Cage J.K. Python Numpy 101 Exercises: Skyrocket your Python skill

Independently published, 2020. — 116 p. — ASIN B08KGP5MKL.Thank you for picking up this book. This book is a practical introduction to "Numpy" for Python newbies.
You will learn how to write a real program in Python through 101 problems.
The goal is to help students learn to write code that takes full advantage of Numpy's capabilities.
We expect the following readers to take advantage of this course:
People who have learned the basic Python syntax and want to take the next step.
If you want to write fast-running, concise Python programs.
If you're also a little curious about the techniques behind deep learning and machine learning.
Those who get defensive when they hear the words vector and matrix.
Those who want to handle large scale data.
Those who want to study a little bit every day
If you have started to solve the git numpy 100 exercises, but don’t know how to understand them
This book starts with "import numpy as np" and lays the foundation for doing things like linear algebra and basic statistics in machine learning.
This book includes a link to the executable Google Colaboratory source code so that you can use
You can actually run the code and modify it to solve the problems without the hassle of building an environment.