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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

Chapter 14
Project 4.2: Creating Reports

One easy way to share good-looking results is to use a Jupyter notebook’s Markdown cells to create a presentation. This chapter will create a “slide deck” that can be shared and presented. We can expand on this to create a PDF report using additional packages like Jupyter book or Quarto.

In this chapter, we’ll look at two important working results of data analysis:

  • Slide decks build directly from a Jupyter Lab notebook.

  • PDF reports built from notebook data and analysis.

This chapter’s project will upgrade an analysis notebook created in the previous chapter to create presentations that can be shared with colleagues. We’ll start by looking at the kinds of reports an analyst may need to produce.

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