awesome-fullstack
Learn to code: curated list to learn full stack. Includes learning materials and other
https://github.com/anungma/awesome-fullstack
Last synced: 12 days ago
JSON representation
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Computer Networking and Security
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Contribute
- 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
- Backbone
- Mithril
- Webpack
- Gulp
- Inline Styles
- Google Material Design Lite
- Mocha
- Google Analytics
- Crazy Egg
- Landing Page Checklist
- Website Laung Checklist
- Web Components
- Web checklist
- Awesome Design, UI/UX
- 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
- Docker
- Docker Compose
- Digital Ocean
- 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
- Udacity
- ACM introduction to programming contest stanford
- Competitive programming course
- Google Cloud App Engine
- Unreal Engine
- Agular 1
- Ember
- Learn Relay
- Learn Relay
- Agular 2
- 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
- Travis
- Agile Manifesto
- Windows
- Code Review
- OEDB list
- Black Berry
- Construct2
- Web checklist
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Deep Learning-ish
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DNS
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Machine Learning and AI
- Artificial Intelligence Lecture Videos
- Free Machine Learning Books
- Awesome ML
- Andrew Ng Coursera
- Berkeley Intro to AI
- Berkeley Intro to AI 2015 version
- 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
- Open AI Generative Models
- Berkeley Intro to AI 2015 version
- Neural Networks & Deep Learning
- CMU ML course
- Statistical learning theory
- Berkeley ML
- Stanford 229
- Berkeley Deep Reinforcement Learning
- Berkeley ML
- Free Machine Learning Books
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Other Domains in CS
- Elixir/Erlang
- 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 Books
- 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
- Scientific python cheat sheet
- Nengo: simulate large scale brain models
- W3C HTML5 Tutorial
- Everything Html Head
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awesome
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awesome-list
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