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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

11.3 Deliverables

The refactoring of existing applications to formalize the interim file formats leads to changes in existing projects. These changes will ripple through to unit test changes. There should not be any acceptance test changes when refactoring the data model modules.

Adding a ”pick up where you left off” feature, on the other hand, will lead to changes in the application behavior. This will be reflected in the acceptance test suite, as well as unit tests.

The deliverables depend on which projects you’ve completed, and which modules need revision. We’ll look at some of the considerations for these deliverables.

11.3.1 Unit test

A function that creates an output file will need to have test cases with two distinct fixtures. One fixture will have a version of the output file, and the other fixture will have no output file. These fixtures can be built on top of the pytest.tmp_path fixture. This fixture provides a unique temporary directory that...

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