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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Chapter 6: Designing Solutions and Solution Processes

In this chapter, we will design solutions to multiple problems, using previously learned content, such as analysis of the problem and the computational thinking process. We will incorporate logical processing to create visual representations of the decision process that will guide our algorithm design. Visual representations discussed include diagrams, flow charts, and other helpful processes. In this chapter, we will learn about the key elements of solution design; how to create, use, and apply diagrams in our solution processing and design; and we will look at applying the solution design process to various problems.

In this chapter, we will cover the following topics:

  • Designing solutions
  • Diagramming solutions
  • Creating solutions

In order to further our knowledge of algorithms and solution design, we need to look more closely at the frontend of problems. We will begin by discussing the process of designing...