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Python for Geeks

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

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Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781801070119
Length 546 pages
Edition 1st Edition
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Author (1):
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Muhammad Asif Muhammad Asif
Author Profile Icon Muhammad Asif
Muhammad Asif
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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

Introducing Python data containers

Python supports several data types, both numeric as well as collections. Defining numeric data types such as integers and floating-point numbers is based on assigning a value to a variable. The value we assign to a variable determines the type of the numeric data type. Note that a specific constructor (for example, int() and float()) can also be used to create a variable of a specific data type. Container data types can also be defined either by assigning values in an appropriate format or by using a specific constructor for each collection data type. We will study five different container data types in this section: strings, lists, tuples, dictionaries, and sets.

Strings

Strings are not directly a container data type. But it is important to discuss the string data type because of its wide use in Python programming and also the fact that the string data type is implemented using an immutable sequence of Unicode code points. The fact that it...

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