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Category: "Python"

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  1. Python is a rich and powerful language, but many data scientists merely scratch the surface, and often feel uncertain about what lies beneath.  This book will go deep into the heart of Python, to truly understand its components, and how we can stitch them together to build better scientific workflows and machine learning systems.

  2. Learn Python with 100+ self-explanatory codes.

  3. Neural Networks Fundamentals with Python
    Rodrigo Girão Serrão @ Mathspp

    Ever wondered what a neural network really is, how it works, or how to implement one? Well, I did, and that is why I tried implementing one. And it was amazing! Now, I just want to help you do it yourself, so that you can take a peek behind the curtains of this world of machine learning, deep learning, and all those buzzwords.

  4. Python 3 Exercises for beginners
    Easy exercises for starting coders
    Carles Mateo

    Python 3 exercises for beginners. (English)Exercisis per a principiants. (Català)Ejercicios para principiantes. (Castellano)

  5. Completely hands-on so that you can start the real work!

  6. Creating React Applications with Python
    A novel approach for achieving Full-Stack Python
    John Sheehan

    A short tutorial on how to create front-end web applications in Python using the React JavaScript library, without having to program in JavaScript!

  7. Master Python
    Frank Anemaet

    Use Python to build web apps, analyze data, create desktop software, automate tasks, and more.

  8. Learn NumPy Basics in Weekend
    Learning NumPy Basics from Weekend Series
    Hisham El-Amir

    You will learn that NumPy has very efficient arrays that are easy to use due to the powerful indexing mechanism. This book describes some of the more advanced and tricky indexing techniques.Also we will try to make an attempt to document the most essential methods that every user should know. NumPy has many methods to even mention in this book!

  9. Simplifying Machine Learning with PyCaret
    A Low-code Approach for Beginners and Experts!
    Giannis Tolios

    A beginner-friendly introduction to machine learning with Python, that is based on the PyCaret and Streamlit libraries. Readers will delve into the fascinating world of artificial intelligence, by easily training and deploying their ML models!

  10. Turn data into clear visuals with Matplotlib, the most powerful plotting library in Python.

  11. 15 Cheat Sheet Collection in Python + Git + NumPy + ML + Mindset
    Easy + Quick Learning with Finxter's Best Cheat Sheets
    Christian Mayer

    This 15x PDF collection is a compilation of the best cheat sheets created for my free Finxter Email Academy that teaches Python in byte-sized video and cheat sheet lessons.

  12. React to Python
    Creating React Front-End Web Applications with Python
    John Sheehan

    Create responsive front-end web applications in Python using the React and Material-UI JavaScript libraries, without having to program in JavaScript, by using the Transcrypt transpiler that turns your Python code into JavaScript.

  13. Cómo crear un lenguaje de programación desde cero
    Un enfoque práctico usando Python
    Irwin Rodriguez

    Crea tu propio lenguaje de programación desde cero usando Python.

  14. Python for Accounting
    A Modern Guide to Using Python Programming in Accounting
    Horatio Bota

    Learn how you can use Python programming and data science tools to handle Excel spreadsheets, automate your workflow, and supercharge your skill set. Visit www.pythonforaccounting.com to read the table of contents and learn more about the projects you'll complete as you go through the book.

  15. Image Processing in Python
    Processing raster images with the Pillow library
    Martin McBride
    No Description Available