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Python Real-World Projects

Python Real-World Projects

By : Steven F. Lott
4.4 (5)
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Python Real-World Projects

Python Real-World Projects

4.4 (5)
By: Steven F. Lott

Overview of this book

In today's competitive job market, a project portfolio often outshines a traditional resume. Python Real-World Projects empowers you to get to grips with crucial Python concepts while building complete modules and applications. With two dozen meticulously designed projects to explore, this book will help you showcase your Python mastery and refine your skills. Tailored for beginners with a foundational understanding of class definitions, module creation, and Python's inherent data structures, this book is your gateway to programming excellence. You’ll learn how to harness the potential of the standard library and key external projects like JupyterLab, Pydantic, pytest, and requests. You’ll also gain experience with enterprise-oriented methodologies, including unit and acceptance testing, and an agile development approach. Additionally, you’ll dive into the software development lifecycle, starting with a minimum viable product and seamlessly expanding it to add innovative features. By the end of this book, you’ll be armed with a myriad of practical Python projects and all set to accelerate your career as a Python programmer.
Table of Contents (20 chapters)
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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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