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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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Toc

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

16.2 Approach

As with the previous project, this application works in these two distinct parts:

  1. Compute the statistics and create the diagram files.

  2. Create a report file in a simplified markup language from a template with the details interpolated. A tool like Jinja is very helpful for this.

Once the report file in a markup language — like Markdown or RST — is available, then a tool like Pandoc can be used to create an HTML page or a PDF document from the markup file. Using a tool like Pandoc permits quite a bit of flexibility in choosing the final format. It also allows the insertion of style sheets and page templates in a tidy, uniform way.

The LaTeX language as markup provides the most comprehensive capabilities. It is challenging to work with, however. Languages like Markdown and RST are designed to offer fewer, easier-to-use capabilities.

This book is written with LaTeX.

We’ll look at three aspects of this application: the statistical computations...

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