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Python Real-World Projects

You're reading from  Python Real-World Projects

Product type Book
Published in Sep 2023
Publisher Packt
ISBN-13 9781803246765
Pages 478 pages
Edition 1st Edition
Languages
Author (1):
Steven F. Lott Steven F. Lott
Profile icon Steven F. Lott

Table of Contents (20) Chapters

Preface 1. Chapter 1: Project Zero: A Template for Other Projects 2. Chapter 2: Overview of the Projects 3. Chapter 3: Project 1.1: Data Acquisition Base Application 4. Chapter 4: Data Acquisition Features: Web APIs and Scraping 5. Chapter 5: Data Acquisition Features: SQL Database 6. Chapter 6: Project 2.1: Data Inspection Notebook 7. Chapter 7: Data Inspection Features 8. Chapter 8: Project 2.5: Schema and Metadata 9. Chapter 9: Project 3.1: Data Cleaning Base Application 10. Chapter 10: Data Cleaning Features 11. Chapter 11: Project 3.7: Interim Data Persistence 12. Chapter 12: Project 3.8: Integrated Data Acquisition Web Service 13. Chapter 13: Project 4.1: Visual Analysis Techniques 14. Chapter 14: Project 4.2: Creating Reports 15. Chapter 15: Project 5.1: Modeling Base Application 16. Chapter 16: Project 5.2: Simple Multivariate Statistics 17. Chapter 17: Next Steps 18. Other Books You Might Enjoy 19. Index

1.7 Extras

Here are some ideas for you to add to this project.

1.7.1 Static analysis - mypy, flake8

There are several common static analysis tools that are as essential as automated testing:

  • mypy checks type annotations to be sure the functions and classes will interact properly.

  • flake8 does other syntax checks to make sure the code avoids some of the more common Python mistakes.

  • black can be used to check the formatting to make sure it follows the recommended style. The black application can also be used to reformat a new file.

  • isort can be used to put a long collection of import statements into a consistent order.

Once the application passes the functional tests in the *.feature files, these additional non-functional tests can be applied. These additional tests are often helpful for spotting more nuanced problems that can make a program difficult to adapt or maintain.

1.7.2 CLI features

The command-language interface permits a single option, the --who option, to provide a...

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