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  1. Architecting Neuro-Symbolic Agents with Python Programming
    Architecting Neuro-Symbolic Agents with Python Programming
    Integrating LLMs, Wolfram Alpha, IBM Watson and Open Source Stacks for Near-Zero Hallucination Systems
    Edgar Milvus

    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

  2. AI Autonomous Agents with Python Programming
    AI Autonomous Agents with Python Programming
    Master LangGraph, CrewAI, and RAG to Build Self-Correcting Swarms and Autonomous Digital Workers
    Edgar Milvus

    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.

  3. Data Science with Python
    Data Science with Python
    Data Analysis and Prediction Algorithms with Python
    Daniel Paredes

    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.

  4. Erstellen Sie Ihr Erstes Sprachmodell
    Erstellen Sie Ihr Erstes Sprachmodell
    Ein praktischer Leitfaden zu Sprachmodellen
    Hasan Degismez

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

  5. Создайте свою первую языковую модель
    Создайте свою первую языковую модель
    Практическое руководство по языковым моделям
    Hasan Degismez

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

  6. İlk Dil Modelinizi Oluşturun
    İlk Dil Modelinizi Oluşturun
    Dil Modelleri için Uygulamalı Rehber
    Hasan Degismez

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

  7. The Architect's Playbook
    The Architect's Playbook
    5 Pillars of Production AI Agent Architecture
    Atef Ataya

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

  8. Python Mastery: From Basics to Advanced
    Python Mastery: From Basics to Advanced
    Interactive Guide with 72 Lessons & 350+ Live Code Examples
    Anish Nath

    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.

  9. Python Programming with Tkinter
    Python Programming with Tkinter
    From Fundamentals to Advanced GUI Techniques
    Nadine Brown

    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. 

  10. Build Your First LLM
    Build Your First LLM
    A Hands-On Guide to Language Models
    Hasan Degismez

    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.

  11. Mastering Advanced Time Series Forecasting in Python: Probabilistic, Hierarchical, and Foundation Models
    Mastering Advanced Time Series Forecasting in Python: Probabilistic, Hierarchical, and Foundation Models
    Master advanced forecasting with Python using machine learning, deep learning, and cutting-edge foundational models. Learn hierarchical and probabilistic forecasting, forecastability, metrics, and scalable pipelines. Build robust, real-world forecasting systems with production-ready code and expert guidance.
    Valery Manokhin

    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.

  12. Data Structures and Algorithm Design using Python
    No Description Available
  13. Introduction to Python DrissionPage: A Hands-On Guide to Building a Flea Market Price Tracker
    Introduction to Python DrissionPage: A Hands-On Guide to Building a Flea Market Price Tracker
    From Zero to Automated Scraping: Master Web Automation with a Real-World Project
    sahutol

    Learn build a powerful web scraping bot with Python and DrissionPage in this hands-on, project based guide.

  14. Spatial Data Management with DuckDB
    Spatial Data Management with DuckDB
    From SQL Basics to Advanced Geospatial Analytics
    Qiusheng Wu

    Unlock the power of DuckDB for modern geospatial analytics. This hands-on guide helps GIS professionals master efficient spatial data management, transforming massive real-world datasets into powerful insights using SQL, Python, and DuckDB’s spatial extension. Full-color print edition is available on Amazon.

  15. Supervised Learning from First Principles

    PLEASE NOTE THAT THIS IS NOT THE FULL BOOK BUT JUST CHAPTER 1 and 2 because a simple topic like Simple Linear Regression became 20+ pages long. As a full-time frontend architect, I'm writing and releasing this book chapter by chapter, at a pace that fits around my day job and life. So, think of this as a journey we're taking together, one concept at a time. REST OF THE CHAPTERS WILL BE AVAILABLE AT REGULAR INTERVALS. So keep me motivated by subscribing :)