Coding in Python: Tips and Tricks to Coding with Python Using the Principles and Theories of Python Programming

Learning Python gets easier when each new idea can be tested in a short piece of code. Robert C. Matthews’s Coding in Python takes that hands-on route, introducing core programming concepts in a sequence that moves from variables and data types to functions, classes, and a sample calculator.

The book is intended for readers interested in Python, including those starting without a programming background. Its examples invite you to run the code, check what happens, and then make changes of your own—a useful way to turn syntax into something you can work with.

Start with the building blocks

The opening chapters cover variables, naming conventions, strings, numbers, whitespace, and data types. Lists and tuples follow, with material on indexing, modifying and copying lists, slicing, and looping through numerical lists. These early topics help readers understand how Python stores information and how to work with collections of values.

Give your programs decisions and structure

Matthews introduces conditional statements, including if-else and if-elif-else chains, before moving on to dictionaries and loops. The examples address dictionary modification and nesting, while loop control with break and continue, and working with lists inside loops. Together, these concepts show how a program can respond to different conditions and repeat useful operations.

Move on to functions and classes

Later chapters explain function definitions, arguments, default values, and returned values, including examples involving lists, dictionaries, and loops. The object-oriented programming chapter turns to classes, instances, attributes, inheritance, and overriding methods. This progression gives beginners a first look at organizing code beyond a series of standalone instructions.

Learn by running the examples

The introduction emphasizes trying the code in a Python editor, checking the result, and experimenting with adjustments. The closing chapter includes a Python calculator sample. Readers should note that the installation discussion and examples refer to Python 3.7 and 3.8.5, reflecting the book’s 2020 publication period.

A practical starting point for Python beginners

With its step-by-step coverage of foundational syntax and programming ideas, this book may suit new learners who want a guided introduction they can follow alongside a computer. Keep an editor open as you read: the examples are most useful when you can see them run—and find out what changes when you modify them.