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Sonam Chawla Bhatia - Python Internals for Developers: Practice Python 3.x Fundamentals, Including Data Structures, Asymptotic Analysis, and Data Types (English Edition)

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Book:
Python Internals for Developers: Practice Python 3.x Fundamentals, Including Data Structures, Asymptotic Analysis, and Data Types (English Edition)
Author:
Sonam Chawla Bhatia
Publisher:
BPB Publications
Genre:
Books / Home and family
Year:
2021
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Python Internals for Developers: Practice Python 3.x Fundamentals, Including Data Structures, Asymptotic Analysis, and Data Types (English Edition): summary, description and annotation

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Concise Interpretation of every essential element of Python with Use-cases

Key Features

Numerous examples and solutions to assist beginners in understanding the concept.

Contains visual representations of data structures.

Demonstrations of how to use data structures with a Python implementation.

Description

This book will aid you in your learning of the Python 3.x programming language. The chapters in this book will benefit every aspect of a programmers or developers life by preparing them to solve problems using Python programming and its key data structures and internals.

This book explains the built-in and user-defined data structures in Python 3.x. The book begins by introducing Python, its fundamental data structures, and asymptotic notations. Once you master the fundamentals of Python, youll be able to fully comprehend the built-in data structures. The book covers real-world applications to understand user-defined data structures and their actual implementation. Towards the end, it will help you investigate how to solve practical problems by first comprehending the issue at hand.

After reading this book, you will be able to identify data structures and utilize them to solve a specific problem. You will learn about various algorithm implementations in Python and use this knowledge to advance your Python skills.

After reading this book you will be able to plan your applications migration to containers, prepare for Docker and Kubernetes Certifications, or apply for six digit DevOps jobs.

What you will learn

Calculate the complexity of time and space using asymptotic notations.

Discover Python 3.xs built-in and user-defined data structures.

Create user-defined data structures from the bottom up.

Make use of libraries to create new user-defined data structures.

Determine and implement the most appropriate data structure for resolving issues.

Who this book is for

This book caters to those who want to enhance their careers as application developers, machine learning engineers, or researchers. Knowing basic programming concepts will be good, but not mandatory.

Table of Contents

1. Python

2. Data Types

3. Algorithm Analysis

4. Data Structure Introduction

5. List

6. Dictionary

7. Tuple

8. Sets

9. Arrays

10. Stack

11. Queue

12. Trees

13. Linked Lists

14. Graphs

15. HashMaps

16. Practical Problem Solutions

Sonam Chawla Bhatia: author's other books

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Python Internals

for Developers

Practice Python 3.x Fundamentals, Including Data

Structures, Asymptotic Analysis, and Data Types

Sonam Chawla Bhatia

www.bpbonline.com

FIRST EDITION 2022

ISBN: 978-93-91392-02-4

All Rights Reserved. No part of this publication may be reproduced, distributed or transmitted in any form or by any means or stored in a database or retrieval system, without the prior written permission of the publisher with the exception to the program listings which may be entered, stored and executed in a computer system, but they can not be reproduced by the means of publication, photocopy, recording, or by any electronic and mechanical means.

LIMITS OF LIABILITY AND DISCLAIMER OF WARRANTY

The information contained in this book is true to correct and the best of authors and publishers knowledge. The author has made every effort to ensure the accuracy of these publications, but publisher cannot be held responsible for any loss or damage arising from any information in this book.

All trademarks referred to in the book are acknowledged as properties of their respective owners but BPB Publications cannot guarantee the accuracy of this information.

www.bpbonline.com

Dedicated to

My Husband, Vineet,

My Son, Ekansh

About the Author

Sonam Chawla Bhatia is an experienced developer, who has been working in product companies for last years. Sonam has worked in product companies like Samsung Bangalore, Samsung Noida, and Microsoft. Sonam has worked on development of various tools and applications. Sonam has developed applications in Java, Python, Android. Sonam has worked on few research projects involving Artificial Intelligence, Blockchain, and IoT. Sonam has seven patents on her name (4 Global and Indian). Outside work, Sonam volunteers to help, coach and mentor students for interviews.

About the Reviewer

Nidhisha Shetty is a Software Developer with interests in web development, Artificial Intelligence, and Machine Learning. Currently, she is working on exploring and gaining more expertise in these areas by researching and working on a variety of side projects. She has a total of years of industry work experience working with a few startups and product-based companies. She is currently architecting a FinTech product that helps users complete a financial transaction with ease, it aims to eliminate the rampant use of cash in emerging markets. In the past, she has also worked as a technical writer where she contributed in writing documentation for technical products to help users understand their working without ambiguity. She also documents her learnings and experiences by maintaining a blog. She completed her Masters in IT from Mumbai University in 2016. You can know more about her work here.

Acknowledgements

There are a few people I want to thank for the continued and ongoing support they have given me during the writing of this book. First and foremost, I would like to thank my husband, Vineet, and son, Ekansh for putting up with me while I was spending many weekends and evenings on writingI could have never completed this book without their support.

Finally, I would like to thank team at BPB Publications for giving me this opportunity to write my first book for them.

Preface

Programming language world keeps changing with addition of new languages. Python language has proven to be a great language for beginners as well as expert programmers. Python was first released in 1991 as Python 0.9.0. Python 2.0 was released in 2000 and Python 3.0 was released in 2008. Python was discontinued in 2020. Python language was designed on the philosophy of simplicity; thus, Python syntax is simple and easy to understand. Python is one of the most widely used programming languages.

Python is an easy to learn language and is widely being used in various applications. Python is an object oriented and interpreted high level language. It gives immense freedom to developers to implement their own data structure and define their functionalities.

Python applications include web development, machine learning, scientific computing, embedded software applications, information security, etc. A lot of programming languages like Go, Groovy, Ruby, Swift, etc. have been inspired by the simplicity and beauty of the Python language.

Learning data structures of Python is first step towards a great programming language. Developers can solve lot of problems using one single language known as Python. Library support for Python is increasing rapidly and thus applications of Python language is increasing.

The primary goal of this book is to provide information and techniques that are necessary to write or solve problems using Python language. This book contains basic real-life problems implemented using Python data structures that will show you how to calculate time and space complexity and identify which data structure is best suited for your problem or application. Over the chapters in this book, you will learn the following:

Chapter 1: Python

Description: This chapter gives recap of Python programming language. This chapter will cover variables, conditional statements, functions, and loops.

Chapter 2: Data types

Description: This chapter gives introduction to data types available in programming environment. You will learn primitive, composite, and abstract data types.

Chapter 3: Algorithm Analysis

Description: This chapter provides basic introduction to Algorithm Analysis. It explains asymptotic notation and analysis.

Chapter 4: Data Structure

Description: This chapter gives basic introduction and types of Data Structure and its usage.

Chapter 5: List

Description: This chapter provides description of List data structure with Python Implementation. This chapter will help developers understand applications of List data structure.

Chapter 6: Dictionary

Description: This chapter provides description of Dictionary with Python Implementation. This chapter will help developers understand applications of Dictionary data structure.

Chapter 7: Tuple

Description: This chapter provides description of Tuple Data Structure with Python Implementation. This chapter will help developers understand applications of Tuple data structure.

Chapter 8: Sets

Description: This chapter provides description of Sets Data Structure with Python Implementation. This chapter will help developers understand applications of Sets data structure.

Chapter 9: Arrays

Description: This chapter gives description Strings Data Structure with Python implementation. This chapter will help developers understand applications of Arrays data structure.

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