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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

1.7 Extras

Here are some ideas for you to add to this project.

1.7.1 Static analysis - mypy, flake8

There are several common static analysis tools that are as essential as automated testing:

  • mypy checks type annotations to be sure the functions and classes will interact properly.

  • flake8 does other syntax checks to make sure the code avoids some of the more common Python mistakes.

  • black can be used to check the formatting to make sure it follows the recommended style. The black application can also be used to reformat a new file.

  • isort can be used to put a long collection of import statements into a consistent order.

Once the application passes the functional tests in the *.feature files, these additional non-functional tests can be applied. These additional tests are often helpful for spotting more nuanced problems that can make a program difficult to adapt or maintain.

1.7.2 CLI features

The command-language interface permits a single option, the --who option, to provide a...

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