Jargon from the functional programming world in simple terms!
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Jargon from the functional programming world in simple terms!
TranslatedHow programmers can elegantly earn pocket money, version 2.0, upgraded into a small book. Most of this not work outside China , so no English translate
TranslatedIllustrated computer networks, operating systems, computer organization, and databases, with 1,000 diagrams + 500,000 characters, breaking down obscure and hard-to-understand computer fundamentals, so that no "bagu wen" (standard interview question essays) is hard to understand in the world! 🚀 Read online: https://xiaolincoding.com
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
These are the best resources for System Design on the Internet
Clean Architecture Solution Template: A proven Clean Architecture Template for ASP.NET Core 10
📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
Free resources for learning Full Stack Web Development
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Roadmap to becoming a Go developer in 2020
All the resources you need to get to Senior Engineer and beyond
Everything you need to prepare for your technical interview
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
TranslatedThe Ultimate Guide to Making Money with AI Side Hustles: Learn how to leverage AI for some cool side gigs and rake in some extra cash. Check out the English version for more insights.
machine learning and deep learning tutorials, articles and other resources
A collection of full time roles in SWE, Quant, and PM for new grads.
FastAPI Best Practices and Conventions we used at our startup
Algorithms and Data Structures implemented in Go for beginners, following best practices.
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Build the best interview map. The current content includes JS, network, browser related, performance optimization, security, framework, Git, data structure, algorithm, etc.
💿 Free software that works great, and also happens to be open-source Python.
A collection of ZSH frameworks, plugins, themes and tutorials.
Awesome LeetCode resources to learn Data Structures and Algorithms and prepare for Coding Interviews.
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models