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)

9.3 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 the application modules in the tests folder.

  • Application to clean some acquired data and apply simple conversions to a few fields. Later projects will add more complex validation rules.

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

When starting a new kind of application, it often makes sense to start with acceptance tests. Later, when adding features, the new acceptance tests may be less important than new unit tests for the features. We’ll start by looking at a new scenario for this new application.

9.3.1 Acceptance tests

As we noted in Chapter 4, Data Acquisition Features: Web APIs and Scraping, we can provide a large block of text as part of a Gherkin scenario. This can be the contents of an input file. We can consider something like the following scenario.