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  1. Теория информации для машинного обучения
    Теория информации для машинного обучения
    От энтропии и кодирования к NLP, LLM, компьютерному зрению и обучению с подкреплением
    Vlad Kulikov

    Теория информации: от энтропии и кодирования до NLP, LLM, компьютерного зрения и обучения с подкреплением.

  2. The Competitive Coder's Manual: Thinking in Patterns and Logic
    The Competitive Coder's Manual: Thinking in Patterns and Logic
    Master the Mindset Behind Algorithmic Excellence—From Competition Leaderboards to Production Systems
    George panos
    No Description Available
  3. EZ Tools Manuals
    EZ Tools Manuals
    Andrew Rathbun and Eric Zimmerman

    Eric Zimmerman's Tools are free, open-source, and widely taught around the world. This is the official manual for all of his command line and GUI tools.

  4. Kubernetes: Once Upon A Time
    Kubernetes: Once Upon A Time
    Container Orchestration
    Manuel Morejón

    Master Kubernetes v1.35+ on your laptop without cloud bills. Build production-grade multi-node clusters using Kind (Kubernetes in Docker). From architecture basics to Ingress, Gateway API, and RBAC.

  5. Essential F#
    Essential F#
    Ian Russell

    Everywhere you look, programming languages are gaining functional features. The problem is that it's not the individual features that make functional programmers happy, it's the way that your approach to writing software and the features work together to help you write simple code to solve interesting problems. This concise, practical ebook will help you discover why F# is such a popular language with those who have spent time learning its secrets. 

  6. What to Look for in a Code Review
    What to Look for in a Code Review
    Effective tips for reviewing code
    Trisha Gee

    Effective Code Review Tips and Tricks

  7. Statistical inference for data science
    Statistical inference for data science
    A companion to the Coursera Statistical Inference Course
    Brian Caffo

    This book gives a brief, but rigorous, treatment of statistical inference intended for practicing Data Scientists.

  8. Architect Your Agent's Harness
    Architect Your Agent's Harness
    The Architecture Techniques Behind AI Agents That Don't Hallucinate or Waste Tokens
    Elizabeth Fuentes

    You have built an AI agent that works beautifully in a demo, then falls apart the moment real users arrive: it invents answers, burns through tokens, and freezes on slow tools. The problem was never your prompt. This book shows you the real fix, layer by layer, and turns "I hope my agent works" into "I can prove it does."

  9. Mechanistic modelling essentials
    Mechanistic modelling essentials
    Principles, mathematics and statistics for building and applying TK and TKTD models
    Tjalling Jager

    Would you like to use TK or TKTD modelling to answer (applied) scientific questions, but lack the background in modelling and/or statistics? Then this is the book for you. This book provides a small selection of the tools from math and stats, along with some elements from philosophy of science, to get you up to speed.

  10. The Language Learner's Handbook
    The Language Learner's Handbook
    Tools and Techniques to Learn Any Language
    Simon Forbes

    Ever wanted to learn a foreign language but weren't sure where to start? The Language Learner's Handbook gives you the essential tools, skills, and strategies you need to learn any language as effectively and quickly as possible.

  11. GitOps
    GitOps
    Cloud-native Continuous Deployment
    Dr. Simon Harrer, Florian Beetz, and Anja Kammer

    GitOps has caused quite some fuss on Twitter and KubeCon, and still continues to do so. This book aggregates the essence of GitOps to help clear up the confusion. This book answers the following questions:What is GitOps?Why should I use GitOps?How does GitOps work?How to get started with GitOps on Kubernetes?What's the Future of GitOps?

  12. Clean Architectures in Python
    Clean Architectures in Python
    A practical approach to better software design
    Leonardo Giordani

    What is a good software architecture? Why should we bother structuring the code and spending time testing it? If you like spending hours debugging your programs or staying late at the office to recover from a buggy deploy in production this book is definitely NOT for you!

  13. Rust Projects - Write a Redis Clone
    Rust Projects - Write a Redis Clone
    Explore asynchronous programming with the actor model using Rust and Tokio
    Leonardo Giordani

    Explore the power of Rust with "Rust Projects: Write a Redis Clone". This hands-on guide takes you through building a Redis-inspired database from the ground up, introducing key programming concepts like TCP connections, the RESP protocol, and concurrency. Following the CodeCrafters challenge, this book gradually builds your skills, making complex topics accessible. Whether you're new to Rust or looking to deepen your understanding, this project-based journey offers practical, real-world insights into modern systems programming. The book contains 40% discount code for CodeCrafters.io!

  14. QuantLib Python Cookbook
    QuantLib Python Cookbook
    Luigi Ballabio and Goutham Balaraman

    Quantitative finance in Python: a hands-on, interactive look at the QuantLib library through the use of Jupyter notebooks as working examples.

  15. WordPress Malware Removal for Developers & Site Owners
    WordPress Malware Removal for Developers & Site Owners
    Real-World Malware Cleanup, Investigation, and Recovery for WordPress Developers and Site Owners
    MD Pabel

    A hacked WordPress site can look perfectly normal. Follow real investigations across files, databases, hidden users, cron jobs, hosting, DNS, checkout pages, and blacklists—and learn how to find the full compromise, remove it safely, and stop it from coming back.