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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

15.1 Description

This application will create a report on a dataset presenting a number of statistics. This automates the ongoing monitoring aspect of an Analysis Notebook, reducing the manual steps and creating reproducible results. The automated computations stem from having a statistical model for the data, often created in an analysis notebook, where alternative models are explored. This reflects variables with values in an expected range.

For industrial monitoring, this is part of an activity called Gage repeatability and reproducibility. The activity seeks to confirm that measurements are repeatable and reproducible. This is described as looking at a “measurement instrument.” While we often think of an instrument as being a machine or a device, the definition is actually very broad. A survey or questionnaire is a measurement instrument focused on people’s responses to questions.

When these computed statistics deviate from expectations, it suggests something...

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