https://github.com/you-n-g/cheatsheets
To make the most of cheatsheets, I try to make them RUNNALBLE!
https://github.com/you-n-g/cheatsheets
envrironment neovim-dotfiles python shell vimrc
Last synced: about 2 months ago
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To make the most of cheatsheets, I try to make them RUNNALBLE!
- Host: GitHub
- URL: https://github.com/you-n-g/cheatsheets
- Owner: you-n-g
- Created: 2014-12-16T10:28:41.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2025-03-04T03:50:04.000Z (3 months ago)
- Last Synced: 2025-03-18T22:07:08.494Z (2 months ago)
- Topics: envrironment, neovim-dotfiles, python, shell, vimrc
- Language: Python
- Homepage:
- Size: 581 KB
- Stars: 8
- Watchers: 3
- Forks: 6
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# Introduction
A collection of cheatsheets of
- a **data-mining** researcher who
- write code with **Python**
- in **neovim**
- and enjoys **DevOps** tricksPart of the cheatsheets which can be reguarded as a part of configurations/dot-files & auto-deployment are moved to [deploy](https://github.com/you-n-g/deploy)
# Runnable cheatsheets!
To make the most of cheatsheets, I try to make them RUNNALBLE!Currently, not all cheatsheets are runnable. We are continouesly trying to complete it. Your PR is also welcome!
# Catalog principle
The cheatsheests are categorized by scenarios/intentions.
- Because cheatsheets are often seeked when we are focusing on a specific scenario, putting them together will improve the *rate of hit cheatsheets*Explanations for folders for scenarios/intentions.
- ML: machine learning & data mining.
- app: cheatsheets for specific applications.
- SA: system administration. A lot of DevOps tricks snippets will be placed here
- What's the boundary bettween APP and SA? (some tools in for SA are also some appps)
- Small applications and tools which is only (or maininly) for helping the system run better or performing some regular maintanance tasks will be included in SA
- Otherwise, they will be included in the APPs
- language: some cheatsheets for built-in languages, e.g. syntactic sugar, profiling, debugging.
- tools: Some tools which are used in daily coding workflow.