Book Image

Applied Computational Thinking with Python

By : Sofía De Jesús, Dayrene Martinez
Book Image

Applied Computational Thinking with Python

By: Sofía De Jesús, Dayrene Martinez

Overview of this book

Computational thinking helps you to develop logical processing and algorithmic thinking while solving real-world problems across a wide range of domains. It's an essential skill that you should possess to keep ahead of the curve in this modern era of information technology. Developers can apply their knowledge of computational thinking to solve problems in multiple areas, including economics, mathematics, and artificial intelligence. This book begins by helping you get to grips with decomposition, pattern recognition, pattern generalization and abstraction, and algorithm design, along with teaching you how to apply these elements practically while designing solutions for challenging problems. You’ll then learn about various techniques involved in problem analysis, logical reasoning, algorithm design, clusters and classification, data analysis, and modeling, and understand how computational thinking elements can be used together with these aspects to design solutions. Toward the end, you will discover how to identify pitfalls in the solution design process and how to choose the right functionalities to create the best possible algorithmic solutions. By the end of this algorithm book, you will have gained the confidence to successfully apply computational thinking techniques to software development.
Table of Contents (21 chapters)
Section 1: Introduction to Computational Thinking
Section 2:Applying Python and Computational Thinking
Section 3:Data Processing, Analysis, and Applications Using Computational Thinking and Python
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Problem 3 – Using Python to calculate text readability

In this section, we'll look at an application relating to linguistics, specifically the readability level of any text. We will be using Martin Luther King's I Have a Dream speech in the code snippets that follow. You can substitute this for any text file, so long as you change the location of the file and filename to be accurately reflected in the code. The full code can be found in the file.

Before we get into the code, let's talk first about what we're looking for and why it's important. Learning about the readability of texts can help us make decisions about whether or not to include them in a presentation, a school grade level, and much more. The Flesch-Kincaid score is used to determine readability and was developed in the 1940s.

Rudolf Flesch created it when working as a consultant with the Associated Press in an effort to improve the readability of newspapers. Originally...