https://ipgp.github.io/scientific_python_cheat_sheet/

simple overview of python, numpy, scipy, matplotlib functions that are useful for scientific work
https://ipgp.github.io/scientific_python_cheat_sheet/

Last synced: about 2 months ago
JSON representation

simple overview of python, numpy, scipy, matplotlib functions that are useful for scientific work

• Host: GitHub
• URL: https://ipgp.github.io/scientific_python_cheat_sheet/
• Owner: IPGP
• License: cc-by-4.0
• Created: 2016-02-17T21:26:45.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2017-06-07T09:33:01.000Z (about 7 years ago)
• Last Synced: 2024-03-21T17:20:42.960Z (3 months ago)
• Language: HTML
• Homepage: https://ipgp.github.io/scientific_python_cheat_sheet
• Size: 16 MB
• Stars: 575
• Watchers: 32
• Forks: 262
• Open Issues: 4
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Lists

• pycrumbs - Scientific Python Cheatsheet
• awesome-fullstack - Scientific python cheat sheet
• awesome-fullstack - Scientific python cheat sheet

README

        
[![Build Status](https://travis-ci.org/IPGP/scientific_python_cheat_sheet.svg?branch=master)](https://travis-ci.org/IPGP/scientific_python_cheat_sheet)

# Scientific Python Cheat Sheet

## Overview

This is an overview of python, numpy, scipy, matplotlib functions that are

useful for scientific work. It tries to keep examples as compact as possible.

Chose one of the following layouts:

* [website](https://ipgp.github.io/scientific_python_cheat_sheet)

* [markdown](sheet.md)

Or the print version (without pandas until there are enough commands for a

third page)

* [high contrast pdf (2016-06-16)](https://github.com/IPGP/scientific_python_cheat_sheet/raw/master/print_version/high_contrast.pdf)

* [low contrast pdf (2016-06-16)](https://github.com/IPGP/scientific_python_cheat_sheet/raw/master/print_version/low_contrast.pdf)

## Printing

Printing the last version is a bit complicated so far if you want to have the

same layout as on the webpage but possible: You can save the CSS layout as an

image in firefox: 

1. use `shift + f2` to open the web console. 

2. Arange the page as you want to print it. We found that two columns is

   suitable for printing on A3 pages. You can either resize your browser or use

   the built-in zoom function for this (e.g. ctrl + mousewheel on firefox).

3. The command `screenshot out.png --fullpage` saves the current complete view

   of the page to the download folder.

4. Print the long image on several papers or cut it in pieces with the image

   software of your choice (e.g. gimp or inkscape). 

Hopefully this will be simpler in the future !

## Contributing

If you wish to contribute, you only need to edit the file [sheet.md](sheet.md)

and push it to the master branch (preferably via pull-request). The website

updates automatically. 

If, beyond your knowledge of Python, you also master HTML and CSS, you can also

contribute to the design of the website. You can submit your ideas via the

issues section or directly via pull-request.

## Reference:

Authors: A few scientists

## License: 

[Creative Commons (CC-BY-4.0)](LICENSE)