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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

7.1.3 Deliverables

This project has the following deliverables:

  • A requirements-dev.txt file that identifies the tools used, usually jupyterlab==3.5.3.

  • Documentation in the docs folder.

  • Unit tests for any new changes to the modules in use.

  • Any new application modules with code to be used by the inspection notebook.

  • A notebook to inspect the attributes that appear to have cardinal data.

This project will require a notebooks directory. See List of deliverables for some more information on this structure.

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

Inspection module

You are encouraged to refactor functions like samples_iter(), non_numeric(), and numeric_filter() into a separate module. Additionally, the AttrSummary class and the closely related summary_iter() function are also good candidates for being moved to a separate module with useful inspection classes and functions.

Notebooks can be refactored to import these classes and functions from a separate...

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