starkblaze01/algorithms-cheatsheet-resources

🤓All the geeky stuffs you need to know at one place!

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
• Awesome cheatsheets for popular programming languages, frameworks and development tools
• 📓 UI component dev & test: React, Vue, Angular, React Native, Ember, Web Components & more!
• Awesome lists about all kinds of interesting topics
• List of Development YouTube Channels
• 📝 A curated list of Web Performance Optimization
• 💻📖 Laws, Theories, Principles and Patterns that developers will find useful. #hackerlaws
• A Collection of application ideas which can be used to improve your coding skills
• Teach Yourself Computer Science
• 🤓 Build your own (insert technology here)
• Google's Engineering Practices documentation
• A list of Free Software network services and web applications which can be hosted locally
• Real-time performance monitoring, done right!
• 🎓 Path to a free self-taught education in Computer Science!
• 📚 List of awesome university courses for learning Computer Science!
• Deploy a Production Ready Kubernetes Cluster

Bash:

• 📖 A collection of pure bash alternatives to external processes
• Utility bash scripts to do automatable tasks with a single command

Git:

• Git Commands
• Simple terminal UI for git commands
• A gitmoji interactive command line tool for using emojis on commits 💻

Cloud:

• 📙 Amazon Web Services — a practical guide
• The Google Cloud Developer's Cheat Sheet

GitBook:

• GitBook - A command-line tool(and Node.js library) for building beautiful books using GitHub/Git and Markdown

Complexities:

• Big O Cheatsheet

VS-Code:

• Keyboard Shortcuts for Windows
• Keyboard Shortcuts for macOS

Javascript:

Resources:

• Must-watch videos about javascript
• A curated list of javascript fundamentals and algorithms
• This is about useful JS tips!
• A book about JavaScript, programming, and the wonders of the digital
• 🐢 A collection of awesome browser-side JavaScript libraries, resources and shiny things
• 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
• A book series on JavaScript. @YDKJS on twitter
• A long list of (advanced) JavaScript questions, and their explanations ✨

Libraries:

• jQuery — New Wave JavaScript
• React.js
• lodash - A modern JavaScript utility library delivering modularity, performance, & extras
• Underscore.js - A utility-belt library for JavaScript
• Knockout - A JavaScript MVVM (a modern variant of MVC) library
• Polymer - library which enables cross-browser support for HTML5 web components
• Textures.js is a JavaScript library for creating SVG patterns
• Lightweight fuzzy-search, in JavaScript
• A practical functional library for JavaScript programmers
• A table library that works everywhere

Frameworks:

• Angular.js
• Vue.js
• Ext JS
• Backbone.js
• Next.js
• Ember.js - A JavaScript framework for creating ambitious web applications
• Fastify - Fast and low overhead web framework, for Node.js
• Alpine - A rugged, minimal framework for composing JavaScript behavior in your markup
• 📊 Cube.js - Open Source Analytics Framework

General-Purpose Task Runners:

• Webpack
• Gulp.js
• Grunt

Module Bundlers:

• Browserify
• RequireJS

Linting:

• ESLint
• JSHint
• JSLint

Test Suits:

• Jest
• Mocha
• Jasmine

Python:

• Cool Python features for machine learning
• A collection of Python Scripts made for fun, while exploring Python 🐍
• Tutorials on various Python modules and its applications
• Python Tutorials in Detail

  Packages:

  • Pandas
  • Numpy
  • Matplotlib
  • scikit-learn

Golang:

• Standard Go Project Layout

Must have Chrome-Extensions:

• Momentum
• Adblock Plus
• uBlock Origin
• Wappalyzer
• GitHub Repository Size
• Grammarly
• Isometric Contributions
• WhatFont
• React Developer Tools
• Octotree
• Refined GitHub
• JSON Formatter
• Angular DevTools
• Vue.js devtools
• GoFullPage - Full Page Screen Capture
• Fake Filler

Machine-Learning/Data Science/AI/DL:

• PyTorch tutorials
• Data-Science Cheat-Sheet
• Related papers for robust machine learning
• Pretrained EfficientNet, MixNet, MobileNetV3, MNASNet A1 and B1, FBNet, Single-Path NAS
• A booklet on machine learning systems design with exercises
• A collection of datasets ready to use with TensorFlow
• code for Data Science From Scratch book
• Tutorials, assignments, and competitions for MIT Deep Learning related courses
• Fast image augmentation library and easy to use wrapper around other libraries
• Collection of Artificial Intelligence Algorithms implemented on various problems
• PyTorch image models, scripts, pretrained weights
• Code for visualizing the loss landscape of neural nets
• Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
• Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
• An end-to-end PyTorch framework for image and video classification
• The simplest way for researchers and developers to build world-class ML solutions
• Pose Animator takes a 2D vector illustration and animates its containing curves in real-time
• A system for detecting human body, facial and foot keypoints from RGB images
• A YouTube channel that covers recent and interest research works in the ML and DL area
• Tensorflow 2.0 cheat sheet
• A list of ML papers, along with their respective code links

React/React-Native:

• React-Typescript Cheatsheet
• Lint rules related to React & JSX for TSLint
• 🐐 Simple and complete React DOM testing utilities that encourage good testing practices
• React Native Awesome Button
• React Native Awesome Slider
• Simple and complete React DOM testing utilities
• Jest utilities for Styled Components
• Collection of useful React components
• Build forms in React, without the tears 😭
• High performance <canvas> rendering for React components
• 🌊 A flexible and fun JavaScript file upload library
• A React-Native datetime-picker for Android and iOS
• Galio is a beautifully designed, Free and Open Source React Native Framework
• A description of the conceptual model of React without implementation burden
• Recoil - An experimental state management library for React apps
• The recommended Code Splitting library for React ✂️✨
• A draggable and resizable grid layout with responsive breakpoints, for React
• A collection of beautiful and useful React hooks to speed-up your components and hooks development

iOS:

•  A curated list of Open Source example iOS apps developed in Swift

Mac:

•  Awesome Mac premium software in various categories
• 🕹 Retro video game emulation for macOS

CONDA:

• CONDA CHEAT SHEET

Game Engine

• Babylon.js is a powerful, beautiful, simple, and open game and rendering engine packed into a friendly JavaScript framework
• Fast and lightweight WebGL game engine

Blockchain:

• A full stack for bitcoin and blockchain-based applications

Interview Questions:

• Tech interview prep list
• A curated awesome list of lists of interview questions. Feel free to contribute! 🎓
• 101+ coding interview problems
• 🕸 Almost complete answers to "Front-end Job Interview Questions" which you can use to interview potential candidates, test yourself or completely ignore
• JavaScript interview Questions
• Data Structures and Algorithms in JavaScript
• Pramp - Practice live interviews with peers
• Coding Interview University
• Interview Company Guides

Tech Podcasts:

• Curated List of Mostly Active Dev Podcasts

Newsletter

• Nibbles
• Bytes

GitHub Readme Generator:

• 🚀 This tool contains mini GUI components that you can hook together to automatically generate markdown code for a perfect readme

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.

Want to check your peers latest commits? Try this out

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.

algorithms-cheatsheet-resources's Issues

Python script to quick print all the attributes of a class

Is your feature request related to a problem? Please describe.
A python script to print all the attributes of a class, easy to run in cli

Describe the solution you'd like
One line code, easy to run in cli or debugging environment

Adding Hashing Algorithm in java folder

Like to add hashing algorithm

Hacktoberfest: Collection of new Algorithms needed.

Hello folks,

Hacktoberfest has already started!

Still confused about what to contribute?

Let's make your task simpler.
This repository contains many algorithms. Found your favorite problem? Then star it 😄 . Can't see your favorite one? Then send a PR an add any algorithms of your choice(e.g. Sorting algorithms, Dynamic Programming, etc.) in your favorite programming language.

P.S.: Please make sure the file name itself is self-explanatory about the Algorithms or make a folder along containing your script and a README explaining the necessary details.

CVPR Papers and Codes

Is your feature request related to a problem? Please describe.
CVPR (Computer Vision and Pattern Recognition) is the best conference in Computer Vision and a top-notch conference for Computer Science in general. In addition to ICDAR papers and their code, it would be helpful to have CVPR papers along with their code as well.

Describe the solution you'd like
List of CVPR papers and their code.

Making Change Problem Dynamic Programming

Making change problem using Dynamic Programming.
Using Python Programming Language.

Computer Vision dedicated library under python cheatsheet.

Is your feature request related to a problem? Please describe.
I was not able to find any computer vision related resources on the python folder.

Describe the solution you'd like
I would love to add a dedicated opencv-python library to this cheatsheet folder of python.

Additional context
Open-CV is a very useful library that is beginner friendly and gives a proper knowledge of many path planning algorithms and help understand those easily at that level.

Hacktoberfest

Hello folks,

Hacktoberfest has already started!

Still, confused about what to contribute?

• Let's make your task simpler.
  This repository contains many algorithms. Found your favourite problem? Liked the repo? Hit ⭐ button to show support 😄 . Can't see your favourite one? Then send a PR an add any algorithms of your choice(e.g. Sorting algorithms, Dynamic Programming, etc.) in your favourite programming language.

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.

Note: Please do check the previous open PRs to avoid adding duplicate algos

Hacktoberfest

Hello folks,

Hacktoberfest has already started!

Still, confused about what to contribute?

• Let's make your task simpler.
  This repository contains many algorithms. Found your favourite problem? Liked the repo? Hit ⭐ button to show support 😄 . Can't see your favourite one? Then send a PR and add any algorithms of your choice(Simple DSA algorithms will be merged as part of this repository but won't be counted as eligible Hactoberfest PR as part of this year rule, so make sure to be creative and add more complex solutions) in your favourite programming language.

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

Note: Please do check the previous open PRs to avoid adding duplicate algos

Eslint link not working

Describe the bug
The Javascript Eslint link doesn't work in Readme

To Reproduce
Steps to reproduce the behavior:

1. Click the Eslint in Readme
2. See error

Expected behavior
Click the Eslint in Readme should redirect the page to the github eslint repo

Feature Request : add learning resources

Describe the solution you'd like
in this project, I haven't seen any resources about tools that make it easy for programmers to run their code in a browser. In addition, a website that provides programming practice questions is also worth adding to this project. For that, I ask to add some websites such as:

• LeetCode
• HackerRank
• Replit (in-browser IDE)

Additional context
Algorithms, data structure, in-browser IDE, learn competitive programming, learn basic programming

Add Agglomerative Hierarchical Clustering Algorithm

I saw you had a tag for machine learning. I need to add Agglomerative hierarchical clustering algorithm that plots dendrogram for a given dataset.

Time and Space Complexity Notes and resources.

Adding notes for Time and Space complexity is crucial.
It is crucial to know the time and space complexity any program we write, It allows us to see if there are any better ways to solve or reduce the time and space complexity

I have compiled a personal notes of mine that has everything one needs to learn about time and space complexity
By adding this to the repository, people using it can refer to the notes to learn time and space complexity in a simple yet precise manner with multiple approaches.

Some alternative I have considered are:
Adding bunch of resource links to YouTube or online material that do a good job of teaching them. We can still do it but notes would just be better as we can use it on the go.

K-Nearest Neighbors python implementation

Is your feature request related to a problem? Please describe.
The idea is to add scripts related to Machine Learning and Artificial Intelligence algorithms, like K-Nearest Neighbors, so it can helps everyone to study ML.

Describe the solution you'd like
Creating a new folder or file for machine learning and implementing a simple K-nearest neighbors algorithm, well explained and documented so it can help people to learn how does it work.

Describe alternatives you've considered
Creating a simple algorithm and then referencing those used by most of us (with libraries like tensorflow). But the idea is to build the algorithm from scratch so the student understands what is going on under the hoods.

Add Road Maps to this repository

Hi All!!
It's Hacktoberfest time!
This year we are planning to add learning paths/roadmaps to this repository

We usually feel the gap between the learning resources and actual implementation which we will be using in the Industry, let's try to fill up the Gap by creating a proper roadmap so that we can do better and help the community.

In the programming world, everything starts from the get to know the Computers and basics of Software Engineering then we move to specific domains like Frontend, Backend, DevOps, and ML/AI. Let's create a learning path to connect the learnings to implementation.

Roadmaps we have in mind:

• Entering the programming world (Specifying the basics of computer, devices, and how the computer understands any language, DS/Algo part is already there better to add only OOPS concepts and attach the algorithm link already present in the repository for practice)
• Getting started with Software Engineering (How to build Software from scratch, explaining the SDLC cycle, different models)
• Languages learning path (Learning paths to deep dive in particular languages)
• Getting to know the frameworks (like React, Django, Vue, Svelte)

Submission Criteria:

• All the relevant resources should be in the Roadmaps folder
• Create a Sub-folder if needed
• Do not only paste the third-party resource link without explaining the concepts, refer to the third-party link only if required
• Do not write big paragraphs, short and precise concepts.
• Are you a fan of hand-written code? Us too! Handwritten notes are most welcome, but not a necessity
• Use proper diagrams where required

Acceptance Criteria:

• The submission is unique, no duplicate submission is allowed
• Minor changes are not a valid Hactoberfest submission like spelling changes, sentence reframing
• The images are clear and readable
• Files should be properly structured

Adding a Roadmap on 'Entering The Programming World'

Is your feature request related to a problem? Please describe.

This issue is with respect to issue #380 and the purpose is to make the pull requests more organized

Describe the solution you'd like

Creating separate issues and pull requests for different roadmaps instead of making multiple pull requests referring to a single issue

This issue is created to submit the "Entering The Programming World" Roadmap