Books

From Coder to Architect: Level Up Your Python. 🚀 Mastered the basics? Now it’s time to build for real. Volume 2 dives into the architectural heart of Python—Data Structures and the Standard Library. Learn not just how to code, but when and why to use specific tools to build robust, high-performance applications. Stop writing scripts; start building systems.

Ready to Master Python? Your Journey Begins Here! 🚀 Skip the jargon and stop feeling lost. This hands-on guide is your mission manual, taking you from your first "Hello World" to building real applications. With crystal-clear diagrams and practical exercises, we make learning intuitive and effective. Start your coding adventure today!

Elevate your coding from "functional" to "professional" with this comprehensive guide to Python in its 2025 edition. Professional Python: Development Techniques and Patterns is more than just an introduction to syntax. It is a deep dive into the internal mechanisms and professional paradigms that define high-quality software engineering. Whether you are an absolute beginner starting your journey or an experienced developer looking to solidify your foundations, this book is designed to transform the way you think, solve problems, and write code. What you will learn: The Pillars of Python: Build a robust foundation starting from environment setup to core language basics, including variables, data structures (lists, dictionaries, sets), and control flow.Code Mastery & Reusability: Master the art of writing clean, reusable, and robust code through advanced functions, modularity, and error handling.The "Pythonic" Way: Explore the power of Iterators and Generators to handle large-scale data efficiently without exhausting system memory.Metaprogramming with Decorators: Learn to modify and improve the behavior of your classes and functions in a clean, modular way.Advanced Paradigms: Dive into Object-Oriented Programming (OOP) foundations, advanced design patterns, and asynchronous programming for high-performance applications.Quality & Persistence: Implement industry best practices with unit testing (unittest, pytest) and explore data persistence with SQL and NoSQL databases. Why this book? Written by Emma Nya, a senior developer and systems engineer with over 10 years of experience, this guide is a practical companion filled with real-world examples and step-by-step explanations. Stop just writing code; start engineering elegant solutions. Your Python odyssey continues here.

What You Will Master: The Enterprise Stack: Google Gemini + Wolfram + Watson. The Open Source Stack: Llama 3 + SymPy + ChromaDB (fully offline). The Outcome: Self-healing, near-infallible agents that never lie about data

Stop building chatbots and start architecting autonomous digital workers that act, plan, and collaborate. Master multi-agent orchestration with CrewAI and build self-healing, cyclic workflows using LangGraph. Move beyond simple prompts to implement the OODA loop, browser automation, and production-grade security. Transform LLMs into reasoning engines capable of managing entire software agencies without intervention.

Discover how to become a Data Scientist at your own pace with updated content and real-world examples. From data analysis to prediction algorithms with machine learning. Includes chapters on Generative AI, Ethics, and modern Machine Learning workflows using Python.

Bauen Sie Ihr erstes LLM Schritt für Schritt. Keine Installation, nur Google Colab. Verstehen Sie, warum alles funktioniert, statt nur Code auszuführen.

Постройте свою первую LLM шаг за шагом. Никакой установки, только Google Colab. Поймите, почему всё работает, а не просто запустите код.

LLM’leri sıfırdan, adım adım inşa edin. Kodu sadece çalıştırmakla kalmayın; neden çalıştığını da anlayın. Kurulum yok—Colab’da doğrudan ilerleyin.

Learn how to build AI agents that actually survive production — with battle-tested patterns for cost control, reliability, and scale.

Master Python through 72 hands-on lessons with 350+ executable code examples. Each example includes QR codes for instant mobile access and live execution—learn by doing, not just reading. From "Hello World" to advanced patterns, this interactive guide transforms beginners into confident Python developers.

Bring fun and curiosity to your computer science learning journey with "Interactive Programming with Python Tkinter. This exciting hands on book revisits fundamental programming concepts in an enjoyable and interactive way, making it perfect for both beginners and those looking to deepen their understanding. 

Learn how large language models work by building one from scratch. This hands-on guide walks you from first principles to a working Transformer you understand inside out.

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.