estimation via the Parzen-window technique [IPython nb]
Useful scripts and snippets [back to top]
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watermark - An IPython magic extension for printing date and time stamps, version numbers, and hardware information.
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Shell script For prepending Python-shebangs to .py files.
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A random string generator function.
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Converting large CSV files to SQLite databases using pandas.
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Sparsifying a matrix by zeroing out all elements but the top k elements in a row using NumPy.
Other [back to top]
Links [back to top]
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PyPI - the Python Package Index - The official repository for all open source Python modules and packages.
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PEP 8 - The official style guide for Python code.
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PEP 257 - Python's official docstring conventions; pep257 - Python style guide checker
// News
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Python subreddit - My favorite resource to catch up with Python news and great Python-related articles.
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Python community on Google+ - A nice and friendly community to share and discuss everything about Python.
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Python Weekly - A free weekly newsletter featuring curated news, articles, new releases, jobs etc. related to Python.
// Resources for learning Python
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Dive Into Python / Dive Into Python 3 - A free Python book for experienced programmers.
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The Hitchhiker’s Guide to Python - A free best-practice handbook for both novices and experts.
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Think Python - How to Think Like a Computer Scientist - An introduction for beginners starting with basic concepts of programming.
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A Byte of Python - a free book on programming using the Python language.
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Python Patterns - A directory of proven, reusable solutions to common programming problems.
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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
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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.
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matplotlib - Python's favorite plotting library.
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NumPy - A library for multi-dimensional arrays and matrices, along with a large library of high-level mathematical functions to operate on these arrays.
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SciPy - A library that provides various useful functions for numerical computing, such as modules for optimization, linear algebra, integration, interpolation, ...
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pandas - High-performance, easy-to-use data structures and data analysis tools build on top of NumPy.
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Cython - C-extensions for Python, an optimizing static compiler to combine Python and C code.
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Numba - A just-in-time specializing compiler which compiles annotated Python and NumPy code to LLVM (through decorators)
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scikit-learn - A powerful machine learning library for Python and tools for efficient data mining and analysis.