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Category: "Python"

Books

  1. 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?

  2. 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!

  3. 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).

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. Introduction to Data Engineering
    Introduction to Data Engineering
    Learn the skills needed to break into Data Engineering.
    Daniel Beach

    With the rise of Data Science and Machine Learning, Data Engineering is quickly becoming a in-demand skill. Data Engineering requires a unique skillset that is hard to learn without experience. I will teach you how to write scalable data pipelines and more!

  11. Event Sourcing in Python
    Event Sourcing in Python
    Event-oriented analysis and design with applications
    John Bywater

    A pattern language for event sourced applications and reliable distributed systems. Examples are written in the Python programming language. Now includes event-oriented introductions to the pattern language scheme of Christopher Alexander, the process philosophy of Alfred North Whitehead, and the person-centred psychology of Rogers and Rosenberg.

  12. The Hitchhiker’s Guide to Plotnine
    The Hitchhiker’s Guide to Plotnine
    Don’t panic and create beautiful plots with Python
    Jodie Burchell and Mauricio 'Pacha' Vargas Sepúlveda

    This book will help you easily build beautiful plots in Python using the powerful plotnine package, which has been adapted from the popular ggplot2 package in R. If you'd like to create highly customised plots, including replicating the styles of XKCD and fivethirtyeight, this is your book.

  13. Computer graphics in Python
    Computer graphics in Python
    Advanced vector graphics using Pycairo and Python
    Martin McBride

    Pycairo is a great library for creating high quality vector graphics in Python. This book covers the full features of the library in detail, with practical code examples and illustrations, from an author with many years experience in computer graphics software.

  14. Functional Programming in Python

    Python's best kept secret is its built in support for functional programming. Even better, it allows functional programming to be blended seamlessly with procedural and object oriented coding styles. This book explains what functional programming is, how Python supports it, and how you can use it to write clean, efficient and reliable code.

  15. Hacker's Guide to Machine Learning with Python
    Hacker's Guide to Machine Learning with Python
    Hands-on guide to solving real-world Machine Learning problems with Scikit-Learn, TensorFlow 2, and Keras
    Venelin Valkov

    This book brings the fundamentals of Machine Learning to you, using tools and techniques used to solve real-world problems in Computer Vision, Natural Language Processing, and Time Series analysis. The skills taught in this book will lay the foundation for you to advance your journey to Machine Learning Mastery!