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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Designing solutions

When we are designing solutions, we often use a design thinking model, even if we don't always realize it. Design thinking is described by different models, but we'll be looking at the five-step model that is most commonly seen when using design thinking.

In conjunction with computational thinking, the design thinking process can help us evolve our ideas before we start diagramming solutions. It should be noted that we don't go through the design thinking process linearly, much like in computational thinking. Think about the steps in computational thinking:

  • Problem decomposition
  • Pattern recognition
  • Abstraction
  • Algorithm design

We have defined all these steps in previous chapters, most recently in the introduction to Chapter 5, Exploring Problem Analysis. Looking at them again, we know that we can go back to the decomposition as we're writing and designing the algorithm. That's what we mean by non-linear processes...