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https://github.com/krp/education

Repository with useful links for teaching & learning various topics.
https://github.com/krp/education

List: education

awesome-list courses education go learning learning-resources python rust

Last synced: 3 months ago
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Repository with useful links for teaching & learning various topics.

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# education



### Go

* [Go By Example](https://gobyexample.com/)

* [Go Books](https://github.com/dariubs/GoBooks)

* [Distributed Services with Go](https://pragprog.com/titles/tjgo/distributed-services-with-go/)

* [Tiny snippets of Go](https://github.com/GoesToEleven/GolangTraining) - Small snippets of Go code



### Python

* [kirang89/pycrumbs](https://github.com/kirang89/pycrumbs) - pycrumbs: Python snippets

* [asyncio web crawler](http://aosabook.org/en/500L/a-web-crawler-with-asyncio-coroutines.html) - AOSA Book: Web Crawler with asyncio Coroutines



### Rust

* [Learn Rust the Dangerous Way](http://cliffle.com/p/dangerust/) - Rust / C

* [rust-unofficial/awesome-rust](https://github.com/rust-unofficial/awesome-rust) - List of Rust resources

* [rust-lang/rustlings](https://github.com/rust-lang/rustlings) - Rustlings. Small exercises.

* [Low-Level Academy](https://lowlvl.org/) - Low-Level Academy course using Rust.

* [Official Rust Book](https://doc.rust-lang.org/book/) - The best resource for learning it in my opinion.

* [Rust and WebAssembly](https://rustwasm.github.io/book/) - Rust and WebAssembly Book

* [Rust in Easy English](https://github.com/Dhghomon/easy_rust) - Rust in Simple English

* [A Half-Hour to Learn Rust](https://fasterthanli.me/articles/a-half-hour-to-learn-rust) - Short rust tutorial

* [Writing 4 Brainfuck compilers in Rust](https://github.com/pretzelhammer/rust-blog/blob/master/posts/too-many-brainfuck-compilers.md) - A good blog post on writing 4 different types of assembly compilers in Rust

* [Stanford CS140E - Operating Systems in Rust](https://cs140e.sergio.bz/syllabus/) - Stanford course in Operating Systems - [GitHub Resources](https://github.com/dddrrreee/cs140e-20win/)



### Lisp

* [How To Design Programs](https://htdp.org/) - Book on writing programs with Racket / Lisp (v1 was Scheme)

* [An Intuition for Lisp Syntax](https://stopa.io/post/265) - A good short post on Lisp & s-expressions.

* [Simple Lisp Interpreter in Go by Rob Pike](https://github.com/robpike/lisp) - A simple Lisp interpreter in Go by Rob Pike



### Courses



* [Stanford CS242 Programming Languages Fall 2019](http://cs242.stanford.edu/f19/) - LambdaCalc, OCaml, Rust

* [UPenn - CIS198: Rust Programming](http://cis198-2016s.github.io/schedule/) - Rust course 

* [Georgia Tech - Design Operating Systems](https://tc.gts3.org/cs3210/2020/spring/cal.html) - Course on designing operating systems with Rust * Bad reviews on [/r/gatech](https://reddit.com/r/gatech)

* [Awesome Video Courses](https://github.com/Developer-Y/cs-video-courses) - List of video courses.



### Programming Language Creation

* [awesome-compilers](https://github.com/aalhour/awesome-compilers) - List of compiler resources.

* [Crafting Interpreters](http://www.craftinginterpreters.com/) - Open source book by Robert Nystrom on crafting interpreters.

* [munificent/crafting-interpreters](https://github.com/munificent/craftinginterpreters) - GitHub repo for Crafting Interpreters book.

* [TLBHit](https://tlbh.it/) - A podcast on systems & compilers.

* [Writing an Interpreter in Go](https://interpreterbook.com/) - Interpreter creation in GoLang.

* [Writing a Compiler in Go](https://compilerbook.com/) - Compiler creation in GoLang.



### Distributed

* [theanalyst/awesome-distributed-systems](https://github.com/theanalyst/awesome-distributed-systems) - Distributed systems resources

* [rShetty/awesome-distributed](https://github.com/rShetty/awesome-distributed-systems) - List of distributed systems resources

* [gojek/awesome-distributed-systems](https://github.com/gojek/awesome-distributed-systems) - More distributed systems resources

* [zhenlohuang/awesome-distributed-systems](https://github.com/zhenlohuang/awesome-distributed-systems) - And more

* [FedericoPonzi/awesome-distributed-systems](https://github.com/FedericoPonzi/awesome-distributed-systems) - 5th link. These people like to distribute their repos.

* [raft](https://raft.github.io/) - Raft Consensus Algorithm (includes course links)

* [Diego Ongaro's YouTube](https://www.youtube.com/c/DiegoOngaro/videos) - Raft Creator's YouTube channel

* [MIT 6.824 2020](https://pdos.csail.mit.edu/6.824/schedule.html) - MIT's Distributed Systems Spring 2020

* [Eli Bendersky's Raft in Go implementation](https://github.com/eliben/raft) - Implementation of Raft in Go by Eli Bendersky

* [Martin Kleppmann's Book References](https://github.com/ept/ddia-references) - References for Designing Data-Intensive Applications book



### Scalability

* [binhnguyennus/awesome-scalability](https://github.com/binhnguyennus/awesome-scalability) - Scalability resources



### State Machines

* [davidkpiano/xstate](https://github.com/davidkpiano/xstate) - State machines



### Game

* [Game Programming Patterns - Robert Nystrom](https://github.com/munificent/game-programming-patterns) - Game Programming Patterns book on GitHub

* [Harvard CS for GameDev](https://www.edx.org/professional-certificate/harvardx-computer-science-for-game-development) - Harvard CS for Game Dev course  



### JavaScript

* [30 seconds of code](https://github.com/30-seconds/30-seconds-of-code) - JavaScript snippets.



### Web

* [qazbnm456/awesome-web-security](https://github.com/qazbnm456/awesome-web-security) - Web security resources



### Docker

* [docker/awesome-compose](https://github.com/docker/awesome-compose) - docker-compose files



### Artificial Intelligence / Machine Learning / Deep Learning

* [fast.ai course](https://www.fast.ai/) - fast.ai deep learning course

* [mneilsen/neural-networks-and-deep-learning](https://github.com/mnielsen/neural-networks-and-deep-learning) - Code for Neural Networks and Deep Learning book by Michael Neilsen



### Security / Reverse Engineering / Malware Analysis

* [rshipp/awesome-malware-analysis](https://github.com/rshipp/awesome-malware-analysis) - Malware Analysis Resources

* [blaCCkHatHacEEkr/PENTESTING-BIBLE](https://github.com/blaCCkHatHacEEkr/PENTESTING-BIBLE) - 'Pentesting Bible'

* [/r/DataHoarder](https://www.reddit.com/r/DataHoarder/comments/jjaq3e/youtube_deleted_a_channel_that_made_educational/) - YouTube Security Channels



### Cryptography

* [Crypto101 Book](https://github.com/crypto101/book) - Crypto 101 book by lvh.



### Internet of Things (IoT)

* [phodal/awesome-iot](https://github.com/phodal/awesome-iot) - IoT resources

* [HQarroum/awesome-iot](https://github.com/HQarroum/awesome-iot) - More IoT resources



## Academic Papers:



http://lamport.azurewebsites.net/pubs/pubs.html



## Books



* [500 Lines or Less](https://github.com/aosabook/500lines) - Code from AOSA 500 Lines or Less Book



## Courses

* [OSSU - Courses List](https://github.com/ossu/computer-science) - OSSU Courses List (Links to CS courses on coursera, edX, etc)



* [Stanford Computer Security](https://cs155.stanford.edu/syllabus.html) - Stanford Computer Security course



* [PaulSec/awesome-sec-talks](https://github.com/PaulSec/awesome-sec-talks) - Security Talks

* [Stanford - Parallel Computing 2019](http://cs149.stanford.edu/fall19/) - Stanford Parallel Computing 2019

* [Stanford - Intro to Computer Networking 2020](https://cs144.github.io/) - Stanford Computing Networking Course

* [CMU Computer Graphics 15-462/662](http://15462.courses.cs.cmu.edu/spring2022/)



## Career



### Interviews

* [MaximAbramchuck/awesome-interview-questions](https://github.com/MaximAbramchuck/awesome-interview-questions) - List of interview questions for different topics

* [vinta/fuck-coding-interviews](https://github.com/vinta/fuck-coding-interviews)



### Remote

* [lukasz-madon/awesome-remote-job](https://github.com/lukasz-madon/awesome-remote-job) - Remote Job resources



## Design



### Design Tools

* [goabstract/Awesome-Design-Tools](https://github.com/goabstract/Awesome-Design-Tools) - List of design tools



## Misc

* [alebcay/awesome-shell](https://github.com/alebcay/awesome-shell) - Shell/CLI resources

* [veggiemonk/awesome-docker](https://github.com/veggiemonk/awesome-docker) - Docker resources

* [kdeldycke/awesome-falsehood](https://github.com/kdeldycke/awesome-falsehood) - Falsehoods programmers believe in

* [k4m4/terminals-are-sexy](https://github.com/k4m4/terminals-are-sexy) - Terminal resources

* [analysis-tools-dev/static-analysis](https://github.com/analysis-tools-dev/static-analysis) - Static analysis resources

* [facundofarias/awesome-websockets](https://github.com/facundofarias/awesome-websockets) - Websockets resources

* [hjacobs/kubernetes-failure-stories](https://github.com/hjacobs/kubernetes-failure-stories) - Kubernetes Failure Stories

* [mbasso/awesome-wasm](https://github.com/mbasso/awesome-wasm) - WebAssembly resources

* [mmccaff/PlacesToPostYourStartup](https://github.com/mmccaff/PlacesToPostYourStartup) - Places to post your startup

* [AllThingsSmitty/must-watch-css](https://github.com/AllThingsSmitty/must-watch-css) - Must Watch CSS Talks

* [grpc-ecosystem/awesome-grpc](https://github.com/grpc-ecosystem/awesome-grpc) - gRPC resources

* [jakevdp/PythonDataScienceHandbook](https://jakevdp.github.io/PythonDataScienceHandbook/) - Jake VanderPlas' Python Data Science Handbook

* [academic/awesome-datascience](https://github.com/academic/awesome-datascience) - Data Science resources

* [rossant/awesome-math](https://github.com/rossant/awesome-math) - Math resources

* [Interactive Code Challenges](https://github.com/donnemartin/interactive-coding-challenges) - Interactive Code Challenges



## Conferences



* [DEFCON 2020](https://www.youtube.com/watch?v=aLe-xW-Ws4c&list=PL9fPq3eQfaaBk9DFnyJRpxPi8Lz1n7cFv)

* [RSA Asia 2020](https://www.youtube.com/playlist?list=PLeUGLKUYzh_gONkrhv3a2FVnV99PbNlAQ)



## Software Design

* [Jon Ousterhout - Creating Great Programmers](https://www.youtube.com/watch?v=ajFq31OV9Bk)

* Create thick classes (small interface that hides a lot of complexity).

* Define Errors out of existence. Define your system so that there is no error. Minimize the number of places where someone has to worry about an exception.

* Specialization makes classes complicated. Making them generic simplifies things.

* Students should take course as late as possible (e.g. after taking operating systems course).



## Course Platforms

* [KodeKloud](https://kodekloud.com)

* [DeepLearning.ai](https://www.deeplearning.ai/courses/)

* [RoadToReact](https://www.roadtoreact.com/)

* [Egghead.io](https://egghead.io/courses)