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  1. The Smartest Way to Learn Python Regular Expressions
    The Smartest Way to Learn Python Regular Expressions
    Learn the Best-Kept Productivity Secret of Code Masters
    Finxter, Zohaib Riaz, and Lukas Rieger

    Google engineers are regular expression masters. Do you want to become one, too? The Smartest Way to Learn Python Regex transforms you into a regular expression master. The book leverages an innovative learning approach: (1) read a chapter, (2) watch a course video, and (3) solve a code puzzle. It's fun!

  2. Python Combat Guide
    Python Combat Guide
    A comprehensive manual about tricks, good practices and coding style for hands on Software Developer Managers and Developers
    Carles Mateo

    Python 3 Combat Guide is a practical guide, full of actual experience and common sense, to avoid errors and to develop Python 3 Software Projects and System Administration programs.Targeted to SDM, Team Manager and Developers, defines practical strategies and tricks, and teach the basis of Unit Testing in pytest.You'll learn OOP easily.

  3. Data Science - Regression Analysis (DIY for newbies)
    Data Science - Regression Analysis (DIY for newbies)
    Includes 100 solved problems
    Geetha Subramanian

    This book contains detailed stepwise solutions to Regression problems for beginners. It is a collection of solutions in Python and R programming language.

  4. GCP Cloud Architecture
    GCP Cloud Architecture
    Noah Gift, Andrew Nguyen, Alfredo Deza, and Michael Vierling

    Learn to master the Google Cloud platform (GCP).

  5. Implementing the Clean Architecture
    Implementing the Clean Architecture
    Python Edition
    Sebastian Buczyński

    Learn how to apply the Clean Architecture. The book strongly focuses on practical aspects and is illustrated with tons of code snippets. Code samples are in Python.

  6. Minimal Python
    Minimal Python
    Noah Gift and Alfredo Deza

    Even books that have "learn" in the title introduce readers to hopelessly complex topics like object-oriented programming or concurrency. It turns out YAGNI (You Ain't Gonna Need It). Why teach students topics they won't use either ever, or not for a few years?

  7. Get SH*T Done with PyTorch
    Get SH*T Done with PyTorch
    Solve Real-World Machine Learning Problems
    Venelin Valkov

    "Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last, unless we learn how to avoid the risks." - Stephen Hawking. Learn how to solve real-world problems with Deep Learning models (NLP, Computer Vision, and Time Series). Go from prototyping to deployment with PyTorch and Python!

  8. Advanced Machine Learning Made Easy - Volume 1
    Advanced Machine Learning Made Easy - Volume 1
    From Theory to Practice with NumPy and scikit-learn, Volume 1: Generalized Linear Models
    Ferenc Farkas, PhD

    These three-volume book series cover a wide variety of topics in machine learning focusing on supervised and unsupervised learning, intended for data scientist and machine learning experts providing a very concise description of the scikit-learn library. The first volume covers the generalized linear models (linear & logistic regression).

  9. Python 101
    Python 101
    2nd Edition
    Michael Driscoll

    Learn how to write Python and beyond. You will not only learn the syntax of Python, but you will also create prototype applications and binaries that you can share with your family and friends.

  10. Python Command Line Tools
    Python Command Line Tools
    Design powerful apps with Click
    Noah Gift and Alfredo Deza

    Learn the ultimate interface...the command-line.

  11. Aprende Laravel 6: guía práctica paso a paso

    Laravel es el framework de PHP más popular en la actualidad, que permite crear aplicaciones web de forma rápida y profesional. En este libro aprenderás a crear aplicaciones web con Laravel desde cero y paso a paso.

  12. NumPy Recipes
    NumPy Recipes
    A practical introduction to NumPy
    Martin McBride
    No Description Available
  13. Cloud Computing for Data Analysis
    Cloud Computing for Data Analysis
    The missing semester of Data Science
    Noah Gift

    This book is designed to give you a comprehensive view of cloud computing including Big Data and Machine Learning. Many resources will be used including interactive labs on Cloud Platforms (Google, AWS, Azure) using Python. This is a project-based book with extensive hands-on assignments. Based on material taught at leading universities.

  14. Data Science Essentials
    Data Science Essentials
    Essential Tools Before Doing Data Science (Python)
    Hisham El-Amir

    Python has grown in recent years, due to trends of data science and ML, and I think the main reason is because it’s essentially for a person to keep track of everything that is going on. And it makes “introducing” people to Python an interesting. Nowadays, audiences need to learn python in fast way for data science and that what we will give them.

  15. Testing  in Python
    Testing in Python
    Noah Gift and Alfredo Deza

    Noah and Alfredo have decades of experience testing with Python in major production environments. Learn from the best on how to get started and advance your automation with easy examples and code to follow up.