Book Image

The Python Workshop - Second Edition

By : Corey Wade, Mario Corchero Jiménez, Andrew Bird, Dr. Lau Cher Han, Graham Lee
4.7 (3)
Book Image

The Python Workshop - Second Edition

4.7 (3)
By: Corey Wade, Mario Corchero Jiménez, Andrew Bird, Dr. Lau Cher Han, Graham Lee

Overview of this book

Python is among the most popular programming languages in the world. It’s ideal for beginners because it’s easy to read and write, and for developers, because it’s widely available with a strong support community, extensive documentation, and phenomenal libraries – both built-in and user-contributed. This project-based course has been designed by a team of expert authors to get you up and running with Python. You’ll work though engaging projects that’ll enable you to leverage your newfound Python skills efficiently in technical jobs, personal projects, and job interviews. The book will help you gain an edge in data science, web development, and software development, preparing you to tackle real-world challenges in Python and pursue advanced topics on your own. Throughout the chapters, each component has been explicitly designed to engage and stimulate different parts of the brain so that you can retain and apply what you learn in the practical context with maximum impact. By completing the course from start to finish, you’ll walk away feeling capable of tackling any real-world Python development problem.
Table of Contents (16 chapters)
13
Chapter 13: The Evolution of Python – Discovering New Python Features

Summary

To summarize, recall that Python data structures include lists, tuples, dictionaries, and sets. Python provides these structures to enable you to code better as a developer. In this chapter, we covered lists, which are one of the most important data types in Python since they can store multiple objects, as well as other data types, such as dictionaries, tuples, and sets. Each of these data types helps us store and retrieve data effectively.

Data structures are an essential part of all programming languages. Most programming languages only provide basic data types for storing different types of numbers, strings, and Booleans, as you learned in Chapter 1, Python Fundamentals – Math, Strings, Conditionals, and Loops. They are an essential part of any program. In this chapter, you learned that lists and dictionaries may be used to store complex data, including nested lists and mixed data types.

In the next chapter, you are going to learn how to use functions to write modular and understandable code that follows the Don’t Repeat Yourself (DRY) principle.