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)
1
Section 1: Introduction to Computational Thinking
9
Section 2:Applying Python and Computational Thinking
14
Section 3:Data Processing, Analysis, and Applications Using Computational Thinking and Python
20
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Creating solutions

When we are presented with problems, we want to create solutions that address the information we have been provided, with an algorithm that provides everything needed and that is easily understood by the user. In this section, we'll take the content we've been learning in this chapter in order to design solutions to problems.

As we create these solutions using our brainstorms and flowcharts, we should be considering the following:

  • Does the solution we have planned address the problem?
  • Does the solution design show a clear path for the algorithm to be successful?

And if the answers to those questions are yes, then we can start coding the solution. Remember, we need to test the algorithm as often as we can. Here are some things to keep in mind when writing the algorithm:

  • Add comments to identify sections you may need to go back to and that clearly help to identify and define your variables, dictionaries, functions, and any...