Python Internals for Developers

Practice Python 3.x Fundamentals, Including Data Structures, Asymptotic Analysis, and Data Types

Sonam Chawla Bhatia

• Publisher: BPB Publications
• Year: 2021
• eBook ISBN: 9789391392024
• Topic: Computer Science
• Subtopic: Computer Science General
• Index: Computer Science

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 programmer's or developer's 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, you'll 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 application's 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.x's 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

CHAPTER 1

Python: A Quick Recap

Introduction

Python is one of many programming languages which exist in the software world to help developers solve real-time problems. Programming language is a formal language like English, Hindi, Spanish, and so on. Just like English or any other language used by humans to communicate with each other, the programming language is used for communication between humans and computers.

Many programming languages exist for human-computer communication. Now you must be wondering why we need so many programming languages for the same task, that is, communication. The following are some of the reasons why so many languages exist:

• Some languages are easier to read and maintain than others.
• All languages have different performance for different applications.
• Different languages are suitable for solving different problems. For example, HTML can be used for developing websites and C language is best for embedded software development.
• Languages differ in support of libraries to support common functions.
• Some languages have fewer vulnerabilities than others, thus making them more secure. For example, Java is more secure than C.

Thus, developers choose the programming language based on the problem to be solved, the infrastructure to be used, and the type of software to be developed.

Structure

In this chapter, we will discuss the following topics:

• Understanding Python
• Variables and expressions
  • Variables
    • Variable names
  • Operators
    • Arithmetic operators
    • Comparison operators
    • Logical operators
    • Identity operators
    • Membership operators
    • Bitwise operators
    • Assignment operators
    • Operator precedence
  • Expressions
  • Comments
• Conditional statements
  • The if statement
  • The if…else statement
  • The if…elif…else statement
  • The nested conditional statements
• Loops and iterations
  • The while loop
  • The for loop
  • The break statement
  • The continue statement
• Functions
  • Pre-defined functions

Objectives

By the end of this chapter, you will be able to install Python in your systems. You will be able to understand Python syntax and write basic programs in Python. You will get basic knowledge of interactive and script mod in Python. You will get an idea of how to write and run Python programs in both modes and also be able to understand the concept of functions in Python and how they are implemented.

Understanding Python

Python is a high-level language like C++, Java, and so on. High-level languages are more understandable by humans than low-level languages. High-level languages hide register, memory details from the developer. The computer understands low-level languages such as machine/assembly language. High-level languages convert solutions written in high-level languages to low-level languages.

Figure 1.1: Compiler takes source code and converts it into machine language code (executable file)

Python is an interpreted language. Table 1.1 shows the difference between Interpreted languages and Compiled...

Table of contents

• Cover Page
• Title Page
• Copyright Page
• Dedication Page
• About the Author
• About the Reviewer
• Acknowledgements
• Preface
• Errata
• Table of Contents
• 1. Python: A Quick Recap
• 2. Data Types
• 3. Asymptotic Analysis
• 4. Data Structure
• 5. List
• 6. Dictionary
• 7. Tuple
• 8. Set
• 9. Arrays
• 10. Stack
• 11. Queue
• 12. Tree
• 13. Linked List
• 14. Graph
• 15. HashMap
• 16. Practical Problem Solutions
• Index