Computers and Programming

Move beyond prompts and learn the design patterns behind modern AI agents.From ReAct and RAG to planning, verification, memory, orchestration, and multi-agent collaboration, LLM Agent Patterns shows you how to build LLM systems that are not only powerful, but structured, reliable, and production-minded. If you want to understand how agentic systems actually work—and how to build them yourself—this book is your guide.

This book introduces students to the fundamentals of Python programming through a structured and practical learning approach. Designed for beginners, the book focuses on problem solving, algorithms, and core programming concepts using clear explanations and hands-on exercises. Readers will learn how to build Python programs step by step while developing computational thinking skills.

AI made creation cheaper. It also made judgment more valuable.Taste: Turning Vibe into Assets in the AI Age shows why the next wave of winners will not simply be the people with the best credentials or the biggest teams, but the ones who can turn instinct, clarity, and initiative into real assets.

Stop treating AI like a deterministic compiler and wondering why your codebase is degrading into hallucinated spaghetti code. Agentic Software Engineering provides the architecture, constraints, and rigorous governance needed to safely transition your team from manual typists to AI Orchestrators.

Your code deserves to be on PyPI. pip install yours is a step-by-step guide to packaging and publishing Python projects — from project structure to your first live release on PyPI.

"AI isn't psychic. It's you, if you had amnesia and had just walked into the office." "I shipped three features today. I wrote perhaps fifty lines of code myself. Some days I feel like a fraud."

You're not failing the job market. The job market is failing you.312 applications. 8 interviews. 0 offers. That's not a resume problem. That's a broken system — and a better strategy.

算法是计算机科学的灵魂，但学习算法往往被抽象的理论推导和零散的代码示例所困扰。本书独辟蹊径，以问题为驱动，以策略为主线，用最通俗的语言讲透贪心、分治、动态规划、回溯等经典算法思想。每个知识点都配有精心挑选的经典例题，并同时提供C++和Python双语言实现，让你在解决实际问题中领悟算法精髓。无论你是备战面试的开发者，还是希望系统提升算法功底的学子，本书都将成为你案头不可或缺的实战指南。

محتاج تفهم التكنولوجيا وتختار جهاز يكون كويس ؟ اظن الكتاب ده هيساعدك

Deep to know hotest open source project ever - OpenClaw.Using vibe coding to build your own claw.

Banyak developer menulis `await Task.Run(...)` tanpa benar-benar tahu apa yang terjadi di balik layar. Berapa banyak thread yang sebenarnya dibuat? Kenapa penggunaan memori tiba-tiba melonjak? Kenapa aplikasi tetap 'hang' padahal sudah menggunakan async/await? "Visualizing C# Concurrency: A Research-Driven Guide" bukan sekadar buku teori. Ini adalah panduan visual yang akan menunjukkan kepada Anda: - Bagaimana .NET Runtime mengatur antrian thread di memori secara visual.- Kenapa lock tradisional bisa membunuh performa aplikasi modern Anda.- Cara melihat "isi perut" async state machine yang selama ini tersembunyi.- Pembuktian performa melalui benchmark nyata, bukan sekadar asumsi. Dilengkapi dengan diagram timeline dan memory map, Anda tidak lagi menebak-nebak performa kode Anda. Anda akan melihatnya sendiri. Jangan hanya menulis kode. Pahami cara kerjanya.Visualizing C# Concurrency — Segera Hadir.

Python has had type hinting support since Python 3.5, over TEN years ago! However, Python’s type annotations have changed repeatedly over the years. In Python Typing: Type Checking for Python Programmers, you will learn all you need to know to add type hints to your Python applications effectively.

Teams are producing more code than ever. Dashboards are green. And something is quietly breaking. AI coding assistants didn't break your development process; they revealed it was already fragile. Reimagine, Don't Retrofit is a field-tested argument that the software development lifecycle itself needs to be reimagined for the AI era, from governance and metrics to team roles and delivery flow.