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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

Chapter 5
Data Acquisition Features: SQL Database

In this chapter, you will be guided through two projects that demonstrate how to work with SQL databases as a source of data for analysis. This will build on the foundational application built in the previous two chapters.

This chapter will focus on SQL extracts. Since enterprise SQL databases tend to be very private, we’ll guide the reader through creating an SQLite database first. This database will be a stand-in for a private enterprise database. Once there’s a database available, we will look at extracting data from the database.

This chapter’s projects cover the following essential skills:

  • Building SQL databases.

  • Extracting data from SQL databases.

The first project will build a SQL database for use by the second project.

In an enterprise environment, the source databases will already exist.

On our own personal computers, these databases don’t exist. For this reason, we’ll build a database...

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