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https://github.com/starkblaze01/Algorithms-Cheatsheet-Resources

πŸ€“All the geeky stuffs you need to know at one place!
https://github.com/starkblaze01/Algorithms-Cheatsheet-Resources

List: Algorithms-Cheatsheet-Resources

algorithm algorithms-and-data-structures awesome awesome-resources cheat-sheets cheatsheet computer-science conference-paper geeky-stuffs hacktoberfest hacktoberfest2024 haskell icdar interview-questions java javascript machine-learning programming-languages python resources

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πŸ€“All the geeky stuffs you need to know at one place!

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# Algorithms, Cheat-Sheet, and Resources

Collection of Useful Algorithms in multiple programming languages and some awesome cheat-sheet and resources for learning geeky stuffs.



## Please find below the links to awesome cheat-sheet and resources:



### Multiple platforms:

- [A ridiculous collection of cheatsheets](https://devhints.io/)

- [Awesome cheatsheets for popular programming languages, frameworks and development tools](https://lecoupa.github.io/awesome-cheatsheets/)

- [πŸ““ UI component dev & test: React, Vue, Angular, React Native, Ember, Web Components & more!](https://github.com/storybookjs/storybook)

- [Awesome lists about all kinds of interesting topics](https://github.com/sindresorhus/awesome)

- [List of Development YouTube Channels](https://github.com/ErikCH/DevYouTubeList)

- [πŸ“ A curated list of Web Performance Optimization](https://github.com/davidsonfellipe/awesome-wpo)

- [πŸ’»πŸ“– Laws, Theories, Principles and Patterns that developers will find useful. #hackerlaws](https://github.com/dwmkerr/hacker-laws)

- [A Collection of application ideas which can be used to improve your coding skills](https://github.com/florinpop17/app-ideas)

- [Teach Yourself Computer Science](https://teachyourselfcs.com/)

- [πŸ€“ Build your own (insert technology here)](https://github.com/danistefanovic/build-your-own-x)

- [Google's Engineering Practices documentation](https://github.com/google/eng-practices)

- [A list of Free Software network services and web applications which can be hosted locally](https://github.com/awesome-selfhosted/awesome-selfhosted)

- [Real-time performance monitoring, done right!](https://github.com/netdata/netdata)

- [πŸŽ“ Path to a free self-taught education in Computer Science!](https://github.com/ossu/computer-science)

- [πŸ“š List of awesome university courses for learning Computer Science!](https://github.com/prakhar1989/awesome-courses)

- [Deploy a Production Ready Kubernetes Cluster](https://github.com/kubernetes-sigs/kubespray)



### Bash:

- [πŸ“– A collection of pure bash alternatives to external processes](https://github.com/dylanaraps/pure-bash-bible)

- [Utility bash scripts to do automatable tasks with a single command](https://github.com/aviaryan/utility-bash-scripts)



### Git:

- [Git Commands](https://gist.github.com/hofmannsven/6814451)

- [Simple terminal UI for git commands](https://github.com/jesseduffield/lazygit)

- [A gitmoji interactive command line tool for using emojis on commits πŸ’»](https://github.com/carloscuesta/gitmoji-cli)



### Cloud:

- [πŸ“™ Amazon Web Services β€” a practical guide](https://github.com/open-guides/og-aws)

- [The Google Cloud Developer's Cheat Sheet](https://github.com/priyankavergadia/google-cloud-4-words)



### GitBook:

- [GitBook - A command-line tool(and Node.js library) for building beautiful books using GitHub/Git and Markdown](https://github.com/GitbookIO/gitbook)



### Complexities:

- [Big O Cheatsheet](https://www.bigocheatsheet.com/)



### VS-Code:

- [Keyboard Shortcuts for Windows](https://code.visualstudio.com/shortcuts/keyboard-shortcuts-windows.pdf)

- [Keyboard Shortcuts for macOS](https://code.visualstudio.com/shortcuts/keyboard-shortcuts-macos.pdf)



### Javascript:

  #### Resources:

  - [Must-watch videos about javascript](https://github.com/bolshchikov/js-must-watch)

  - [A curated list of javascript fundamentals and algorithms](https://github.com/ggomaeng/awesome-js)

  - [This is about useful JS tips!](https://github.com/loverajoel/jstips)

  - [A book about JavaScript, programming, and the wonders of the digital](https://eloquentjavascript.net/)

  - [🐒 A collection of awesome browser-side JavaScript libraries, resources and shiny things](https://github.com/sorrycc/awesome-javascript)

  - [LazyLoad is a fast, lightweight and flexible script that speeds up your web application by loading your content images, videos and iframes only as they enter the viewport](https://github.com/verlok/lazyload)

  - [A book series on JavaScript. @YDKJS on twitter](https://github.com/getify/You-Dont-Know-JS)

  - [A long list of (advanced) JavaScript questions, and their explanations ✨](https://github.com/lydiahallie/javascript-questions)

  #### Libraries:

  - [jQuery β€” New Wave JavaScript](https://github.com/jquery/jquery)

  - [React.js](https://github.com/reactjs)

  - [lodash - A modern JavaScript utility library delivering modularity, performance, & extras](https://github.com/lodash/lodash/)

  - [Underscore.js - A utility-belt library for JavaScript](https://github.com/jashkenas/underscore)

  - [Knockout - A JavaScript MVVM (a modern variant of MVC) library](https://github.com/knockout/knockout)

  - [Polymer - library which enables cross-browser support for HTML5 web components](https://github.com/polymer)

  - [Textures.js is a JavaScript library for creating SVG patterns](https://github.com/riccardoscalco/textures)

  - [Lightweight fuzzy-search, in JavaScript](https://github.com/krisk/Fuse)

  - [A practical functional library for JavaScript programmers](https://github.com/ramda/ramda)

  - [A table library that works everywhere](https://github.com/grid-js/gridjs)

  #### Frameworks:

  - [Angular.js](https://github.com/angular)

  - [Vue.js](https://github.com/vuejs)

  - [Ext JS](https://github.com/sencha)

  - [Backbone.js](https://github.com/jashkenas/backbone/)

  - [Next.js](https://github.com/vercel/next.js)

  - [Ember.js - A JavaScript framework for creating ambitious web applications](https://github.com/emberjs/ember.js)

  - [Fastify - Fast and low overhead web framework, for Node.js](https://github.com/fastify/fastify)

  - [Alpine - A rugged, minimal framework for composing JavaScript behavior in your markup](https://github.com/alpinejs/alpine)

  - [πŸ“Š Cube.js - Open Source Analytics Framework](https://github.com/cube-js/cube.js)

  #### General-Purpose Task Runners:

  - [Webpack](https://github.com/webpack/webpack)

  - [Gulp.js](https://github.com/gulpjs/gulp)

  - [Grunt](https://github.com/gruntjs/grunt)  

  #### Module Bundlers:

  - [Browserify](https://github.com/browserify/browserify)

  - [RequireJS](https://github.com/requirejs/r.js)

  #### Linting:

  - [ESLint](https://github.com/eslint/eslint)

  - [JSHint](https://github.com/jshint/jshint)

  - [JSLint](https://github.com/reid/node-jslint)

  #### Test Suits:

  - [Jest](https://github.com/facebook/jest)

  - [Mocha](https://github.com/mochajs/mocha)

  - [Jasmine](https://github.com/jasmine/jasmine-npm)



### Python:

- [Cool Python features for machine learning](https://github.com/chiphuyen/python-is-cool)

- [A collection of Python Scripts made for fun, while exploring Python 🐍](https://github.com/thepushkarp/JFF-Python-Scripts)

- [Tutorials on various Python modules and its applications](https://www.askpython.com/)

- [Python Tutorials in Detail](https://www.scaler.com/topics/python/)

  #### Packages:

  - [Pandas](https://pandas.pydata.org/docs/)

  - [Numpy](https://numpy.org/doc/)

  - [Matplotlib](https://matplotlib.org/stable/index.html)

  - [scikit-learn](https://scikit-learn.org/stable/)



#### Golang:

- [Standard Go Project Layout](https://github.com/golang-standards/project-layout)



### Must have Chrome-Extensions:

- [Momentum](https://chrome.google.com/webstore/detail/momentum/laookkfknpbbblfpciffpaejjkokdgca)

- [Adblock Plus](https://chrome.google.com/webstore/detail/adblock-plus-free-ad-bloc/cfhdojbkjhnklbpkdaibdccddilifddb/related)

- [uBlock Origin](https://chrome.google.com/webstore/detail/ublock-origin/cjpalhdlnbpafiamejdnhcphjbkeiagm)

- [Wappalyzer](https://chrome.google.com/webstore/detail/wappalyzer/gppongmhjkpfnbhagpmjfkannfbllamg?hl=en)

- [GitHub Repository Size](https://chrome.google.com/webstore/detail/github-repository-size/apnjnioapinblneaedefcnopcjepgkci?hl=en)

- [Grammarly](https://chrome.google.com/webstore/detail/grammarly-for-chrome/kbfnbcaeplbcioakkpcpgfkobkghlhen?hl=en)

- [Isometric Contributions](https://chrome.google.com/webstore/detail/isometric-contributions/mjoedlfflcchnleknnceiplgaeoegien)

- [WhatFont](https://chrome.google.com/webstore/detail/whatfont/jabopobgcpjmedljpbcaablpmlmfcogm?hl=en)

- [React Developer Tools](https://chrome.google.com/webstore/detail/react-developer-tools/fmkadmapgofadopljbjfkapdkoienihi?hl=en)

- [Octotree](https://chrome.google.com/webstore/detail/octotree/bkhaagjahfmjljalopjnoealnfndnagc)

- [Refined GitHub](https://chrome.google.com/webstore/detail/refined-github/hlepfoohegkhhmjieoechaddaejaokhf)

- [JSON Formatter](https://chrome.google.com/webstore/detail/json-formatter/bcjindcccaagfpapjjmafapmmgkkhgoa?hl=en)

- [Angular DevTools](https://chrome.google.com/webstore/detail/angular-devtools/ienfalfjdbdpebioblfackkekamfmbnh)

- [Vue.js devtools](https://chrome.google.com/webstore/detail/vuejs-devtools/nhdogjmejiglipccpnnnanhbledajbpd)

- [GoFullPage - Full Page Screen Capture](https://chrome.google.com/webstore/detail/gofullpage-full-page-scre/fdpohaocaechififmbbbbbknoalclacl?hl=en)

- [Fake Filler](https://chrome.google.com/webstore/detail/fake-filler/bnjjngeaknajbdcgpfkgnonkmififhfo)



### Machine-Learning/Data Science/AI/DL:

- [PyTorch tutorials](https://github.com/pytorch/tutorials)

- [Data-Science Cheat-Sheet](https://github.com/abhat222/Data-Science--Cheat-Sheet)

- [Related papers for robust machine learning](https://github.com/P2333/Papers-of-Robust-ML)

- [Pretrained EfficientNet, MixNet, MobileNetV3, MNASNet A1 and B1, FBNet, Single-Path NAS

](https://github.com/rwightman/gen-efficientnet-pytorch)

- [A booklet on machine learning systems design with exercises](https://github.com/chiphuyen/machine-learning-systems-design)

- [A collection of datasets ready to use with TensorFlow](https://github.com/tensorflow/datasets)

- [code for Data Science From Scratch book](https://github.com/joelgrus/data-science-from-scratch)

- [Tutorials, assignments, and competitions for MIT Deep Learning related courses](https://github.com/lexfridman/mit-deep-learning)

- [Fast image augmentation library and easy to use wrapper around other libraries](https://github.com/albumentations-team/albumentations)

- [Collection of Artificial Intelligence Algorithms implemented on various problems](https://github.com/starkblaze01/Artificial-Intelligence-Codes)

- [PyTorch image models, scripts, pretrained weights](https://github.com/rwightman/pytorch-image-models)

- [Code for visualizing the loss landscape of neural nets](https://github.com/tomgoldstein/loss-landscape)

- [Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!](https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap)

- [Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning](https://github.com/floodsung/Meta-Learning-Papers)

- [An end-to-end PyTorch framework for image and video classification](https://github.com/facebookresearch/ClassyVision)

- [The simplest way for researchers and developers to build world-class ML solutions](https://github.com/google/mediapipe)

- [Pose Animator takes a 2D vector illustration and animates its containing curves in real-time](https://github.com/yemount/pose-animator)

- [A system for detecting human body, facial and foot keypoints from RGB images](https://github.com/CMU-Perceptual-Computing-Lab/openpose)

- [A YouTube channel that covers recent and interest research works in the ML and DL area](https://www.youtube.com/user/keeroyz)

- [Tensorflow 2.0 cheat sheet](http://www.aicheatsheets.com/static/pdfs/tensorflow_v_2.0.pdf)

- [A list of ML papers, along with their respective code links](https://paperswithcode.com/)



### React/React-Native:

- [React-Typescript Cheatsheet](https://github.com/typescript-cheatsheets/react-typescript-cheatsheet)

- [Lint rules related to React & JSX for TSLint](https://github.com/palantir/tslint-react)

- [🐐 Simple and complete React DOM testing utilities that encourage good testing practices](https://github.com/testing-library/react-testing-library)

- [React Native Awesome Button](https://github.com/rcaferati/react-native-really-awesome-button)

- [React Native Awesome Slider](https://github.com/rcaferati/react-awesome-slider)

- [Simple and complete React DOM testing utilities](https://github.com/testing-library/react-testing-library)

- [Jest utilities for Styled Components](https://github.com/styled-components/jest-styled-components)

- [Collection of useful React components](https://github.com/streamich/libreact)

- [Build forms in React, without the tears 😭](https://github.com/jaredpalmer/formik)

- [High performance `` rendering for React components](https://github.com/Flipboard/react-canvas)

- [🌊 A flexible and fun JavaScript file upload library](https://github.com/pqina/filepond)

- [A React-Native datetime-picker for Android and iOS](https://github.com/mmazzarolo/react-native-modal-datetime-picker)

- [Galio is a beautifully designed, Free and Open Source React Native Framework](https://github.com/galio-org/galio)

- [A description of the conceptual model of React without implementation burden](https://github.com/reactjs/react-basic)

- [Recoil - An experimental state management library for React apps](https://github.com/facebookexperimental/Recoil)

- [The recommended Code Splitting library for React βœ‚οΈβœ¨](https://github.com/gregberge/loadable-components)

- [A draggable and resizable grid layout with responsive breakpoints, for React](https://github.com/STRML/react-grid-layout)

- [A collection of beautiful and useful React hooks to speed-up your components and hooks development](https://github.com/beautifulinteractions/beautiful-react-hooks)



### iOS:

- [ο£Ώ A curated list of Open Source example iOS apps developed in Swift](https://github.com/jogendra/example-ios-apps)



### Mac:

- [ο£Ώ Awesome Mac premium software in various categories](https://github.com/jaywcjlove/awesome-mac)

- [πŸ•Ή Retro video game emulation for macOS](https://github.com/OpenEmu/OpenEmu)



### CONDA:

- [CONDA CHEAT SHEET](https://docs.conda.io/projects/conda/en/4.6.0/_downloads/52a95608c49671267e40c689e0bc00ca/conda-cheatsheet.pdf)



### Game Engine

- [Babylon.js is a powerful, beautiful, simple, and open game and rendering engine packed into a friendly JavaScript framework](https://github.com/BabylonJS/Babylon.js)

- [Fast and lightweight WebGL game engine](https://github.com/playcanvas/engine)



### Blockchain:

- [A full stack for bitcoin and blockchain-based applications](https://github.com/bitpay/bitcore)



### Interview Questions:

- [Tech interview prep list](https://github.com/fterh/leetcode-curation-topical)

- [:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! πŸŽ“](https://github.com/MaximAbramchuck/awesome-interview-questions)

- [101+ coding interview problems](https://github.com/hoanhan101/algo)

- [πŸ•Έ Almost complete answers to "Front-end Job Interview Questions" which you can use to interview potential candidates, test yourself or completely ignore](https://github.com/yangshun/front-end-interview-handbook)

- [JavaScript interview Questions](https://github.com/ganqqwerty/123-Essential-JavaScript-Interview-Questions)

- [Data Structures and Algorithms in JavaScript](https://egghead.io/courses/data-structures-and-algorithms-in-javascript)

- [Pramp - Practice live interviews with peers](https://www.pramp.com/#/)

- [Coding Interview University](https://github.com/jwasham/coding-interview-university)

- [Interview Company Guides](https://www.interviewbit.com/technical-interview-questions/#company-guides)



## Tech Podcasts:

- [Curated List of Mostly Active Dev Podcasts](https://github.com/timarney/podcasts)



## Newsletter

- [Nibbles](https://thenibble.substack.com/)

- [Bytes](https://ui.dev/)



## GitHub Readme Generator:

- [πŸš€ This tool contains mini GUI components that you can hook together to automatically generate markdown code for a perfect readme](https://github.com/rishavanand/github-profilinator)



## Want to Contribute ?

Can't see your favorite algorithm script or cheat-sheet? Send a PR for adding your favorite algorithm in any programming language.



## License

This repository is available under the [MIT License](https://github.com/starkblaze01/Algorithms/blob/master/LICENSE).



##### Want to check your peers latest commits? [Try this out](https://github.com/starkblaze01/git-stalk)



##### P.S.: Please make sure the file name itself is self-explanatory about the Algorithm or make a folder along containing your script and a README file explaining the necessary details. Also, make sure there is main(): function which is taking clear inputs(if any) which could be easily understood by any person who wants to use that algorithm.