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