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

15.3 Deliverables

This project has the following deliverables:

  • Documentation in the docs folder.

  • Acceptance tests in the tests/features and tests/steps folders.

  • Unit tests for model module classes in the tests folder.

  • Mock objects for the csv_extract module tests will be part of the unit tests.

  • Unit tests for the csv_extract module components that are in the tests folder.

  • An application to summarize the cleaned data in a TOML file.

  • An application secondary feature to transform the TOML file to an HTML page or PDF file with the summary.

In some cases, especially for particularly complicated applications, the summary statistics may be best implemented as a separate module. This module can then be expanded and modified without making significant changes to the overall application.

The idea is to distinguish between these aspects of this application:

  • The CLI, which includes argument parsing and sensible handling of input and output paths.

  • The statistical model, which evolves as our understanding...