Coding articles to level up your development skills
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Coding articles to level up your development skills
Translated📚 "Building Agents from Scratch" — A tutorial on agent principles and practice, starting from zero
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
Examples and guides for using the OpenAI API
from vibe coding to agentic engineering - practice makes claude perfect
📜 33 JavaScript concepts every developer should know.
TranslatedBypass the Great Firewall - scientific internet access
100 Days of ML Coding
Bootstrap Kubernetes the hard way. No scripts.
30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days. This challenge may take more than 100 days, please just follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
Learn regex the easy way
🤪 A list of funny and tricky JavaScript examples
What the f*ck Python? 😱
TranslatedThe original of this article was written by the well-known hacker Eric S. Raymond. It teaches you how to ask technical questions correctly and get answers you are satisfied with.
Translated📚 Building large models from scratch
An interactive git visualization and tutorial. Aspiring students of git can use this app to educate and challenge themselves towards mastery of git!
Translated"开源大模型食用指南" (Open-Source Large Model Usage Guide): a tutorial tailor-made for Chinese users on quickly fine-tuning (full-parameter/LoRA) and deploying domestic and international open-source large language models (LLM) and multimodal large models (MLLM) in a Linux environment
An evolving how-to guide for securing a Linux server.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
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.
TranslatedQiangu's illustrated front-end tutorials, an extremely detailed knowledge base from beginner to advanced front-end. Learn front-end from scratch and become a refined and elegant front-end engineer.