Book Image

Python Real-World Projects

By : Steven F. Lott
5 (1)
Book Image

Python Real-World Projects

5 (1)
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)
19
Index

13.3 Deliverables

This project has the following deliverables:

  • A requirements-dev.txt file that identifies the tools used, usually jupyterlab==3.5.3 and matplotlib==3.7.0.

  • Documentation in the docs folder.

  • Unit tests for any new application modules in the tests folder.

  • Any new application modules in the src folder with code to be used by the inspection notebook.

  • A notebook to summarize the clean data. In the case of Anscombe’s quartet, it’s essential to show the means and variances are nearly identical, but the scatter plots are dramatically different.

We’ll look at a few of these deliverables in a little more detail.

13.3.1 Unit test

There are two distinct kinds of modules that can require testing:

  • The notebook with any function or class definitions. All of these definitions require unit tests.

  • If functions are factored from the notebook into a supporting module, this module will need unit tests. Many previous projects have emphasized these tests.

A notebook...