This repository contains the recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python, by Dr. Cyrille Rossant, Packt Publishing, 500 pages, September 2014.
A selection of free recipes from the book:
- Getting the best performance out of NumPy
- Simulating a physical system by minimizing an energy
- Creating a route planner for road network
- Introduction to machine learning in Python with scikit-learn
- Simulating a partial differential equation: reaction-diffusion systems and Turing patterns
- Getting started with Vispy
- more coming soon...
Table of contents
You can report inaccuracies or errors in the GitHub issue tracker. Even better, propose your own corrections by submitting a pull request!
Structure of the repository
The structure of the repo is the following:
notebooks/ all notebooks with the code of all examples chapter01_tour/ chapter02_best_practices/ ... extra/ extra code example that didn't make it in the book guests/ guest recipes featured/ a selection of complete recipes with all text, figures and code references/ a curated list of references about scientific Python programming tools/ various building Python scripts
You need Python 3 (or 2) and a bunch of scientific modules for the code examples, mainly IPython 2.0+, NumPy, SciPy, Pandas, and matplotlib. Many recipes that require other modules come with the appropriate installation instructions.
We highly recommend that you use an all-in-one Python distribution like Anaconda. This distribution comes with an excellent package manager named conda. It lets you install easily many modules on most platforms (Windows, Linux, Mac OS X), in 64-bit (recommended if you have a 64-bit OS) or 32-bit.
The recipes are written for Python 3 first, but they also work with Python 2. Please favor Python 3 over Python 2 if you can.
Cloning the repository
You need git, a distributed versioning system, to download a local copy of this repository. Open a terminal and type:
git clone https://github.com/ipython-books/cookbook-code.git
This will copy the repository in a local folder named
Running the examples
Launch the IPython notebook server with:
In your browser, go to
127.0.0.1:8888. You can navigate in the repository and open the notebooks.
You are welcome to contribute to this repository. You can use the issue tracker to report any problem. You can also propose a pull request (PR) to fix an error, to add some information, or even propose a brand new recipe in the