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  • Book Overview & Buying The Python Workshop Second Edition
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The Python Workshop Second Edition

The Python Workshop Second Edition - Second Edition

By : Wade, Mario Corchero Jiménez , Bird, Dr. Lau Cher Han, Graham Lee
4.6 (20)
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The Python Workshop Second Edition

The Python Workshop Second Edition

4.6 (20)
By: Wade, Mario Corchero Jiménez , Bird, Dr. Lau Cher Han, Graham Lee

Overview of this book

Python is among the most popular programming languages in the world. It’s ideal for beginners because it’s easy to read and write, and for developers, because it’s widely available with a strong support community, extensive documentation, and phenomenal libraries – both built-in and user-contributed. This project-based course has been designed by a team of expert authors to get you up and running with Python. You’ll work though engaging projects that’ll enable you to leverage your newfound Python skills efficiently in technical jobs, personal projects, and job interviews. The book will help you gain an edge in data science, web development, and software development, preparing you to tackle real-world challenges in Python and pursue advanced topics on your own. Throughout the chapters, each component has been explicitly designed to engage and stimulate different parts of the brain so that you can retain and apply what you learn in the practical context with maximum impact. By completing the course from start to finish, you’ll walk away feeling capable of tackling any real-world Python development problem.
Table of Contents (16 chapters)
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13
Chapter 13: The Evolution of Python – Discovering New Python Features

The don’ts of plotting graphs

In newspapers, blogs, or social media, there are a lot of misleading graphs that make people misunderstand the actual data. We will look at some examples of this in this section and learn how to avoid them.

Manipulating the axis

Imagine that you have three students with three different scores from an exam. Now, you have to plot their scores on a bar chart. There are two ways to do this – the misleading way and the right way:

Figure 4.23 – Chart A (starts from 80) and Chart B (starts from 0)

Looking at Chart A, it will be interpreted that the score of student A is about 10 times higher than students B and C. However, that is not the case. The scores for the students are 96, 81, and 80, respectively. Chart A is misleading because the Y-axis ranges from 80 to 100. The correct Y-axis should range from 0 to 100, as in Chart B. This is simply because the minimum score a student can get is 0, and the maximum...

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The Python Workshop Second Edition
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