awesome-fullstack
¯\_(ツ)_/¯ Learn to code: curated list to learn full stack. Includes learning materials and other resources~
https://github.com/kevindeasis/awesome-fullstack
Last synced: 3 days ago
JSON representation
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Contribute
- Windows
- Construct2
- OEDB list
- Docker
- Docker Compose
- Compose
- Checklist
- Linux
- **NewSql**
- Digital Ocean
- MIT 6.824
- Ed X
- Washington CSE 452
- Agile Manifesto
- Software Development Process
- Software Requirements Specifications
- Software Requirements
- Code Review
- Foundations of Data Science
- Hacker Rank
- Udacity
- ACM introduction to programming contest stanford
- Competitive programming course
- How to Contribute to an Open Source Project on GitHub
- How well do you know display
- Backbone
- Mithril
- Webpack
- Gulp
- Inline Styles
- Google Material Design Lite
- Front End Developer HandBook
- Css animation for beginners (Youtube)
- Mocha
- Google Analytics
- Crazy Egg
- Landing Page Checklist
- Website Laung Checklist
- Web Components
- Web checklist
- Design Resources in HH Design
- Optimization
- Search Engine Optimization
- Android
- Ios Swift - ios)
- Black Berry
- Amit's Gaming Programming Information
- Unity
- Playmaker
- 2D resources
- 2D unity rpg tutorial
- GraphQL
- C++
- C# / Dotnet
- Java
- PHP
- Python
- Scala
- Awesome REST
- HTTP API Design Guide
- Testing
- Blogs
- Postman
- Wire shark
- Salt
- Chef
- Travis
- Agile Manifesto
- Agular 1
- Ember
- Google Cloud App Engine
- Unreal Engine
- Learn Relay
- Learn Relay
- Awesome Design, UI/UX
- Web Components the right way
- Amit's Gaming Programming Information
- Stencyl
- Arduino
- Raspberry Pi
- Awesome Electron
- C
- Awesome API
- Self Hosting
- **Data Mining**
- MIT 6.824
- Awesome Distributed Systems
- Vagrant
- Terraform
- Software Requirements
- ACM introduction to programming contest stanford
- Agular 2
- **Data Sets**
- Code Review
-
Other Domains in CS
- msdn
- codeacademy
- Professor Messer (Youtube)
- Statistics Self Study
- Statistics for hackers
- Statistics without pain
- Programming Paradigms
- Khan Academy
- Free Code Camp
- Code Academy
- Shayhowe
- Mozilla
- Khan Academy
- Free Code Camp
- Learn Layout
- Egghead
- msdn
- Awesome FlexBox
- Free Code Camp
- egghead
- Stackoverflow Resource
- Free code camp
- Reddit learnjs
- Codementor
- Awesome JS:Browser
- awesome react
- Awesome React Native
- Egg Head
- JS coach
- StackOverflow Erlang
- Go Wiki
- Stack Overflow Go
- Awesome Go
- LearnCode.Academy
- node tuts
- Ruby by markets
- Stackoverflow Ruby Resources
- Online Course: Computer Networking Playlist
- Beej's Guide to Network Programming
- LearnCode.Academy: How the Internet Works
- Eli the computer guy on youtube: Networking
- danscourses: youtube channel
- Professor Messer
- Andrew Crouthamel (Youtube): CCNA/CNET
- Router Alley Guides
- Stanford
- Warriors of the net: Video
- Tuts +: HTTP
- MIT
- Subnetting Practice
- Reddit CCNA
- Subnet made easy
- Cisco from scratch
- Cisco Learning Network
- Cloud Computing
- Cloud Networking
- Internet Emerging Tech
- Awesome Books
- Elixir/Erlang
- Stackoverflow Ruby Resources
- React Native
- Scientific python cheat sheet
- Nengo: simulate large scale brain models
- W3C HTML5 Tutorial
- Everything Html Head
- w3c
- FlexBox
- Awesome CSS
- w3c
- codeschool
- Stackoverflow Resource
- AirBNB: JS Style Guide
- YDKSJS
- ES6
- Awesome JS:Learning Guide
- awesome redux
- Art of Node
- Tutorials Point
- node tuts
- node.Js best practices
- awesome nodejs
- Ruby by dreikanter
- Ruby by Sdogruyol
- Awesome Rails
- Online Course: Computer Networking Playlist
- Eli the computer guy on youtube: Networking
- Andrew Crouthamel (Youtube): CCNA/CNET
- Router Alley Guides
- Cheat SHeet
- Load Spinners
- Awesome Go China
-
Computer Networking and Security
- white truffle
- Showcases
- Alligator Egg: lambda calculus
- Web Scraping in 2016
- HN Discussion
- mining software repos
- Data mining books
- Hardware AUtopsy using gameboy
- LaTeX / PDF
- Git
- Text Editor
- System Programming
- Awesome awesomeness
- Stock Stuff
- Awesome Hack
- Stupid Hackathon
- Hacker Rank
- Hack the North
- World Hackathon Day
- Dart Lang Hackathon
- Stackoverflow: A new technical resume
- Resume and Cover Letter Sample
- Aline Lerner
- Json Resume
- Resume Monk
- David Byttow Post
- David Byttow Post #2
- Dan Pupius
- Philip Youssef
- Carlos Bueno facebook
- leet code
- codwars
- topcoder
- quora
- haseebq
- haseebq
- android interview
- land an autonomous vehicle job
- we work remotely
- betakit
- stackexchange amortized vs average
- salary negotiation
- awesome remote job
- who is hiring
- who is hiring
- stay in tech
- triple byte
- job hero weekly
- simply hired
- lever
- remote bas
- remotive io google docs
- stackoverflow
- github
- smarthires
- white truffle
- curated opportunities for advanced engineers
- Commands for different operating system
- Horizon
- Lambda
- Martin Fowler
- osgeo posgis wiki: Postgis
- Methods and Tools
- AWS Elastic Beanstalk
- FreeCode Camp
- Codyhouse
- hired in tech
- software engineering daily
- dropbox
- Data mining books
- LaTeX / PDF
- APIs
- Resume and Cover Letter Sample
- Aline Lerner
- Json Resume
- Enhance CV
- Resume Monk
- careercup
- Carlos Bueno facebook
- haseebq
- haseebq
- average vs amortized
- salary negotiation
- hired
- remote teams
- betakit
- Ryan Lindfield
- Bostongis: Postgis
- Git tips
- stefan github extensions
- awesome tooling and resources in chrome devtools ecosystem
- Lambda
- Unit Testing
- Martin Fowler
- Integration Testing
- Smoke Testing
- Regression Testing
- Acceptance Testing
- Systems Testing
- Flagging Test
- End to End Testing
- Awesome Sql
- Setting Up SQL/ PostgreSQL
- Boundless geo: Postgis
- Archaeogeek: Postgis
- Dublin Institute: Postgis
- osgeo posgis wiki: Postgis
- Postgis in action: Postgis
- NoSql Data Modelling Techniques 2012
- Bash Academy
- Sysadmincats
- Smart Bear
- Fog Creek
- Methods and Tools
- LearnCode.Academy: Docker
- Awesome AWS
- App Engine
- Open Shift
- Blue Minx
- 621+ Programming Resources
- Khan Academy
- Coursera
- Udacity
- Udemy
- Codementor
- Blog about beginner open source
- Code Triage
- highscalability
- hired in tech
- software engineering daily
- dropbox
- Trending
- Children's Illustrated guide to Kubernetes
- Dan Pupius
- Pusher
- Dan Pupius
- Dan Pupius
- Dan Pupius
- Dan Pupius
- Dan Pupius
- Dan Pupius
- Dan Pupius
- Dan Pupius
- Dan Pupius
- Dan Pupius
- Dan Pupius
- Heroku
- Dan Pupius
- CD
- Dan Pupius
- Dan Pupius
- web scraping
- Dan Pupius
- Dan Pupius
- Dan Pupius
- Dan Pupius
- Micro Service
- highscalability
- Dan Pupius
- Dan Pupius
- Dan Pupius
- Top Coder
- Dan Pupius
- Dan Pupius
- Dan Pupius
- Dan Pupius
- Dan Pupius
- Data mining
- Dan Pupius
- Dan Pupius
- Dan Pupius
- Dan Pupius
- Philip Youssef
- Pubnub
- Dan Pupius
- Dan Pupius
- Awesome courses
- Dan Pupius
- Dan Pupius
- UPlabs
- Stupid Hackathon
- curated opportunities for advanced engineers
- Awesome command line
- Art of command line
- Syntax Highlighting
- github desktop
- xhacker github extensions
- Bostongis: Postgis
- Awesome RethinkDB by analytik
- Awesome RethinkDB by d3viant0ne
- Amazon Web Services — a practical guide
- awesome continuous integration and delivery
- awesome sysadmin
- Docker cheat sheet
- Azure
- W3 Schools
- awesome x 3
- Front End
- UPlabs
- Parallax
- Waypoints
- Scroll Magic
- Superscrollorama
- Scroll Reveal
- Typography: Guttenburg Kit
- Distorted Button Effect
- Velocity js animation (svg support)
- Snap.svg
- Reveal
- Robo Browser
- Daydream
- awesome newsletters
- Selinux coloring book
- Web Scraping in 2016
- Data mining algorithm
- stackshare
- Awesome
- Hacking
- Stupid Hackathon
- World Hackathon Day
- Resume Monk
- andreis curated guide
- Dan Pupius
- Philip Youssef
- topcoder
- awesome interview questions
- angel list
- nomad list
- remote teams
- remoteok
- curated opportunities for advanced engineers
- Nightmare JS
- Web Scraping in 2016
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Machine Learning and AI
- Berkeley Deep Reinforcement Learning
- Artificial Intelligence Lecture Videos
- Free Machine Learning Books
- Awesome ML
- Andrew Ng Coursera
- Berkeley Intro to AI
- Udacity Intro To ML
- MIT 6.034
- Neural Networks & Deep Learning
- Machine learning books by r/MachineLearning
- Machine learning by r/MachineLearning/wiki/index
- CMU ML course
- Statistical learning theory
- Berkeley ML
- Berkeley Intro to AI 2015 version
- Open AI Generative Models
- Berkeley Intro to AI 2015 version
- Neural Networks & Deep Learning
- CMU ML course
- Statistical learning theory
- Berkeley ML
- Stanford 229
-
Deep Learning-ish
-
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