Books

Bad data breaks good code. You’ve written Python that works perfectly in testing, only to watch it fail in production because of a malformed API request, a messy CSV, or a missing config value. That’s the hidden cost of Python’s flexibility: without runtime validation, you’re always one bad input away from a crash. Enter Pydantic. This book takes you from the foundations of data validation to real-world applications in APIs, data pipelines, configurations, and machine learning workflows. Along the way, you’ll explore practical techniques, advanced features, and alternatives like Marshmallow, attrs, and dataclasses, so you’ll always know which tool is right for the job. If you’re a Python developer, data engineer, or FastAPI user, this is your roadmap to writing safer, cleaner, and more reliable code.

The book contains the full transcript of Software Diagnostics Services training with 16 hands-on exercises on various topics related to Linux API.

Whether you're a seasoned Python developer, a non Python programmer venturing into Python's vast landscape, a full stack developer looking to improve your backend skills, or a new web developer starting out, this book is for you. "Practical Python Backend Programming" is a path towards designing and deploying powerful and efficient applications.

Software and infrastructure only create value when they pull in the same direction as the business. This book shows IT leaders how to get there: from shaping IT strategy and the architecture roadmap to the daily discipline of IT and architecture governance, all built on a pattern-based approach that adapts to your organization rather than forcing it into a template.Grounded in established frameworks such as TOGAF, COBIT, and ITIL, it pairs solid fundamentals with numerous real-world examples — and gives growing weight to compliance and IT security, now central concerns of any IT management agenda.This English edition is based on the German standard work on the subject, fully revised in its 4th edition (late 2024). It is current with TOGAF 10 and reflects recent developments in business-oriented enterprise architecture — including the open-source tool EDGY and patterns for digital strategy — alongside the latest trends in IT risk management and cybersecurity architecture.

Want to Publish Your Own NPM Package Like a Pro? Learn how to build, test, and share your vanilla JavaScript code with the world—step by step. CodeSweetly’s “Creating NPM Package” breaks down the library publishing process into simple, actionable steps—from project setup to automated publishing and version management. Build with confidenceTest like a proPublish with easePerfect for devs who want to level up their open-source game. Ready to ship like a pro? Get the book now. Printed copies are also available on Amazon.

This book provides a cookbook of guidelines on designing beautiful (simple to use) and practical (simple to implement) RESTful API.

Whether you’re exposing APIs to partners, building microservices, or connecting legacy systems, API Gateways sit at the heart of your infrastructure. This book takes you step by step through architecture, security, traffic control, OpenAPI validation, and real-world deployment. With vendor-neutral guidance and practical examples using the open-source Membrane API Gateway, it’s a hands-on resource for API developers, architects, and platform teams.

Every web application has security headers, cookies, TLS configurations, and CORS policies that need to be correct. Most teams find out they're wrong only after a penetration test — or worse, after an incident. This book shows you how to build a scanner that catches these issues automatically. You'll create a Python CLI tool that uses Hurl (declarative HTTP testing) to assert security properties, SSLyze to validate TLS protocol versions, and AI to generate specific remediation for every failure it finds. The output: structured JSON reports, visual HTML dashboards, and AI-generated security posture assessments. **What you'll build:** - 9 declarative Hurl security test files (headers, cookies, CORS, HSTS, CSP, CSRF, redirects, TLS) - A preprocessor that handles domain substitution and authentication - An output parser with built-in remediation guidance for every test - A TLS scanner validating SSL 2.0/3.0 disabled and TLS 1.2/1.3 enabled - An AI analyzer that generates context-specific fixes using Ollama, OpenAI, or Bedrock - An HTML reporter with dark-themed visual dashboards - Docker multi-architecture deployment - CI/CD pipeline with GitHub Actions **Who this is for:** - Developers who want security checks before deploying - DevSecOps engineers building CI/CD security gates - Penetration testers who need quick baseline assessments - Security students learning web vulnerability concepts hands-on - Platform teams enforcing security standards across services Every failure includes: what was expected, what was received, why it matters, how to fix it, and a documentation link. AI adds domain-specific code examples on top.

# 🚀 Master the Math Behind Artificial Intelligence! Stop drowning in complex textbooks. This premium, high-density **AI Math Cheat Sheet** is engineered specifically for Data Scientists, ML Engineers, and Python Developers who want to bridge the gap between mathematical theory and production-ready code. --- ### 🎯 What’s Inside: * **Core Concepts:** Comprehensive coverage of 11 essential topics, from basic statistics (Mean, SD) to advanced Linear Algebra (Determinants, Eigenvalues & Vectors).* **Exact Formulas:** No guesswork—clear, high-quality mathematical representations of every concept.* **Production-Ready Python Code:** Clean, optimized NumPy snippets (`np.linalg`, matrix operations, and activation functions) that you can copy and paste directly into your projects.* **Real-World AI Applications:** Learn *why* and *where* each concept is used (PCA, Backpropagation, Forward Pass, and Loss Functions). --- ### 💻 Perfect For: * **Interview Preparation:** Quick review of Machine Learning & Data Science mathematical questions.* **Developers & Coders:** A handy quick-reference sheet to keep open on your screen while coding in Python.* **Students & Self-Taught Learners:** Anyone looking for absolute clarity without the academic fluff. --- *Format: High-quality, scalable PDF (Perfect for mobile, tablet, and desktop reading).* **Grab your copy today, support independent creators, and accelerate your AI journey! 🎯**

This ebook is written based on my personal experience and research to find a solution to use local models with limited infrastructure to expose their API for industrial scaling.

What you've got here is a hands-on walkthrough of Spring Boot 4.0, where we'll build a single application from start to finish, using the command line and then packaging it as a JAR at the end. Each chapter adds one real capability, like a REST endpoint, a database, an error handler, a security layer or a test suite. Each chapter gets straight into the code, and you can run, modify and break it to see what happens.There's even a dedicated troubleshooting chapter at the end that deals with the exact errors beginners actually encounter in practice, not just hypothetical ones.

Analytics Patterns for Intelligent Decision Systems shows how to move beyond dashboards into analytics systems that explain, predict, recommend, optimize, and improve business outcomes.Packed with SQL patterns, KPI frameworks, forecasting models, recommendation logic, and decision intelligence templates, this book gives data professionals a practical blueprint for modern analytics.Build systems that do more than report the past — build systems that help decide what should happen next.

Every tutorial gets you to "Hello World." This book gets you to production. In 26 years of building and consulting on enterprise systems, I've seen exactly where the gap is, this is the book I wish existed when I started. You'll understand not just how to write the code, but why real systems are built the way they are.

Master Kong Gateway like a pro. Discover battle-tested strategies for Hybrid Control Plane/Data Plane architecture, Zero Trust security with mTLS, declarative IaC using decK, and enterprise-grade observability — all tailored for high-availability, multi-region deployments.The complete blueprint for architects and platform teams building secure, scalable API platforms.

Most asyncio tutorials introduce async and await on page one and ask you to take the runtime on faith. This book does it the other way around. You build a working event loop in thirty lines of plain Python — no asyncio import — and meet the keywords as labels for parts of a runtime you have already watched run. By the end, async Python stops being intimidating and starts being readable.