⌨️️️programming - 🟧Sourceful
Let's get more girls into coding.
A list of organizations making the world of code more accessible - some focus on "girls", some target all children/all ages If you are interested in a specific course, please contact the organization directly.
How to Learn CS + Become a full-stack web Software Engineer
Learn CS and How to be a Software Engineer - data structures, algorithms and beyond
Summary: How to Start a Startup (YC)
startup, programming, guide, VC, founder
A summary of blog posts, videos and podcasts from Y Combinator accelerator on how to successfully start a startup. Condensed to the bullet point format, covers topics like finding product/market fit, hiring, raising money, competition, growth and anything else you might want to consider.
YeahSheWrites Coding Road Map
A beginner friendly document with resources to start learning to code - created by @yeahshewrites who became a software engineer and wanted to share tips on how to get started in the tech industry
Jason's Machine Learning 101
The culmination of almost 2 years of head banging, so you don't have to. The one stop shop to get answers to common questions you may have around Machine Learning: * What is it and what types of ML exist? * How does it work? * How can it be used? * Where is it heading?
Kubernetes Ingress Controllers
How do you choose the *right* Kubernetes Ingress controller when: - Not all Ingress controllers support UDP - Only Kong has a free LDAP integration - Nginx Ingress and HAProxy are the only two ingress without CRDs Here is a comparison.
Math for Game Devs 2020
A math course by Freya Holmér for students at FutureGames: includes calculation lessons about scalars, vectors, spaces, matrices, mesh surface area and other topics
Demystifying the Server Side
A presentation explaining a lot of concepts related to software development of the back end - API calls, URL components, servers, etc.
ML Visuals by dair.ai
ML Visuals - over 100 fully customizable figures (all open community contributions) that you can freely use for your next machine learning or deep learning paper, blog post, thesis, or presentation