Publishing - Hands-On Python Programming For Beginners

Copyright 2021 by AI Publishing

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First Printing, 2021

Edited by AI Publishing

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Published by AI Publishing LLC

ISBN-13: 978-1-7347901-9-1

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Table of Contents

Preface

If you are reading these lines, you are probably one of those people who are either absolute beginners to programming or are familiar with some programming language other than Python. If you fall in one of these two categories, you have made an excellent decision on purchasing this book.

Python programming language has occupied the top spot for the last four years among the most wanted programming languages as per stackoverflow.com developer surveys. This fact shows the current industry trends where more and more developers are shifting toward Python and for the right reasons.

With the rise of data science and high-performance computing hardware, the interest in learning Python programming has been revitalized. Furthermore, Python is an extremely easy-to-learn and thoroughly versatile language that can be used for almost all types of programming tasks.

Thank you for your decision on purchasing this book. I can assure you that you will not regret your decision.

In this book, you will learn all these concepts. So, buckle up for a journey that may give you your career break!

The book follows a very simple approach. It is divided into 13 chapters, followed by three simple projects. The first 7 chapters of this book explain the environment set, software installation, and the core Python programming concepts such as Python syntax, data types and variables, conditional and decision statements, functions and methods, exception handling, and object-oriented programming. The last 6 chapters of the book are geared toward the explanation of some of the most useful Python libraries and utilities.

Each chapter explains the concepts theoretically, followed by practical examples. Each chapter also contains exercises that students can use to evaluate their understanding of the concepts explained in the chapter. The Python notebook for each chapter is provided in the Resources Folder that accompanies this book. It is advised that instead of copying the code from the book, you write the code yourself, and in case of an error, you match your code with the corresponding Python notebook, find and then correct the error. The datasets used in this book are either downloaded at runtime or are available in the Resources folder. Do not try to copy and paste the code from the PDF notebook, as you might face an indentation issue. If you have to copy some code, copy it from the Python Notebooks.

The book is aimed ideally at absolute beginners to Python programming in specific and programming in general. If you are a beginner-level programmer, you can use this book as a first introduction to programming. If you are already familiar with another programming language and now looking for an introductory resource to learn Python language, this book serves the purpose for you, too. Finally, if you are an experienced Python programmer, you can also use this book for general reference to perform common tasks in Python, data science, and machine learning.