Название: Python Numpy 101 Exercises: Skyrocket your Python skillАвтор: Joshua K. Cage
Издательство: Joshua K. Cage
Год: 2020
Формат: PDF
Страниц: 162
Размер: 27 Mb
Язык: English
Thank you for picking up this book. This book is a practical introduction to "Numpy" for first-time Python users.
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
1) People who have learned the basic Python syntax and want to take the next step.
2) If you want to write fast-running, concise Python programs.
3) If you're also a little curious about the mechanics behind deep learning and machine learning.
4) Those who get defensive when they hear the words vector and matrix.
5) Those who want to handle large scale data.
6) Those who want to study a little bit every day
7) If you have started to solve the numpy 100 exercises, but are frustrated
This book starts with "import numpy as np" and lays the foundation for doing things like linear algebra and basic statistics in machine learning.
Programming is often said to be "better to get used to it than to learn it," but if you don't take the time to build an environment to get used to it and get to the point where you can't get to the point
It's not even original. 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.
Although 101 problems and solutions are listed, explanations are omitted for problems that may be unnecessary if you read the source code.
However, explanations are omitted for problems that do not require explanation if you read the source material. If you have any difficulties in understanding the source, please send us an email using Feedback.