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  1. Machine Learning in Python for Visual and Acoustic Data-based Process Monitoring
    Machine Learning in Python for Visual and Acoustic Data-based Process Monitoring
    A short beginner’s guide to deep learning-based computer vision and abnormal sound detection
    Ankur Kumar

    This book is a quick foray into the world of deep learning-based computer vision and abnormal equipment sound detection. The readers are introduced to the ease with which powerful equipment and product quality monitoring solutions can be built using sound and visual data.

  2. Python For Everyday, Everyone, Everywhere

    Ideas for projects when teaching Python as well as general inspiration ex. when building a hobby project. It sources use-cases from Reddit and is grouped in some 20 chapters.

  3. Kubernetes for Python Developers
    Kubernetes for Python Developers
    Learn how to deploy Python applications on Kubernetes, and how to extend Kubernetes using Python.
    Oz Tiram

    Python is awesome, Kubernetes is awesome too. Use the combined power of both to create highly available Python application, declarative data processing task, and all sort of automation tasks.

  4. Matplotlib for Storytellers
    Matplotlib for Storytellers
    Python Data Visualization
    Alexander Clark
    No Description Available
  5. Leaving the Rat Race with Python
    Leaving the Rat Race with Python
    An Insider's Guide to Freelance Developing
    Finxter and Lukas Rieger

    Is There a Six-Figure Freelance Developer in You?Leaving the Rat Race with Python shows you how to nurture, grow, and harness your work-from-home coding business online --- and live the good life!It's an insider's guide to freelance developing. Start your new thriving coding business now!

  6. Coffee Break Python - Mastery Workout
    Coffee Break Python - Mastery Workout
    99 Tricky Python Puzzles to Push You to Programming Mastery
    Finxter, Lukas Rieger, and Adrian Chan

    Are you an above-average Python coder? Prove it! Coffee Break Python - Mastery Workout helps you boost your Python skills and reach mastery level. The approach is simple: you solve 99 really hard Python puzzles that get harder as you progress with the book. A clear path to Python mastery!

  7. Discrete Mathematical Algorithm, and Data Structure
    Discrete Mathematical Algorithm, and Data Structure
    Major Components of Mathematics, and Computer Science Explained with the help of C, C++, PHP, Java, C#, Python, and Dart
    Sanjib Sinha

    Readers will learn discrete mathematical abstracts as well as its implementation in algorithm and data structures shown in various programming languages, such as C, C++, PHP, Java, C#, Python and Dart. This book combines two major components of Mathematics and Computer Science under one roof.

  8. Learn Python the Simple Way
    Learn Python the Simple Way
    The fundamental programming language for Machine Learning (ML), Scientific and Numeric Computing, Robotics and Web Development
    Sanjib Sinha

    Reading "Learn Python the Simple Way", you'll learn how software work.At this moment, Python is one of the fundamental programming languages for Machine Learning (ML), Scientific and Numeric Computing, Robotics and even Web Development.

  9. The Dynamic Programming Manual
    The Dynamic Programming Manual
    Mastering Efficient Solutions
    Gábor L. Hajba

    Unleash the power of dynamic programming! Master efficiency and solve complex problems with expertly crafted solutions. Java and Python code examples guide your path to optimized application performance. Dive into "The Dynamic Programming Manual" and unlock the secrets of success!

  10. Effective Pandas
    Effective Pandas
    Tom Augspurger

    A series on writing effective, idiomatic pandas.

  11. Hello, Python! A Hands-On Journey for Absolute Beginners

    Hello, Python! A Hands-On Journey for Absolute Beginners is a beginner-friendly guide that helps you take your first steps into the exciting world of programming. Whether you are a complete beginner or someone looking to build a strong foundation in coding, this book introduces Python through simple explanations, practical examples, and hands-on exercises.

  12. Practical Graph Theory
    Practical Graph Theory
    The Algorithms Behind Modern Software
    Steve Publications

    Graphs are behind many of the problems software engineers face every day, from finding the shortest route to understanding complex networks. Practical Graph Theory shows you how to turn these problems into working solutions, with clear explanations, Python implementations and real-world examples that help you choose the right algorithm and understand why it works.

  13. The JIT Paradox
    The JIT Paradox
    What Python's Performance Crusade Means for Language Design
    Steve Publications

    Python was never built to be the fastest language, but the world it now powers demands more speed than ever. As JIT compilation pushes Python into new territory, old trade-offs are coming back into focus. What does it take to make a language faster without losing what made it popular in the first place?

  14. Gmail for Your OpenAI Agent
    Gmail for Your OpenAI Agent
    Add Gmail to an Existing OpenAI Agents SDK Agent on Windows
    Phillip Nakata

    Add Gmail search, reading and drafts to an existing OpenAI Agents SDK agent on Windows, with explicitly authorized sending.

  15. Persistent Memory Server for OpenAI Agents
    Persistent Memory Server for OpenAI Agents
    Build on existing OpenAI Agents SDK Agent an Artemis HDSM/HDSD in Windows
    Phillip Nakata

    Configure Artemis shared memory, documents and local work continuity for an OpenAI Agents SDK agent on Windows.