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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Understanding the importance of logical reasoning

As we worked through Chapter 3, Understanding Algorithms and Algorithmic Thinking, we learned how to design some basic algorithms while solving computational thinking problems.

In this section, we will understand how important logical reasoning is and how to apply the types of logical reasoning with the help of examples.

As we write algorithms, we'll need to use logical reasoning to create these algorithms.

In simple terms, logical reasoning is the set of steps followed to reach a conclusion. In computational thinking, when we design algorithms, the systematic set of steps we follow are part of the algorithm. The way a computer reads those algorithms depends on how we write that algorithm. There are two types of logical reasoning arguments, which are as follows:

  • Inductive reasoning
  • Deductive reasoning

Before we define those in more depth, let's look at why logical reasoning is so important and why...