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
- Getting Started with Python
- Variables and Core Data Types
- Input, Output, and Type Conversion
- Numbers and Operators
- Strings and Text Processing
- Booleans and Conditionals
- Lists and Tuples
- Dictionaries and Sets
- Loops and Repetition
- Functions and Reusable Code
- Files and Exceptions
- Modules, Standard Library, and Capstone
- Testing, Debugging, and Project Structure
- Classes and Object-Oriented Basics
- Inheritance and Reusing Class Design
- Recursion and Problem Solving
- Data Science with Python
- Building a Complete Project: Task Manager
- Challenge Programs and Worked Solutions
