Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/ipython-books/cookbook-code
[DEPRECATED] See the new edition:
https://github.com/ipython-books/cookbook-code
Last synced: 15 days ago
JSON representation
[DEPRECATED] See the new edition:
- Host: GitHub
- URL: https://github.com/ipython-books/cookbook-code
- Owner: ipython-books
- License: other
- Created: 2013-10-29T13:03:16.000Z (about 11 years ago)
- Default Branch: master
- Last Pushed: 2018-06-11T09:56:08.000Z (over 6 years ago)
- Last Synced: 2024-07-31T21:54:35.949Z (3 months ago)
- Language: Jupyter Notebook
- Homepage: http://ipython-books.github.io/
- Size: 3.19 MB
- Stars: 971
- Watchers: 90
- Forks: 457
- Open Issues: 18
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Awesome Lists containing this project
README
IPython Cookbook
================
This repository contains the recipes of the [IPython Cookbook](http://ipython-books.github.io), the definitive guide to **high-performance scientific computing** and **data science** in Python, by [Dr. Cyrille Rossant](http://cyrille.rossant.net), Packt Publishing, 500 pages, September 2014.
[Follow me on Twitter to get all updates](https://twitter.com/cyrillerossant)
## Featured recipes
A selection of free recipes from the book:
1. [Getting the best performance out of NumPy](http://ipython-books.github.io/featured-01/)
2. [Simulating a physical system by minimizing an energy](http://ipython-books.github.io/featured-02/)
3. [Creating a route planner for road network](http://ipython-books.github.io/featured-03/)
4. [Introduction to machine learning in Python with scikit-learn](http://ipython-books.github.io/featured-04/)
5. [Simulating a partial differential equation: reaction-diffusion systems and Turing patterns](http://ipython-books.github.io/featured-05/)
6. [Getting started with Vispy](http://ipython-books.github.io/featured-06/)
* more coming soon...
## Table of contents
* [See the full table of contents here](toc.md)
## Errata
You can report inaccuracies or errors in the [GitHub issue tracker](https://github.com/ipython-books/cookbook-code/issues). Even better, propose your own corrections by submitting a pull request!
* [See the list of errata here](errata.md)
## Example data
[You will find the data used in the recipes here](https://github.com/ipython-books/cookbook-data).
## 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
```
## Installation
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](http://continuum.io/downloads). 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](http://git-scm.com/), 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 `cookbook-code`.
## Running the examples
Launch the IPython notebook server with:
```
ipython notebook
```
In your browser, go to `127.0.0.1:8888`. You can navigate in the repository and open the notebooks.
## Contribute
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 `guests/` folder!