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Because artificial intelligence generates code in seconds today software engineering matters more than ever. Successful software developers must document system structure, data flow, security boundaries to manage long-term maintainability. Without a clear, thoughtful design framework, AI simply helps teams build a faster, more complex maze of technical debt.
16 章手写一个 CLI Agent。从 Hello World 到 Skill 插件系统,只用 Python 标准库 + OpenAI SDK。每章附真实项目踩坑笔记——来自 git 提交历史的 bug、设计失误和凌晨调试的教训。读完你会理解 Agent 的底层运作方式,而非只是会用某个框架。
Ready to learn Python?Whether you're completely new to programming or looking for a simple introduction to one of the world's most popular programming languages, this book is the perfect starting point.Through practical examples, beginner-friendly explanations, and hands-on exercises
Python, JavaScript, and TypeScript taught side by side — every concept in all three languages, every example pulled from real QA work.
It's a practical book. We're going to build something real together, a University API, and we're going to grow it chapter by chapter until it looks like a system you'd be proud to deploy. We'll start with a few endpoints, give it databases, make it concurrent, lock it down with authentication, wrap it in containers, and finally split it into cooperating services that talk over the network.
We'll stick to five libraries, not because more would be a problem, but because keeping it simple shows how well we can organise things. When you download MNIST with just the standard library, you finally see what a dataset loader was hiding. If you write attention as four lines of NumPy before you ever call a PyTorch module, it's no longer a magic process but just plain arithmetic.
The Python interview guide written from the interviewer's side of the table. 35 chapters. Every benchmark measured. Every line of code verified. What senior engineers actually get asked — and what separates the ones who get the offer.
Python looks the same on the surface, but almost everything underneath has changed. This book brings you up to speed on Python 3.13/3.14, the free threaded build, uv, and the tools working engineers actually use today, with runnable examples in every chapter.
Web Programming with Python and Flask: A Comprehensive Guide provides a structured and practical pathway into modern web development using one of Python’s most flexible and developer-friendly frameworks.Beginning with the fundamentals of web programming, the book guides readers through the complete Flask application-development journey—from installing Python and creating a development environment
Build intelligent AI applications with LangChain using practical, production-ready Python examples. From intelligent agents and retrieval-augmented generation to scalable deployment and observability, this book equips you with the skills and architectural understanding needed to create reliable, real-world LLM-powered systems.
Python is not just a language. It's a way of thinking. 10 chapters. 10 ideas. One journey.
Build and operate production AI platforms on Kubernetes. Learn to manage NVIDIA GPUs, serve and optimize LLMs with vLLM, run training and batch workloads, and design secure, observable, multi-tenant infrastructure for AI at scale.
Infrastructure automation in 2026 is about building intelligent, resilient, and cloud-native systems at scale. Server Automation with Python: The 2026 Edition explores modern Python-driven workflows spanning GitOps, immutable infrastructure, cloud SDKs, chaos engineering, and AI-assisted development, providing practical guidance for creating secure, scalable, and self-healing platforms.
Stop translating Python in your head. Compare ES6/TypeScript and Python side by side and start writing Python with confidence.
Anyone can run INT4 and read off the accuracy drop. This book explains why that number is what it is — building every quantization method from scratch, breaking it on purpose, and measuring the result. Quantization, from the bits up.