How to: Programming Languages
- [JavaScript](https://github.com/sorrycc/awesome-javascript#readme)
	- [Promises](https://github.com/wbinnssmith/awesome-promises#readme)
	- [Standard Style](https://github.com/standard/awesome-standard#readme) - Style guide and linter.
	- [Must Watch Talks](https://github.com/bolshchikov/js-must-watch#readme)
	- [Tips](https://github.com/loverajoel/jstips#readme)
	- [Network Layer](https://github.com/Kikobeats/awesome-network-js#readme)
	- [Micro npm Packages](https://github.com/parro-it/awesome-micro-npm-packages#readme)
	- [Mad Science npm Packages](https://github.com/feross/awesome-mad-science#readme) - Impossible sounding projects that exist.
	- [Maintenance Modules](https://github.com/maxogden/maintenance-modules#readme) - For npm packages.
	- [npm](https://github.com/sindresorhus/awesome-npm#readme) - Package manager.
	- [AVA](https://github.com/avajs/awesome-ava#readme) - Test runner.
	- [ESLint](https://github.com/dustinspecker/awesome-eslint#readme) - Linter.
	- [Functional Programming](https://github.com/stoeffel/awesome-fp-js#readme)
	- [Observables](https://github.com/sindresorhus/awesome-observables#readme)
	- [npm scripts](https://github.com/RyanZim/awesome-npm-scripts#readme) - Task runner.
	- [30 Seconds of Code](https://github.com/30-seconds/30-seconds-of-code#readme) - Code snippets you can understand in 30 seconds.
	- [Ponyfills](https://github.com/Richienb/awesome-ponyfills#readme) - Like polyfills but without overriding native APIs.
- [Swift](https://github.com/matteocrippa/awesome-swift#readme) - Apple's compiled programming language that is secure, modern, programmer-friendly, and fast.
	- [Education](https://github.com/hsavit1/Awesome-Swift-Education#readme)
	- [Playgrounds](https://github.com/uraimo/Awesome-Swift-Playgrounds#readme)
- [Python](https://github.com/vinta/awesome-python#readme) - General-purpose programming language designed for readability.
	- [Asyncio](https://github.com/timofurrer/awesome-asyncio#readme) - Asynchronous I/O in Python 3.
	- [Scientific Audio](https://github.com/faroit/awesome-python-scientific-audio#readme) - Scientific research in audio/music.
	- [CircuitPython](https://github.com/adafruit/awesome-circuitpython#readme) - A version of Python for microcontrollers.
	- [Data Science](https://github.com/krzjoa/awesome-python-data-science#readme) - Data analysis and machine learning.
	- [Typing](https://github.com/typeddjango/awesome-python-typing#readme) - Optional static typing for Python.
	- [MicroPython](https://github.com/mcauser/awesome-micropython#readme) - A lean and efficient implementation of Python 3 for microcontrollers.
- [Rust](https://github.com/rust-unofficial/awesome-rust#readme)
	- [Pest](https://github.com/pest-parser/awesome-pest#readme) - Parser generator.
- [Haskell](https://github.com/krispo/awesome-haskell#readme)
- [PureScript](https://github.com/passy/awesome-purescript#readme)
- [Go](https://github.com/avelino/awesome-go#readme)
- [Scala](https://github.com/lauris/awesome-scala#readme)
	- [Scala Native](https://github.com/tindzk/awesome-scala-native#readme) - Optimizing ahead-of-time compiler for Scala based on LLVM.
- [Ruby](https://github.com/markets/awesome-ruby#readme)
- [Clojure](https://github.com/razum2um/awesome-clojure#readme)
- [ClojureScript](https://github.com/hantuzun/awesome-clojurescript#readme)
- [Elixir](https://github.com/h4cc/awesome-elixir#readme)
- [Elm](https://github.com/sporto/awesome-elm#readme)
- [Erlang](https://github.com/drobakowski/awesome-erlang#readme)
- [Julia](https://github.com/svaksha/Julia.jl#readme) - High-level dynamic programming language designed to address the needs of high-performance numerical analysis and computational science.
- [Lua](https://github.com/LewisJEllis/awesome-lua#readme)
- [C](https://github.com/inputsh/awesome-c#readme)
- [C/C++](https://github.com/fffaraz/awesome-cpp#readme) - General-purpose language with a bias toward system programming and embedded, resource-constrained software.
- [R](https://github.com/qinwf/awesome-R#readme) - Functional programming language and environment for statistical computing and graphics.
	- [Learning](https://github.com/iamericfletcher/awesome-r-learning-resources#readme)
- [D](https://github.com/dlang-community/awesome-d#readme)
- [Common Lisp](https://github.com/CodyReichert/awesome-cl#readme) - Powerful dynamic multiparadigm language that facilitates iterative and interactive development.
	- [Learning](https://github.com/GustavBertram/awesome-common-lisp-learning#readme)
- [Perl](https://github.com/hachiojipm/awesome-perl#readme)
- [Groovy](https://github.com/kdabir/awesome-groovy#readme)
- [Dart](https://github.com/yissachar/awesome-dart#readme)
- [Java](https://github.com/akullpp/awesome-java#readme) - Popular secure object-oriented language designed for flexibility to "write once, run anywhere".
	- [RxJava](https://github.com/eleventigers/awesome-rxjava#readme)
 	- [J2ME](https://github.com/hstsethi/awesome-j2me#readme) - Java spe