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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

6.1 Description

When confronted with raw data acquired from a source application, database, or web API, it’s prudent to inspect the data to be sure it really can be used for the desired analysis. It’s common to find that data doesn’t precisely match the given descriptions. It’s also possible to discover that the metadata is out of date or incomplete.

The foundational principle behind this project is the following:

We don’t always know what the actual data looks like.

Data may have errors because source applications have bugs. There could be ”undocumented features,” which are similar to bugs but have better explanations. There may have been actions made by users that have introduced new codes or status flags. For example, an application may have a ”comments” field on an accounts-payable record, and accounting clerks may have invented their own set of coded values, which they put in the last few characters of this field. This...

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