Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Python for Geeks

You're reading from   Python for Geeks Build production-ready applications using advanced Python concepts and industry best practices

Arrow left icon
Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781801070119
Length 546 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Muhammad Asif Muhammad Asif
Author Profile Icon Muhammad Asif
Muhammad Asif
Arrow right icon
View More author details
Toc

Table of Contents (20) Chapters Close

Preface 1. Section 1: Python, beyond the Basics
2. Chapter 1: Optimal Python Development Life Cycle FREE CHAPTER 3. Chapter 2: Using Modularization to Handle Complex Projects 4. Chapter 3: Advanced Object-Oriented Python Programming 5. Section 2: Advanced Programming Concepts
6. Chapter 4: Python Libraries for Advanced Programming 7. Chapter 5: Testing and Automation with Python 8. Chapter 6: Advanced Tips and Tricks in Python 9. Section 3: Scaling beyond a Single Thread
10. Chapter 7: Multiprocessing, Multithreading, and Asynchronous Programming 11. Chapter 8: Scaling out Python Using Clusters 12. Chapter 9: Python Programming for the Cloud 13. Section 4: Using Python for Web, Cloud, and Network Use Cases
14. Chapter 10: Using Python for Web Development and REST API 15. Chapter 11: Using Python for Microservices Development 16. Chapter 12: Building Serverless Functions using Python 17. Chapter 13: Python and Machine Learning 18. Chapter 14: Using Python for Network Automation 19. Other Books You May Enjoy

Understanding advanced concepts with data structures

Python offers comprehensive support for data structures, including key tools for storing data and accessing data for processing and retrieving. In Chapter 4, Python Libraries for Advanced Programming, we discussed the data structure objects that are available in Python. In this section, we will cover a number of advanced concepts such as a dictionary within a dictionary and how to use comprehension with a data structure. We will start by embedding a dictionary inside a dictionary.

Embedding a dictionary inside a dictionary

A dictionary in a dictionary or a nested dictionary is the process of putting a dictionary inside another dictionary. A nested dictionary is useful in many real-world examples, particularly when you are processing and transforming data from one format into the other.

Figure 6.1 shows a nested dictionary. The root dictionary has two dictionaries against key 1 and key 3. The dictionary against key 1 has...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime