Learning Resources for Code Larks
Our Top Recommendations for Courses, Certification Paths, Tools, and More!
To help you start start each day and find a path that’s right for you, we’ve put together this compilation of learning resources and tools.
This is the list we would have loved to have had earlier in our journey. The goal is for this to continually grow and evolve, as we will be adding helpful resources on a regular basis. Please shoot us a message in Slack or directly via our contact page if you have recommendations you think we should add. Thanks!
Before you dive into these awesome resources, please note: Some of the links below are affiliate links. This means that if you click on the link and purchase the recommended item, I will receive an affiliate commission. Regardless, I only recommend products and services that I use personally and believe will add value to the Code Larks community and any readers of the Code Larks blog. Please do not spend money on these items unless you feel that they are a good fit for you and that they will help you achieve your goals.
Tools To Help You Start the Day Right
(We are not an affiliate of Headspace; we just think their meditation programs are awesome!)
Text Editors, Terminals, & Playgrounds, Oh MY!
iTerm2 – A Terminal Emulator for macOS
CODE PLAYGROUNDS
Helpful Dev Links
Mozilla Developer Network (MDN)
Dev Docs – An Open Source Compilation of Helpful Documentation
HTML5: The Living Standard (developer’s edition)
Courses
FREE
Watch and Code – Practical JavaScript
FREE & PAID
PAID
Tyler McGinnis Courses – Learn React
If you feel like any of these OneMonth.com courses are a good fit, use the following links to get 10% off!:
Interview Prep – Practice Problems, Books, & Video Training
PRACTICE PROBLEMS
BOOKS & VIDEO TRAINING
The Imposter’s Handbook – Rob Conery
Mission: Interview – Rob Conery (Code Interview Practice & Training Videos)
Algorithm & Computer Science Training
Introduction to Algorithms (3rd Edition) – Cormen, Leiserson, Revest, Stein (Textbook)
Kahn Academy’s Algorithms Course
4 Semesters of Computer Science in 5 Hours – Course by Brian Holt