A collection of tips to help take your CSS skills pro. 🕹
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- 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.
⛔️ 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
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
A curated list of awesome Deep Learning tutorials, projects and communities.
Algorithms and data structures in Swift, with explanations!
TranslatedLearn step by step: Spring Boot, Spring Boot & Shiro, Spring Batch, Spring Cloud, Spring Cloud Alibaba, Spring Security & Spring Security OAuth2. Source code for the blog's Spring series: https://mrbird.cc
A complete daily plan for studying to become a machine learning engineer.
A curated list of awesome actions to use on GitHub
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 ;)
Translated🔥🔥Over 1,000 classic computer science books, personal notes, and the resources mentioned in articles I have published on various platforms, etc. The book resources include C/C++, Java, Python, Go, data structures and algorithms, operating systems, backend architecture, computer systems knowledge, databases, computer networks, design patterns, frontend, assembly, and all kinds of interview experience write-ups for campus recruitment and experienced-hire recruitment~
😱 Falsehoods Programmers Believe in
30 Days of React challenge is a step by step guide to learn React in 30 days. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Useful resources for creating apps with Electron [SUBMISSIONS ARE TEMPORARILY PAUSED BECAUSE I'M TIRED OF REVIEWING LOW-QUALITY STUFF]
Translated:star2: Wiki of OI / ICPC for everyone. (An online walkthrough for a certain large game, containing cool arithmetic magic)
👨🎓 Java Core Sprout : basic, concurrent, algorithm