TranslatedA comprehensive summary of computer fundamentals interview questions (computer networks / operating systems / databases / Git...), including detailed follow-up questions and answers; everything is in the form of [question + follow-up + answer], ready to use right away and aimed directly at interviews at major internet companies; can be used for mock interviews, review before interviews, and preparing quickly for interviews in a short time...
A resource repository for 3D machine learning
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
Sample code illustrating the VS Code extension API.
A set of exercises to prepare for Certified Kubernetes Application Developer exam by Cloud Native Computing Foundation
🌄 The Cloud Native Interactive Landscape filters and sorts hundreds of projects and products, and shows details including GitHub stars, funding, first and last commits, contributor counts and headquarters location.
The repository host gives no description.
Obsessive cheat sheet to favicon sizes/types.
:snowflake: a short introduction to node.js
The Generative AI Landscape - A Collection of Awesome Generative AI Applications
A curated list of data engineering tools for software developers
A curated list of Web Performance Optimization.
AI,Opensource,Database,Business,Finance,Minds. git clone --depth 1 https://github.com/digoal/blog
🚨 Collection of Prometheus alerting rules
The Google Cloud Developer's Cheat Sheet
🔍 A collection of interesting, funny, and depressing search queries to plug into shodan.io 👩💻
🗺 The Android Developer Roadmap offers comprehensive learning paths to help you understand Android ecosystems.
Clean Architecture template for Golang services
Learn You The Node.js For Much Win! An intro to Node.js via a set of self-guided workshops.
- workshopper
- nodeschool
- nodejs
- learn-to-code
A list of web application security
TranslatedOpen-source manuscript of 《深入理解 AI Infra：量化分析与系统设计》 (In-Depth Understanding of AI Infra: Quantitative Analysis and System Design), by 李博杰 (Li Bojie): starting from hardware constraints and model architecture, it quantitatively derives the system design of LLM inference and training. Includes the full text of the book, a PDF, and companion calculation tools and experiments
- accelerator
- ai-infra
- ai-infrastructure
- book
JavaScript talks you have to see 👀 on functional programming, performance, frameworks, React, debugging, leveling up, and more!
A curated list of resources for learning about application security
- security-experts
- reading-list
- curated
- application-security
A free, online learning platform to make quality education accessible for all.