Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
- agent
- claude-code
- teaching
- agent-development
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📜 33 JavaScript concepts every developer should know.
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
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
TranslatedThe place where 冴羽 (Yu Saeba, "Saeba Yu") writes his blog; he plans to write four series: an in-depth JavaScript series, a JavaScript topics series, an ES6 series, and a React series.
- blog
- javascript
- advanced
How to create an OS from scratch
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
- challenge
- javascript
- js
- react
📗🌐 🚢 Comprehensive and exhaustive JavaScript & Node.js testing best practices (August 2025)
🛠️⚡ Step-by-step tutorial to build a modern JavaScript stack.
Modern Java - A Guide to Java 8
- java-8
- tutorial
- lambda-expressions
- java
a collection of simple demos of React.js
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
:satellite: Simple and ready-to-use tutorials for TensorFlow
- tensorflow
- python
- deep-learning
- deep-learning-tutorial
📚 Community guides for open source creators
- open-source
- oss
- best-practices
- tutorial
Translatedflink learning blog. http://www.54tianzhisheng.cn/ Covers Flink introduction, concepts, principles, hands-on practice, performance tuning, source code analysis, and more. Includes learning examples involving Flink Connector, Metrics, Library, DataStream API, Table API & SQL, and also shares large-scale project cases of Flink in production (PV/UV, log storage, real-time deduplication of 10 billion records, monitoring and alerting). You are welcome to support my column 《大数据实时计算引擎 Flink 实战与性能优化》 ("Big Data Real-Time Computing Engine Flink: Hands-On Practice and Performance Optimization")
The complete guide to static typing in "React & Redux" apps using TypeScript
TranslatedMachine learning tutorials
This guide details creating a secure Linux production system. OpenSCAP (C2S/CIS, STIG).
How to systematically secure anything: a repository about security engineering
- security-engineering
- security-architecture
- secure-systems
- threat-modeling
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Full Stack Web Development with Flask.
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
TranslatedCAPTCHA recognition
- captcha-breaking
- keras-tutorials
- deep-learning
- keras
Handout for the tutorial "Creating publication-quality figures with matplotlib"