- Language Agnostic
- 🆓📘Bash Guide for Beginners
- 🆓📘Advanced Bash-Scripting Guide
- 🆓📘Bash Reference Manual
- 🆓🌐Greg’s BashGuide Wiki — Teaches good practices with simple scripts. Targets beginners with no advance knowledge.
- 🆓🌐Bash Hackers Wiki — Human-readable documentation for GNU Bash.
- 💲📘 C Programming: A Modern Approach — K.N. King’s explanation of C89 and C99 in context.
- 💲📘 Programming in C — An introductory book for programming in C
- 🆓🎓 Harvard’s CS50 MOOC — Introductory course by Harvard on programming using C with no assumed background.
- 💲📘 The C Programming Language, 2nd Edition — The complete guide to ANSI standard C language programming.
- 🆓📘 Tutorials Point’s Learn C Programming — Reference for C and its features.
- 🆓📘 Introduction to C Programming
- 🆓📘 Stanford Computer Science Education Library — Resources on C, UNIX, and other things implemented in C.
- 🆓📘 Beej’s Guide To C Programming — Wonderful and typically entertaining C guide from Beej.
- 🆓📘 Debugging tutorial with
gdb— Knowing how to use a debugger like
- 🆓📘 C Debugging cheat sheet — Good for those times when you want to pull your hair out.
- 🆓📘 Beej’s Guide To Network Programming — A classic reference for POSIX network programming in C/C++.
Search words: c-sharp, csharp
- 💲📘 Rob Miles’ C# Programming Yellow Book is the go-to guide for learning or refreshing C# skills.
- 🆓🎓 Fundamentals for Absolute Beginners
- 🆓🎓 Video Series: Getting Started with Visual Studio & C# .NET with Nerdgasm
- 💲📘 C# in Depth, Fourth Edition by Jon Skeet (http://meta.stackexchange.com/q/9134)
- 🆓🎓 Video Series: Windows 10 development for absolute beginners
Search words: cpp
- 🆓📘 Language Reference — A reference for the C/C++ programming languages.
- 🆓📘 C++ Core Guidelines — Best practices and recommendations for how to write C++, from the creators of the language.
- 🆓🌐 The Definitive C++ Book Guide and List — A list of recommended books for learning C++, ordered by skill level.
- 🆓📘 C++ FAQ — The FAQ about C++ on /r/learnprogramming.
- 🆓🌐 #include <C++> Discord —
#include <C++>is a global, inclusive, and diverse community for developers interested in C++.
- 🆓LearnCpp.com — Free tutorials covering all of C++, for learners of all experience levels.
- 💲🎥 PluralSight C++ Path — High-quality beginner and intermediate videos from Kate Gregory and others. 10-day free trial, with some ways to get an extended trial. Some companies offer free PluralSight accounts to employees as a benefit.
- 🆓🎓 C++ For Programmers — A Udacity course designed for students who are familiar with a programming language and wish to learn C++.
- 🆓🎥 The Cherno’s C++ videos — Highly popular YouTube videos teaching C++.
- 🆓🎥 OneLoneCoder — Videos teaching C++ using a simple game engine that’s easy for beginners to use.
- 🆓🎥 C++ Weekly with Jason Turner — Weekly video series teaching varied modern C++ topics.
- 🆓🎥 CppCon conference talks — The best video presentations the C++ community has to offer. Most content is not beginner material, but may still be of interest to beginners.
- 🆓🎙 CppCast — Weekly podcast with C++ expert guests, covering C++ community news and varied topics.
- 🆓🎙🎥 cpp.chat — Live semi-regular podcast with C++ expert guests, less structured than CppCast.
- 🆓🎙 No Diagnostic Required — Monthly C++ news podcast by Phil Nash and Anastasia Kazakova from JetBrains.
- 🆓🎙 Two’s Complement — Programming podcast by Matt Godbolt and Ben Rady.
- 🆓🎙 Algorithms + Data Structures = Programs — An informal podcast by Bryce Lelbach and Conor Hoekstra about algorithms, programming, and whatever the hosts feel like.
- 🆓📘 Java Platform Documentation — Official Java SE 8 Documentation.
- 🆓📘 Oracle Tutorial — Official Java Tutorial by Oracle.
- 🆓 Software Construction — MIT 6.005: Software Construction. Some programming experience needed.
- 💲📘 Effective Java — For those looking for a deeper understanding of Java, to create clearer, more correct, more robust, and more reusable code.
- 🆓🎥 Derek Banas on YouTube
- 🆓🎓 Java Programming — MOOC taught with Java, part I & II (University of Helsinki).
Search words: JS, ES5, ES6, ES2017
- 🆓📘 JS The Right Way — An overview of JS with a list of additional resources.
- 🆓📘 You Don’t Know JS — Free JS book series written by Kyle Simpson.
- 🆓📘 Hello World in React
- 🆓🎥 Get Quickly in Pace with React.js Development
- 🆓🎓 Essential Concepts
- 🆓🎓 Continuation: Lifecycle Methods, Stateless Components and more
- 🆓🌐 Awesome react
- 🆓📘 Redux doc’s
- 🆓🎓 Dan Abramov’s free course for Redux
- 🆓🌐 React-redux-links
Search words: Cascading Style Sheets
- 🆓📘 Documentation from Mozilla Developer Network
- 🆓📘 A Free Visual Guide to CSS
- 🆓🎓 Free Course: Learn the basics of HTML and CSS
- 🆓🎓 Simple introduction to CSS
- 🆓🎓 Learn CSS from web.dev — From Google Developers.
- 🆓🎮 CSS Grid Garden — A game for learning CSS grid layout.
- 🆓🎮 CSS Flex Froggy — A game for learning CSS flexbox.
- 🆓📘 CSS Reference — A visual representation of all native CSS3 rules.
- 🆓🎓 A simple tutorial — A good introduction.
- 🆓📘 Official PHP Documentation — Select a language on the page.
- 🆓📘 Learn PHP the right way — Free online free book/reference manual.
- 🆓🎓 PHP 7 — Interactive tutorial http://www.tutorialspoint.com/.
- 🆓📘 PSR — A collection of community-made standards and best practices for PHP.
- 🆓📘 Automate the Boring Stuff by Al Sweigart — An introduction to the language focused on showing how Python can help you with tasks around the office today.
- 🆓📘 Think Python 2E — Covers the Python language and thinking like a programmer in detail. Good supplement to what Automate the Boring Stuff does not cover.
- 🆓📘 Hitchhiker’s Guide to Python — A great guide to learning Python practices, setting up dev environments, packaging, and a lot of other information you’re unlikely to learn from a guide or even unlikely to learn without hard experience.
- 🆓🎓 MIT 6.00X MOOC (OCW version)— Introduction to CS and programming using Python.
- 🆓🎓 Georgia Tech CS 1301X MOOC — Introduction to computing in Python. Easier and longer than MIT’s and focuses more on Python.
- 💲📘 Python Crash Course by Eric Matthes — A project-based introduction to Python. Covers the basics of Python, PyGame, data analysis with graphing, and Django.
- 🆓🎥 Corey Schafer on Youtube — Useful Youtube channel with plenty of good quality tutorials.
- 🆓📘 Python Names and Values Article & talk on Youtube about names, values, assignment, and mutability.
- 🆓🎥 Sentdex on Youtube — YouTube introduction to Python with a focus on “basics are boring; learn them quickly and build something.”
- 🆓📘 Official Python Tutorial — The tutorial from the official Python docs.
- 🆓📘 A Byte of Python — Detailed overview of Python syntax and OOP basics with solid examples and explanations.
- 🆓🎙 Talk Python to Me by Michael Kennedy — A weekly discussion about a Python project you should know about, usually with their developers.
- 🆓🎓 Official Django Tutorial - Official tutorial for Django, well regarded.
- 🆓🎓 DjangoGirls Blog Tutorial - Simple and short tutorial about how to make a blog with Django.
- 🆓🌐 What I Wish I Knew When Learning Haskell - A useful collection of knowledge to help new haskell users orient themselves in the ecosystem.
- 🆓🌐 The Haskell Wiki - The official haskell wiki.
- 🆓🌐 Hoogle - A search engine for Haskell.
- 💲🎓 TypeClasses - A subscription service with courses to help you learn haskell.
- 💲📘 Haskell Programming from First Principles - A book to learn haskell programming starting with the foundational mathematical principles of functional programming.
- 💲📘 Programming in Haskell - A short text book to teach haskell programming suitable for undergraduates or developers familiar with procedural or OO languages.
- 🆓🌐 The Haskell Community The haskell community page maintained by haskell.org.
- 🆓🌐 Haskell Discourse Discussion board for the haskell community.
- 🆓🌐 The Haskell Subreddit A popular subreddit about haskell with many learning and discussion resources.
- 🆓📫 Haskell Weekly News A weekly mailing list and podcast with information about haskell and the haskell community.
Search words: Ruby on Rails
- 🆓📘 Official Ruby Core 2.4.1 Documentation
- 🆓🎓 Quickstart Guide: Ruby In Twenty Minutes
- 🆓📘 Cheatsheet/Reference:
- 🆓📘 Learn to Program with Ruby
- 🆓📘 Language Transition: Ruby From Other Languages
- 🆓🎓 Exercise Focused: Codecademy Ruby
- 🆓📘 Ruby on Rails 5: Ruby on Rails Tutorial
- 💲🎓 Ruby on Rails: Learn Ruby on Rails from Scratch
- 🆓📘 The Rust Book — It contains pretty much everything you need to know about Rust.
- 🆓📘 Rust By Example — A nice tutorial for people who already know how to program.
- 🆓📘 The Little Book of Rust Macros — Everything you need to know about macros.
- 🆓📘 Rust Documentation — List of useful Rust documentations, such as: The Rust Language Reference & The standard library API.
- 🆓📘 The Rustonomicon — The Dark Arts of Advanced and Unsafe Rust Programming.
- 🆓📘 Rustdoc Guide — A short guide on rustdoc and how to use it.
- 🆓🌐 Awesome Rust — A huge list of the best crates and tools you could possibly think of!
- 🆓🌐 Rust Books — A collection of books related to Rust.
- 🆓🎓 Discovery — An “introductory course” on microcontroller-based “embedded systems” using Rust.
Data Structures & Algorithms
Search words: DSA
- 🆓📘 Problem Solving with Algorithms and Data Structures using Python By Brad Miller and David Ranum.
- 🆓🎓 Sedgewick’s Coursera Part 1
- 🆓🎓 Sedgewick’s Coursera Part 2
- 💲📘 Sedgewick’s Algorithms in Java
- 💲📘 CLRS/Introduction to Algorithms
Search words: UI, UX, design
- 🆓🎓 CalArts UI/UX Design Specialization — 4-course series on UI/UX design and wireframing with a web-app approach.
- 🆓🎓 Springboard UX Design Curriculum — Aggregator of links to UI/UX tutorials and resources.
- 🆓🎮 Learn Git Branching — Interactive introduction to Git branching and workflow.
- 🆓📘 Pro Git — A start-to-finish book on how to use and understand Git.
- 🆓📘 Flight rules for git — What to do when things go wrong.
Search words: Whiteboard interviews
Always remember that whiteboard interviews are not representative of programming jobs. They are a hazing ritual. Your worth is not determined by their outcome.
- 💲📘 Cracking the Coding Interview — Quickly teaches the most common patterns used in whiteboard interviews and provides copious exercises.
- 💲📘 Programming Interviews Exposed — Also frequently recommended.
- 💲📘 Elements of Programming Interviews — Another choice, and this one is available in several languages.
Search words: ML, Data Science
Warning: Some of these resources are heavy in Mathematics
- 🆓🎓 Columbia University’s Machine Learning course on edX — Excellent resource for those wanting a career in ML/Data Science. Extremely important and practical concepts covered.
- 🆓🎓 Andrew Ng’s Machine Learning course on Coursera — Very popular resource for those less confident with mathematics. Good for hackers, hobbyists and students.
- 🆓🎓 Foundations of Machine Learning by Bloomberg
- 🆓📘 Elements of Statistical Learning — Mathematically rigorous introduction to Machine Learning theory. Recommended for those with strong mathematics backgrounds.
- 🆓📘 Introduction to Statistical Learning — Introduction to Machine Learning for people from non-technical backgrounds and backgrounds in non-quantitative subjects.
- 🆓📘 Deep Learning Book — Ian Goodfellow’s iconic Deep Learning book.
- 🆓📘 3blue1brown’s Neural Networks — Excellent series that visually and intuitively explains the concept behind Neural Networks through visuals and animations.
- 🆓🎥 Stanford’s CS231n - Convolutional Neural Networks for Visual Recognition — Stanford’s Deep Computer Vision course that goes over the advent of CNNs in computer vision, their history and their use in state of the art methods in deep vision. Gets you almost up-to-date on Computer Vision reserach literature.
- 🆓🎥 Stanford’s CS224n - Natural Language Processing with Deep Learning — Stanford’s NLP course going over modern deep learning based methods and architectures.
- 🆓🎓 CCNA/CCENT 200-120 Course
- 💲🎓 Chris Bryant on Udemy — Networking classes from a veteran teacher. Frequently on sale for ~$10 USD each. Some are free.
- 💲🎓 Cisco Certification Track and Syllabus
- 💲📘 Strang’s Introduction to Linear Algebra — Gilbert Strang’s excellent book on introductory linear algebra, excellent place to start on Machine learning.
- 🆓🎓 MIT’s 18.06 - Linear Algebra — Strang’s introductory linear algebra course taught in MIT, with all the lectures and resources available online through OpenCourseWare.
- 🆓🎥 Essence of Linear Algebra — Revolutionary series by Grant Sanderson that focuses on building geometric intuition and understanding of concepts in linear algebra. Extremely useful skill to have. Best paired with a resource that goes over rigorous computation involved in linear algebra, like one of Strang’s resources.
- 💲📘 Stewart’s Calculus series — Excellent series of books that go through the Calculus sequence that many CS/Engineering/Science students have to go through.
- 🆓🎥 Essence of Calculus — Another fantastic series on building geometric intuition, this time on Calculus. Again, best paired with a rigorous academic resource.
- 🆓🎥 Android Basics — A video series on how to develop Android applications by Google (check out the course description for full list of courses).
- 🆓📘 Android Developer Guides — The official documentation on how Android platform works.
- 🆓🌐 Opensource.com — What exactly is ‘Open Source’? Get a gentle overview.
- 🆓🌐 Opensource.guide — Answers common questions about open source software topics, like its legality and how to get paid.
- 🆓🌐 “Finding open source projects to contribute to” from GitHub — Ready to find an open source project to contribute to?
- 🆓🎙 #causeascene — A show focused on the strategic anti-racist disruption of the status quo in technical orgs, communities & events.
- 🆓🎙 Ladybug Podcast — An all lady-hosted tech podcast for all developers.
- 🆓🎙 Programming Throwdown — Every show covers a new programming language and assorted tech topics.
- 🆓🎙 Coding Blocks — Pragmatic talk about software design best practices: design patterns, software architecture, performance, object oriented programming, and more.
- 🆓🎙 Coder Radio by Jupiter Broadcasting — Weekly discussion about software development and related technologies. (retired)
- 🆓🎙 Talk Python to Me by Michael Kennedy — Interview podcast that brings on guests working on niche Python projects you should be aware of.
- 🆓🎙 whiletruefm — Technology discussion podcast formed by ProgDisc users. (retired)
- 🆓📘 The Architecture of Open Source Applications — Authors of dozen open source applications explain how their software is structured, and why.
A good test (by samwho):
- Tests functionality in your code, not the framework or language you’re using.
- Tests for a single thing and a single thing only.
- Will not break when the implementation of what’s being tested is changed.
- Does not depend on anything from the outside world, and leaves nothing behind when it’s done.
- 💲📘 Beautiful Testing — Essays that break down testing as a philosophy, as a process, and as aided by good tools.
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