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find below the links to awesome cheat-sheet and resources:","Newsletter","License","GitHub Readme Generator:","Tech Podcasts:"],"sub_categories":["Mac:","Javascript:","Multiple platforms:","iOS:","React/React-Native:","Python:","Interview Questions:","Complexities:","VS-Code:","CONDA:","Machine-Learning/Data Science/AI/DL:","Git:","Must have Chrome-Extensions:","Game Engine","GitBook:","Bash:","Cloud:","Blockchain:"],"readme":"# Algorithms, Cheat-Sheet, and Resources\nCollection of Useful Algorithms in multiple programming languages and some awesome cheat-sheet and resources for learning geeky stuffs.\n\n## Please find below the links to awesome cheat-sheet and resources:\n\n### Multiple platforms:\n- [A ridiculous collection of cheatsheets](https://devhints.io/)\n- [Awesome cheatsheets for popular programming languages, frameworks and development tools](https://lecoupa.github.io/awesome-cheatsheets/)\n- [📓 UI component dev \u0026 test: React, Vue, Angular, React Native, Ember, Web Components \u0026 more!](https://github.com/storybookjs/storybook)\n- [Awesome lists about all kinds of interesting topics](https://github.com/sindresorhus/awesome)\n- [List of Development YouTube Channels](https://github.com/ErikCH/DevYouTubeList)\n- [📝 A curated list of Web Performance Optimization](https://github.com/davidsonfellipe/awesome-wpo)\n- [💻📖 Laws, Theories, Principles and Patterns that developers will find useful. #hackerlaws](https://github.com/dwmkerr/hacker-laws)\n- [A Collection of application ideas which can be used to improve your coding skills](https://github.com/florinpop17/app-ideas)\n- [Teach Yourself Computer Science](https://teachyourselfcs.com/)\n- [🤓 Build your own (insert technology here)](https://github.com/danistefanovic/build-your-own-x)\n- [Google's Engineering Practices documentation](https://github.com/google/eng-practices)\n- [A list of Free Software network services and web applications which can be hosted locally](https://github.com/awesome-selfhosted/awesome-selfhosted)\n- [Real-time performance monitoring, done right!](https://github.com/netdata/netdata)\n- [🎓 Path to a free self-taught education in Computer Science!](https://github.com/ossu/computer-science)\n- [📚 List of awesome university courses for learning Computer Science!](https://github.com/prakhar1989/awesome-courses)\n- [Deploy a Production Ready Kubernetes Cluster](https://github.com/kubernetes-sigs/kubespray)\n\n### Bash:\n- [📖 A collection of pure bash alternatives to external processes](https://github.com/dylanaraps/pure-bash-bible)\n- [Utility bash scripts to do automatable tasks with a single command](https://github.com/aviaryan/utility-bash-scripts)\n\n### Git:\n- [Git Commands](https://gist.github.com/hofmannsven/6814451)\n- [Simple terminal UI for git commands](https://github.com/jesseduffield/lazygit)\n- [A gitmoji interactive command line tool for using emojis on commits 💻](https://github.com/carloscuesta/gitmoji-cli)\n\n### Cloud:\n- [📙 Amazon Web Services — a practical guide](https://github.com/open-guides/og-aws)\n- [The Google Cloud Developer's Cheat Sheet](https://github.com/priyankavergadia/google-cloud-4-words)\n\n### GitBook:\n- [GitBook - A command-line tool(and Node.js library) for building beautiful books using GitHub/Git and Markdown](https://github.com/GitbookIO/gitbook)\n\n### Complexities:\n- [Big O Cheatsheet](https://www.bigocheatsheet.com/)\n\n### VS-Code:\n- [Keyboard Shortcuts for Windows](https://code.visualstudio.com/shortcuts/keyboard-shortcuts-windows.pdf)\n- [Keyboard Shortcuts for macOS](https://code.visualstudio.com/shortcuts/keyboard-shortcuts-macos.pdf)\n\n### Javascript:\n  #### Resources:\n  - [Must-watch videos about javascript](https://github.com/bolshchikov/js-must-watch)\n  - [A curated list of javascript fundamentals and algorithms](https://github.com/ggomaeng/awesome-js)\n  - [This is about useful JS tips!](https://github.com/loverajoel/jstips)\n  - [A book about JavaScript, programming, and the wonders of the digital](https://eloquentjavascript.net/)\n  - [🐢 A collection of awesome browser-side JavaScript libraries, resources and shiny things](https://github.com/sorrycc/awesome-javascript)\n  - [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)\n  - [A book series on JavaScript. @YDKJS on twitter](https://github.com/getify/You-Dont-Know-JS)\n  - [A long list of (advanced) JavaScript questions, and their explanations ✨](https://github.com/lydiahallie/javascript-questions)\n  #### Libraries:\n  - [jQuery — New Wave JavaScript](https://github.com/jquery/jquery)\n  - [React.js](https://github.com/reactjs)\n  - [lodash - A modern JavaScript utility library delivering modularity, performance, \u0026 extras](https://github.com/lodash/lodash/)\n  - [Underscore.js - A utility-belt library for JavaScript](https://github.com/jashkenas/underscore)\n  - [Knockout - A JavaScript MVVM (a modern variant of MVC) library](https://github.com/knockout/knockout)\n  - [Polymer - library which enables cross-browser support for HTML5 web components](https://github.com/polymer)\n  - [Textures.js is a JavaScript library for creating SVG patterns](https://github.com/riccardoscalco/textures)\n  - [Lightweight fuzzy-search, in JavaScript](https://github.com/krisk/Fuse)\n  - [A practical functional library for JavaScript programmers](https://github.com/ramda/ramda)\n  - [A table library that works everywhere](https://github.com/grid-js/gridjs)\n  #### Frameworks:\n  - [Angular.js](https://github.com/angular)\n  - [Vue.js](https://github.com/vuejs)\n  - [Ext JS](https://github.com/sencha)\n  - [Backbone.js](https://github.com/jashkenas/backbone/)\n  - [Next.js](https://github.com/vercel/next.js)\n  - [Ember.js - A JavaScript framework for creating ambitious web applications](https://github.com/emberjs/ember.js)\n  - [Fastify - Fast and low overhead web framework, for Node.js](https://github.com/fastify/fastify)\n  - [Alpine - A rugged, minimal framework for composing JavaScript behavior in your markup](https://github.com/alpinejs/alpine)\n  - [📊 Cube.js - Open Source Analytics Framework](https://github.com/cube-js/cube.js)\n  #### General-Purpose Task Runners:\n  - [Webpack](https://github.com/webpack/webpack)\n  - [Gulp.js](https://github.com/gulpjs/gulp)\n  - [Grunt](https://github.com/gruntjs/grunt)  \n  #### Module Bundlers:\n  - [Browserify](https://github.com/browserify/browserify)\n  - [RequireJS](https://github.com/requirejs/r.js)\n  #### Linting:\n  - [ESLint](https://github.com/eslint/eslint)\n  - [JSHint](https://github.com/jshint/jshint)\n  - [JSLint](https://github.com/reid/node-jslint)\n  #### Test Suits:\n  - [Jest](https://github.com/facebook/jest)\n  - [Mocha](https://github.com/mochajs/mocha)\n  - [Jasmine](https://github.com/jasmine/jasmine-npm)\n\n### Python:\n- [Cool Python features for machine learning](https://github.com/chiphuyen/python-is-cool)\n- [A collection of Python Scripts made for fun, while exploring Python 🐍](https://github.com/thepushkarp/JFF-Python-Scripts)\n- [Tutorials on various Python modules and its applications](https://www.askpython.com/)\n- [Python Tutorials in Detail](https://www.scaler.com/topics/python/)\n  #### Packages:\n  - [Pandas](https://pandas.pydata.org/docs/)\n  - [Numpy](https://numpy.org/doc/)\n  - [Matplotlib](https://matplotlib.org/stable/index.html)\n  - [scikit-learn](https://scikit-learn.org/stable/)\n\n#### Golang:\n- [Standard Go Project Layout](https://github.com/golang-standards/project-layout)\n\n### Must have Chrome-Extensions:\n- [Momentum](https://chrome.google.com/webstore/detail/momentum/laookkfknpbbblfpciffpaejjkokdgca)\n- [Adblock Plus](https://chrome.google.com/webstore/detail/adblock-plus-free-ad-bloc/cfhdojbkjhnklbpkdaibdccddilifddb/related)\n- [uBlock Origin](https://chrome.google.com/webstore/detail/ublock-origin/cjpalhdlnbpafiamejdnhcphjbkeiagm)\n- [Wappalyzer](https://chrome.google.com/webstore/detail/wappalyzer/gppongmhjkpfnbhagpmjfkannfbllamg?hl=en)\n- [GitHub Repository Size](https://chrome.google.com/webstore/detail/github-repository-size/apnjnioapinblneaedefcnopcjepgkci?hl=en)\n- [Grammarly](https://chrome.google.com/webstore/detail/grammarly-for-chrome/kbfnbcaeplbcioakkpcpgfkobkghlhen?hl=en)\n- [Isometric Contributions](https://chrome.google.com/webstore/detail/isometric-contributions/mjoedlfflcchnleknnceiplgaeoegien)\n- [WhatFont](https://chrome.google.com/webstore/detail/whatfont/jabopobgcpjmedljpbcaablpmlmfcogm?hl=en)\n- [React Developer Tools](https://chrome.google.com/webstore/detail/react-developer-tools/fmkadmapgofadopljbjfkapdkoienihi?hl=en)\n- [Octotree](https://chrome.google.com/webstore/detail/octotree/bkhaagjahfmjljalopjnoealnfndnagc)\n- [Refined GitHub](https://chrome.google.com/webstore/detail/refined-github/hlepfoohegkhhmjieoechaddaejaokhf)\n- [JSON Formatter](https://chrome.google.com/webstore/detail/json-formatter/bcjindcccaagfpapjjmafapmmgkkhgoa?hl=en)\n- [Angular DevTools](https://chrome.google.com/webstore/detail/angular-devtools/ienfalfjdbdpebioblfackkekamfmbnh)\n- [Vue.js devtools](https://chrome.google.com/webstore/detail/vuejs-devtools/nhdogjmejiglipccpnnnanhbledajbpd)\n- [GoFullPage - Full Page Screen Capture](https://chrome.google.com/webstore/detail/gofullpage-full-page-scre/fdpohaocaechififmbbbbbknoalclacl?hl=en)\n- [Fake Filler](https://chrome.google.com/webstore/detail/fake-filler/bnjjngeaknajbdcgpfkgnonkmififhfo)\n\n### Machine-Learning/Data Science/AI/DL:\n- [PyTorch tutorials](https://github.com/pytorch/tutorials)\n- [Data-Science Cheat-Sheet](https://github.com/abhat222/Data-Science--Cheat-Sheet)\n- [Related papers for robust machine learning](https://github.com/P2333/Papers-of-Robust-ML)\n- [Pretrained EfficientNet, MixNet, MobileNetV3, MNASNet A1 and B1, FBNet, Single-Path NAS\n](https://github.com/rwightman/gen-efficientnet-pytorch)\n- [A booklet on machine learning systems design with exercises](https://github.com/chiphuyen/machine-learning-systems-design)\n- [A collection of datasets ready to use with TensorFlow](https://github.com/tensorflow/datasets)\n- [code for Data Science From Scratch book](https://github.com/joelgrus/data-science-from-scratch)\n- [Tutorials, assignments, and competitions for MIT Deep Learning related courses](https://github.com/lexfridman/mit-deep-learning)\n- [Fast image augmentation library and easy to use wrapper around other libraries](https://github.com/albumentations-team/albumentations)\n- [Collection of Artificial Intelligence Algorithms implemented on various problems](https://github.com/starkblaze01/Artificial-Intelligence-Codes)\n- [PyTorch image models, scripts, pretrained weights](https://github.com/rwightman/pytorch-image-models)\n- [Code for visualizing the loss landscape of neural nets](https://github.com/tomgoldstein/loss-landscape)\n- [Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!](https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap)\n- [Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning](https://github.com/floodsung/Meta-Learning-Papers)\n- [An end-to-end PyTorch framework for image and video classification](https://github.com/facebookresearch/ClassyVision)\n- [The simplest way for researchers and developers to build world-class ML solutions](https://github.com/google/mediapipe)\n- [Pose Animator takes a 2D vector illustration and animates its containing curves in real-time](https://github.com/yemount/pose-animator)\n- [A system for detecting human body, facial and foot keypoints from RGB images](https://github.com/CMU-Perceptual-Computing-Lab/openpose)\n- [A YouTube channel that covers recent and interest research works in the ML and DL area](https://www.youtube.com/user/keeroyz)\n- [Tensorflow 2.0 cheat sheet](http://www.aicheatsheets.com/static/pdfs/tensorflow_v_2.0.pdf)\n- [A list of ML papers, along with their respective code links](https://paperswithcode.com/)\n\n### React/React-Native:\n- [React-Typescript Cheatsheet](https://github.com/typescript-cheatsheets/react-typescript-cheatsheet)\n- [Lint rules related to React \u0026 JSX for TSLint](https://github.com/palantir/tslint-react)\n- [🐐 Simple and complete React DOM testing utilities that encourage good testing practices](https://github.com/testing-library/react-testing-library)\n- [React Native Awesome Button](https://github.com/rcaferati/react-native-really-awesome-button)\n- [React Native Awesome Slider](https://github.com/rcaferati/react-awesome-slider)\n- [Simple and complete React DOM testing utilities](https://github.com/testing-library/react-testing-library)\n- [Jest utilities for Styled Components](https://github.com/styled-components/jest-styled-components)\n- [Collection of useful React components](https://github.com/streamich/libreact)\n- [Build forms in React, without the tears 😭](https://github.com/jaredpalmer/formik)\n- [High performance `\u003ccanvas\u003e` rendering for React components](https://github.com/Flipboard/react-canvas)\n- [🌊 A flexible and fun JavaScript file upload library](https://github.com/pqina/filepond)\n- [A React-Native datetime-picker for Android and iOS](https://github.com/mmazzarolo/react-native-modal-datetime-picker)\n- [Galio is a beautifully designed, Free and Open Source React Native Framework](https://github.com/galio-org/galio)\n- [A description of the conceptual model of React without implementation burden](https://github.com/reactjs/react-basic)\n- [Recoil - An experimental state management library for React apps](https://github.com/facebookexperimental/Recoil)\n- [The recommended Code Splitting library for React ✂️✨](https://github.com/gregberge/loadable-components)\n- [A draggable and resizable grid layout with responsive breakpoints, for React](https://github.com/STRML/react-grid-layout)\n- [A collection of beautiful and useful React hooks to speed-up your components and hooks development](https://github.com/beautifulinteractions/beautiful-react-hooks)\n\n### iOS:\n- [ A curated list of Open Source example iOS apps developed in Swift](https://github.com/jogendra/example-ios-apps)\n\n### Mac:\n- [ Awesome Mac premium software in various categories](https://github.com/jaywcjlove/awesome-mac)\n- [🕹 Retro video game emulation for macOS](https://github.com/OpenEmu/OpenEmu)\n\n### CONDA:\n- [CONDA CHEAT SHEET](https://docs.conda.io/projects/conda/en/4.6.0/_downloads/52a95608c49671267e40c689e0bc00ca/conda-cheatsheet.pdf)\n\n### Game Engine\n- [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)\n- [Fast and lightweight WebGL game engine](https://github.com/playcanvas/engine)\n\n### Blockchain:\n- [A full stack for bitcoin and blockchain-based applications](https://github.com/bitpay/bitcore)\n\n### Interview Questions:\n- [Tech interview prep list](https://github.com/fterh/leetcode-curation-topical)\n- [:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! 🎓](https://github.com/MaximAbramchuck/awesome-interview-questions)\n- [101+ coding interview problems](https://github.com/hoanhan101/algo)\n- [🕸 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)\n- [JavaScript interview Questions](https://github.com/ganqqwerty/123-Essential-JavaScript-Interview-Questions)\n- [Data Structures and Algorithms in JavaScript](https://egghead.io/courses/data-structures-and-algorithms-in-javascript)\n- [Pramp - Practice live interviews with peers](https://www.pramp.com/#/)\n- [Coding Interview University](https://github.com/jwasham/coding-interview-university)\n- [Interview Company Guides](https://www.interviewbit.com/technical-interview-questions/#company-guides)\n\n## Tech Podcasts:\n- [Curated List of Mostly Active Dev Podcasts](https://github.com/timarney/podcasts)\n\n## Newsletter\n- [Nibbles](https://thenibble.substack.com/)\n- [Bytes](https://ui.dev/)\n\n## GitHub Readme Generator:\n- [🚀 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)\n\n## Want to Contribute ?\nCan't see your favorite algorithm script or cheat-sheet? Send a PR for adding your favorite algorithm in any programming language.\n\n## License\nThis repository is available under the [MIT License](https://github.com/starkblaze01/Algorithms/blob/master/LICENSE).\n\n\n##### Want to check your peers latest commits? [Try this out](https://github.com/starkblaze01/git-stalk)\n\n##### 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.\n","projects_url":"https://awesome.ecosyste.ms/api/v1/lists/starkblaze01%2Falgorithms-cheatsheet-resources/projects"}