Computer Science

这个一个用代码手搓数据库的项目。你可以通过这个项目：学习数据库底层原理和计算机基础。提升技术深度。通过实操来锻炼编程技能。获得一个完整的个人项目。可以用在简历、面试中。项目全面实现了几个最重要的部分：KV 储存引擎。SQL 与关系型数据库。索引与数据结构。虽然范围很广，但是被拆分成了多个小步骤。每个步骤都很简单，最多几十行代码。你会发现，复杂的概念可以从简单的概念演变而来，可以说是从0开始发明数据库。 作者网站上精选了一些类似的资源：程序员如何学习底层技术?可以邮件订阅作者网站。

Mastering Advanced Time Series Forecasting in Python is the definitive sequel to the #1 forecasting bestseller. Designed for practitioners who want to go beyond ARIMA and basic ML, this book takes you deep into probabilistic forecasting, hierarchical coherence, and cutting-edge foundation models—backed by production-ready Python code. Learn how to assess forecastability, build scalable pipelines, quantify uncertainty, and deploy systems that deliver real business impact. Written by a globally recognized expert whose methods power multimillion-dollar decisions, this is the practical, honest, and advanced guide every data scientist, ML engineer, and quantitative professional needs to master modern forecasting.

This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from the Software Diagnostics and Observability Institute and the Software Diagnostics Library (former Crash Dump Analysis blog) about software diagnostics, root cause analysis, debugging, crash and hang dump analysis, and software trace and log analysis written from 15 April 2024 to 14 November 2025.

Embark on an exciting journey to create your very own Multi-Player Rogue-like RPG adventure with the detailed 'Ruins of Able-Wyvern'™ template. This immersive course offers a treasure trove of step-by-step game recipes tailored for both workshop participants and instructors, compatible with either version of Construct Gaming Framework. Dive into the art of crafting this enthralling quest and unlock innovative methods that can be used in a variety of formats and themes—whether as a captivating stand-alone single-page web application (SWPA) or as an engaging 'In-Game Module' (IGM) for your epic fantasy adventures. Join us and unleash your creativity!

Your organization does all the right things. They practice chaos engineering, GameDays, and load testing. They conduct incident reviews and operational readiness reviews. Yet the same types of incidents keep recurring. This book examines why resilience practices so often fail to build resilience, revealing the organizational dynamics that systematically transform learning mechanisms into compliance theater and what you can do to navigate them consciously.

In a world buzzing with terms like ChatGPT, Midjourney, and Copilot, most people still ask one question — What exactly is Generative AI, and how do I use it in real life?“Generative AI Made Simple” is your friendly, practical guide to understanding and applying AI in your daily work and learning. Written for professionals, students, and curious minds, this book explains complex concepts in simple, storytelling language.You’ll learn:What Generative AI really is and how it differs from traditional AIHow to write powerful prompts for better AI resultsUsing AI for writing, creating presentations, images, and videosReal-world applications in business, marketing, education, and moreBuilding your personal AI-powered workflowEthics, governance, and future career trends — including Agentic AI Simple, practical, and full of examples — Generative AI Made Simple helps you stop fearing AI and start using it.

Discover how modern web scraping goes beyond simple scripts. Learn to extract, automate, and transform data from dynamic websites using Python, Playwright, undetected-chromedriver, Chrome DevTools MCP, and AI tools. Packed with hands-on examples and expert tips, this book shows you how to build ethical, scalable, and intelligent scraping workflows that turn raw web content into actionable insights.

A model that wins on MAPE can lose money on the shelf. A 15% accuracy gain can hide a 12% bias. An interval that looks tight can be wrong a third of the time.Forecast metrics are decision instruments, not neutral truth detectors — and most teams are still choosing them by habit. This book shows where MAE, MAPE, sMAPE, WAPE, MASE, RMSSE, CRPS, pinball loss, energy scores, bias measures and cost-based metrics help, and where they quietly mislead.Twelve chapters take you from elicitation and baselines through intermittent demand, probabilistic and hierarchical scoring, and the accuracy–utility gap, to a production evaluation system with monitoring, drift detection, alerting and governance. Every metric arrives with its assumptions, every criticism carries a remedy, and a retrospective Walmart M5 case study runs throughout, with Python listings and reproducibility checks.For demand planners, forecasting data scientists, ML engineers and analytics leads who need evaluation choices they can defend. Measure what matters.

Documentation isn’t just a chore—it’s a craft. And with AI tools at your side, it’s finally scalable, smart, and developer-friendly. Document Like a Developer: Technical Writing with AI Tools is your blueprint for building docs that ship with your code, evolve with your product, and speak your users’ language. Learn how to enforce style guides, automate glossary checks, run documentation sprints, and measure impact with precision. Whether you're a solo dev, a startup team, or scaling across an enterprise, this book gives you the workflows, templates, and mindset to treat documentation like a first-class citizen. Stop writing throwaway manuals. Start building living systems of clarity. The future of technical writing is here—and it’s automated, collaborative, and built for velocity.

Turn uncertainty into a competitive advantage with probabilistic forecasting and Conformal Prediction.

Your API deserves more than just working, it deserves to be exceptional. read more...

Unlocking the Future of Global Logistics The global supply chain is broken — plagued by inefficiencies, opaque processes, and security gaps. This book offers a bold vision for the future: a world where blockchain technology transforms supply chains into transparent, efficient, and secure ecosystems. Written by experienced consultants and academics at the intersection of blockchain and logistics, this guide bridges the gap between complex technology and real-world application. Whether you're a business leader, tech strategist, or curious innovator, this is your practical roadmap to understanding and implementing blockchain where it matters most.

A powerful new book on Conformal Prediction by bestselling author and machine learning expert Valery Manokhin, bridging theory and real-world machine learning. Discover how to quantify uncertainty with statistical guarantees—across deep learning, time series, forecasting, and more. Preorder now before the price goes up.