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Modern Python Cookbook

You're reading from   Modern Python Cookbook 130+ updated recipes for modern Python 3.12 with new techniques and tools

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835466384
Length 818 pages
Edition 3rd Edition
Languages
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Author (1):
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Steven F. Lott Steven F. Lott
Author Profile Icon Steven F. Lott
Steven F. Lott
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Toc

Table of Contents (20) Chapters Close

Preface 1. Chapter 1 Numbers, Strings, and Tuples FREE CHAPTER 2. Chapter 2 Statements and Syntax 3. Chapter 3 Function Definitions 4. Chapter 4 Built-In Data Structures Part 1: Lists and Sets 5. Chapter 5 Built-In Data Structures Part 2: Dictionaries 6. Chapter 6 User Inputs and Outputs 7. Chapter 7 Basics of Classes and Objects 8. Chapter 8 More Advanced Class Design 9. Chapter 9 Functional Programming Features 10. Chapter 10 Working with Type Matching and Annotations 11. Chapter 11 Input/Output, Physical Format, and Logical Layout 12. Chapter 12 Graphics and Visualization with Jupyter Lab 13. Chapter 13 Application Integration: Configuration 14. Chapter 14 Application Integration: Combination 15. Chapter 15 Testing 16. Chapter 16 Dependencies and Virtual Environments 17. Chapter 17 Documentation and Style 18. Other Books You May Enjoy
19. Index

12
Graphics and Visualization with Jupyter Lab

A great many problems are simplified through visualization of the data. The human eye is particularly suited to identifying relationships and trends. Given a display of a potential relationship (or trend), it makes sense to turn to more formal statistical methods to quantify the relationship.

Python offers a number of graphical tools. For data analytics purposes, one of the most popular is matplotlib. This package offers numerous graphic capablities. It integrates well with Jupyter Lab, providing us an interactive environment to visualize and analyze data.

It’s possible to do a great deal of Python development in Jupyter Lab. While wonderful, this is not a perfect Integrated Development Environment (IDE). The one minor drawback is the interactive notebook relies on global variables, something that isn’t ideal for writing modules or applications. The use of global variables can lead to confusion when transforming...

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