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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Chapter 11: Using Computational Thinking and Python in Simple Challenges

In this chapter, we will take a look again at the computational thinking process and apply it to design algorithms that help us solve various scenarios and problems. As we wrap up Section 2, Applying Python and Computational Thinking, of this book, we will combine some of the knowledge about Python capabilities with the computational thinking process to solve these problems.

In this chapter, we will cover the following topics:

  • Defining the problem and Python
  • Decomposing the problem and using Python functionalities
  • Generalizing the problem and planning Python algorithms
  • Designing and testing the algorithm

By the end of this chapter, you will be able to design algorithms that best fit the scenarios presented. You will also be able to identify Python functions that best align with the problems presented and generalize your solutions.