A collection of tips to help take your CSS skills pro. 🕹
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- css3
- css-tricks
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A collection of tips to help take your CSS skills pro. 🕹
:memo: An awesome Data Science repository to learn and apply for real world problems.
A simple guide to HTML <head> elements
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
This repository is maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), AI security, vulnerability research, exploit development, reverse engineering, and more. 🔥 Also check: https://hackertraining.org
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Python best practices guidebook, written for humans.
If you want to become good at AI engineering & system design, join this newsletter 👇
A set of best practices for JavaScript projects
🎨 A curated list of delightful VS Code packages and resources.
A curated list of awesome Deep Learning tutorials, projects and communities.
Algorithms and data structures in Swift, with explanations!
Helping you select a JavaScript framework - Todo apps for React.js, Angular, Vue and many more
A complete daily plan for studying to become a machine learning engineer.
Questions to ask the company during your interview
:snowman: Possibly the smallest compiler ever
A curated list of awesome actions to use on GitHub
Translated:see_no_evil: Programmer job-hunting blacklist: be careful when changing jobs or becoming a technical co-founder. Updated with 有赞 (Youzan)
Curated list of Go design patterns, recipes and idioms
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Learn Low Level Design (LLD) and prepare for interviews using free resources.