Textbook in PDF format

This book explores Python's rich history, dynamic features, and its wide-ranging applications in web development, data science, and machine learning. From its installation process to interactive help, readers embark on a journey through Python's unique characteristics and its distinctions from other programming languages. It lays a solid foundation for beginners and seasoned programmers alike.
Python is a high-level programming language that is popular for its readability, ease of use, and versatility. It is commonly used for web development, data analysis, and Artificial Intelligence (AI). Python has a simple and concise syntax, which makes it easy to read and write. Its code is easy to understand, even for beginners, and this simplicity is one of the reasons why Python has become so popular. Python is an interpreted language, which means that you don’t need to compile your code before running it. This makes it faster to develop and test code, as you can run it immediately and see the results. Python code can run on many different platforms, including Windows, Linux, and macOS. This is because Python code is interpreted, and the interpreter is available on all of these platforms. Python comes with a large and comprehensive standard library that provides many useful functions and modules for developers. This makes it easy to perform common tasks, such as reading and writing files, working with databases, and performing network operations. Python has a huge and active community of developers who create and maintain many useful third-party modules and libraries. These libraries provide additional functionality, such as scientific computing, data analysis, web development, and Artificial Intelligence.
Chapter 1 This is an introductory chapter that provides an overview of Python, covering its history, features, applications, and installation process. It highlights Python's dynamic, high-level, and object-oriented language features and cross-platform compatibility. The chapter emphasizes the use of Python in web development, data science, and machine learning. It also explains Python interactive help and demonstrates how to install and execute Python on different platforms. Additionally, the chapter covers how Python differs from other programming languages.
Chapter 2 This chapter introduces the basics of Python programming language. It covers keywords and identifiers, explaining their differences and how to use them properly. The chapter then moves on to Python statements and demonstrates how to use them to create simple programs. It highlights the importance of documentation and indentation in Python programming. The chapter covers variables and their declaration in Python, including the rules for naming variables. It also covers the different data types in Python, such as numbers, strings, lists, and tuples, along with examples of how to use them.
Chapter 3 This chapter covers Python operators, including arithmetic, relational, logical, bitwise, assignment, and identity operators. It also explains the precedence and associativity of operators, which determine the order in which they are evaluated.
...
Chapter 12 This chapter covers operator overloading in Python, which is the ability to redefine the behavior of an operator in a class. It explains how to overload the + and - operators in Python, as well as bitwise and relational operators. The chapter provides examples of how to use operator overloading to customize the behavior of operators in Python.
The Appendix- I is given which provides the list of Python Standard Modules with the description of each.
Contents:
Introduction to Python Language
Python Data Types and Input Output
Operators and Expressions
Control Structures
Python Native Data Types
Python Functions
Python Modules
Exception Handling
File Management in Python
Classes and Objects
Inheritance
Python Operator Overloading
Appendix
Bibliography