Key Features
Python Programming: Foundations and Practice is a practical guide for students, self-learners, and working professionals who want to build real Python skill through clear explanation, steady progression, and hands-on problem solving. It focuses on the core language features that matter most in everyday programming and teaches them in a way that supports both first-time learners and those seeking a structured refresher.

The book covers the full beginner-to-intermediate journey from writing a first Python script to building complete small programs with functions, files, modules, testing, debugging, classes, and applied problem-solving patterns. You will learn how to work confidently with Python data types, conditionals, loops, collections, comprehensions, file handling, JSON, exceptions, packages, project structure, and core standard-library tools such as random, datetime, and pathlib.

With in-depth chapters, worked examples, review questions, programming exercises, challenge programs, guided checkpoints, reference tables, and a complete step-by-step project, this book develops not only Python syntax knowledge but also the habits required for writing clear, reliable, and maintainable code. By the end, you will have the foundation needed to move into more advanced Python topics in later books in the Python Foundations Series.

What you will learn

Understand how Python programs are written, run, and debugged
Work confidently with variables, numbers, strings, booleans, and core data structures
Use conditionals, loops, functions, and modules to build structured programs
Read from files, write data safely, and handle common exceptions
Use lists, tuples, dictionaries, and sets effectively in real programs
Apply comprehensions, unpacking, enumerate(), and zip() in practical code
Work with JSON, CSV-style data, standard-library modules, and small project structure
Build and extend complete small programs with testing, debugging, and reusable design habits
Who this book is for

This book is for students, self-learners, educators, and professionals who want a clear and structured path into Python programming. It is well suited for readers with no prior programming background, as well as those who have seen Python before but want stronger fundamentals and more consistent practice. No previous coding experience is required.

Table of Contents

Part I: Foundations

Getting Started with Python
Variables and Core Data Types
Input, Output, and Type Conversion
Numbers and Operators
Strings and Text Processing
Booleans and Conditionals
Part I Checkpoint
Part II: Core Python
8. Lists and Tuples
9. Dictionaries and Sets
10. Loops and Repetition
11. Functions and Reusable Code
12. Files and Exceptions
13. Modules, Standard Library, and Capstone
14. Testing, Debugging, and Project Structure
15. Part II Checkpoint

Part III: Applied Python
16. Building a Complete Project: Task Manager
17. Object-Oriented Programming: Classes and Objects
18. Object-Oriented Programming: Inheritance and Polymorphism
19. Recursion and Problem Solving
20. Data Science with Python
21. Part III Checkpoint