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Python Real-World Projects

You're reading from   Python Real-World Projects Craft your Python portfolio with deployable applications

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781803246765
Length 478 pages
Edition 1st 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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Table of Contents (20) Chapters Close

Preface 1. Chapter 1: Project Zero: A Template for Other Projects 2. Chapter 2: Overview of the Projects FREE CHAPTER 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

5.4 Extras

Here are some ideas for the reader to add to this project.

5.4.1 Consider using another database

For example, MySQL or PostgreSQL are good choices. These can be downloaded and installed on a personal computer for non-commercial purposes. The administrative overheads are not overly burdensome.

It is essential to recognize these are rather large, complex tools. For readers new to SQL, there is a lot to learn when trying to install, configure, and use one of these databases.

See https://dev.mysql.com/doc/mysql-getting-started/en/ for some advice on installing and using MySQL.

See https://www.postgresql.org/docs/current/tutorial-start.html for advice on installing and using PostgreSQL.

In some cases, it makes sense to explore using a Docker container to run a database server on a virtual machine. See https://www.packtpub.com/product/docker-for-developers/9781789536058 for more about using Docker as a way to run complex services in isolated environments.

See https://dev.mysql...

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