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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

1.3 List of deliverables

We’ll take another look at the project, this time from the view of what files will be created. This will parallel the outline of the activities shown in the previous section.

The following outline shows many of the files in a completed project:

  • The documentation in the docs directory. There will be other files in there, but you’ll be focused on the following files:

    • The Sphinx index.rst starter file with references to overview and API sections.

    • An overview.rst section with a summary of the project.

    • An api.rst section with .. automodule:: commands to pull in documentation from the application.

  • A set of test cases in the tests directory.

    • Acceptance tests aimed at Behave (or the pytest-bdd plug-in for Gherkin). When using Behave, there will be two sub-directories: a features directory and a steps directory. Additionally, there will be an environment.py file.

    • Unit test modules written with the pytest framework. These all have a name that starts...

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