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This is a Phi Family of SLMs book for getting started with Phi Models. Phi a family of open sourced AI models developed by Microsoft. Phi models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks
Effective Java（第3版）各章节的中英文学习参考（已完成）
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！
A practical, open-source guide to mastering WorkBuddy through real-world workflows.开源的 WorkBuddy 实战蓝皮书：教程、真实工作流、Skills、MCP、自动化与多智能体实践。
Open source web application to learn JS stack: React, Material-UI, Next.js, Node.js, Express.js, Mongoose, MongoDB database.
The code samples for Learning React by Alex Banks and Eve Porcello, published by O'Reilly Media
跟我一起写Makefile重制版
A book covering the fundamentals of data visualization
Example source code accompanying O'Reilly's "Hadoop: The Definitive Guide" by Tom White
Building a modern functional compiler from first principles.
Data Structure and Algorithm notes. 数据结构与算法/leetcode/lintcode题解/
《系统重构与迁移指南》手把手教你分析、评估现有系统、制定重构策略、探索可行重构方案、搭建测试防护网、进行系统架构重构、服务架构重构、模块重构、代码重构、数据库重构、重构后的架构守护
《快乐的 Linux 命令行》
Code repository for O'Reilly book
The repository host gives no description.
Translated:hammer_and_wrench: :heart: Want to know NixOS & Flakes in detail? Looking for a beginner-friendly tutorial? Then you've come to the right place!
Learn C and build your own programming language in under 1000 lines of code!
A practical guide to building enterprise AI agents across their full lifecycle.
Prompt 编写模式：如何将思维框架赋予机器，以设计模式的形式来思考 prompt
The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)
Jupyter notebooks and other resources for Think Python by Allen Downey, published by O'Reilly Media.
This is the home of O'Reilly's Clojure Cookbook - http://clojure-cookbook.com
The source code for the upcoming qml book
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.