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 4: Understanding Logical Reasoning

In this chapter, we will explore logical reasoning processes such as conditional statements, algorithmic reasoning, and Boolean logic. We will explore inductive and deductive reasoning before delving deeper into some logic operators. We will also learn about logic errors, how to identify them, and how to correct them.

In addition, we will be looking at writing algorithms using logic to solve computational thinking problems.

In this chapter, we will cover the following topics:

  • Understanding the importance of logical reasoning
  • Using Boolean logic and operators
  • Identifying logic errors

When solving computational thinking problems, logical reasoning is necessary. We all know that programming code has steps that are followed linearly. Imagine we have 10 lines of code. If we do not apply logical reasoning, the code reads one line at a time—reads the first line, reads the second line, and so on until the last...