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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

3.5 Extras

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

3.5.1 Logging enhancements

We skimmed over logging, suggesting only that it’s important and that the initialization for logging should be kept separate from the processing within the main() function.

The logging module has a great deal of sophistication, however, and it can help to explore this. We’ll start with logging ”levels”.

Many of our logging messages will be created with the INFO level of logging. For example:

logger.info("%d rows processed", input_count)

This application has a number of possible error situations that are best reflected with error-level logging.

Additionally, there is a tree of named loggers. The root logger, named "", has settings that apply to all the lower-level loggers. This tree tends to parallel the way object inheritance is often used to create classes and subclasses. This can make it advantageous to create loggers for each class...

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