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Applied Computational Thinking with Python

Applied Computational Thinking with Python

By : Sofía De Jesús, Dayrene Martinez
4.6 (11)
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Applied Computational Thinking with Python

Applied Computational Thinking with Python

4.6 (11)
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)
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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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Diagramming solutions

When we are designing algorithms, we often use diagrams and flowcharts to help us analyze the process and visually see where our decisions are made. These diagrams allow us to create better algorithms. You'll remember that we created a flowchart in Chapter 5, Exploring Problem Analysis, when we were building a store (Figure 5.1 and Figure 5.2).

The process of creating these diagrams varies by developer or coder. For example, I usually create a brainstorm for the problem, then a flowchart from that information. To look at that process, let's go back to our survey problem from earlier in this chapter. Look at the following brainstorm. It is not complete, as you can add a lot of sub-topics. This brainstorm assumes we are surveying stakeholders to evaluate and share feedback on a school website.

Figure 6.2 – Brainstorm diagram

As you can see from the diagram, there are many considerations to be made. The actual survey...

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Applied Computational Thinking with Python
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