├── contributing.md └── readme.md /contributing.md: -------------------------------------------------------------------------------- 1 | # Contributing 2 | 3 | Thank you for taking the time to contribute! ♥️ Ensure your PR adheres to following guidelines: 4 | 5 | - Search included cheat sheets before adding a new one, as yours may be a duplicate. 6 | - Only add cheat sheets you think are great! Feel welcome to remove entries that you think aren't great! 7 | - Use the following format: `[Name](link) - Description.` 8 | - The cheat sheet should be put into its appropriate category. Pick one you think is closest if you are not sure. 9 | - Start the description with a capital and end with a full stop. 10 | - Don't start the description with `A` or `An`. 11 | - Check your spelling and grammar. 12 | - New categories or improvements to the existing categorization are welcome. 13 | - You can also add related links and repositories in the end. 14 | 15 | [All suggestions are welcome](../../edit/master/readme.md). 16 | -------------------------------------------------------------------------------- /readme.md: -------------------------------------------------------------------------------- 1 | # Cheat Sheets [![Lists](https://img.shields.io/badge/-more%20lists-0a0a0a.svg?style=flat&colorA=0a0a0a)](https://github.com/learn-anything/curated-lists) 2 | 3 | _Please read [contribution guidelines](contributing.md) before contributing._ 4 | 5 | ## General 6 | 7 | - [Awesome Cheat Sheets](https://github.com/LeCoupa/awesome-cheatsheets) 8 | - [Dev Hints](https://devhints.io/) 9 | 10 | ## JavaScript 11 | 12 | - [Asynchronous JavaScript](https://github.com/frontarm/async-javascript-cheatsheet) 13 | 14 | ## Machine Learning 15 | 16 | - [Data Science Cheat Sheets](https://github.com/FavioVazquez/ds-cheatsheets) 17 | - [Machine Learning Cheat Sheet](https://ml-cheatsheet.readthedocs.io/en/latest/) - Brief visual explanations of machine learning concepts with diagrams, code examples and links to resources for learning more. 18 | - [Machine Learning Cheat Sheet](https://github.com/soulmachine/machine-learning-cheat-sheet) - Classical equations and diagrams in machine learning. 19 | 20 | ## Python 21 | 22 | - [Python 3 Cheat Sheet](https://perso.limsi.fr/pointal/_media/python:cours:mementopython3-english.pdf) 23 | 24 | [![CC4](https://img.shields.io/badge/license-CC4-0a0a0a.svg?style=flat&colorA=0a0a0a)](https://creativecommons.org/licenses/by/4.0/) 25 | [![Lists](https://img.shields.io/badge/-more%20lists-0a0a0a.svg?style=flat&colorA=0a0a0a)](https://github.com/learn-anything/curated-lists) 26 | [![Contribute](https://img.shields.io/badge/-contribute-0a0a0a.svg?style=flat&colorA=0a0a0a)](contributing.md) 27 | [![Twitter](http://bit.ly/latwitt)](https://twitter.com/learnanything_) 28 | --------------------------------------------------------------------------------