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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Section 2:Applying Python and Computational Thinking

There are multiple options when it comes to programming languages. The Python programming language is a powerful, open source, object-oriented programming language. It is a high-level programming language with an ever-growing number of libraries and packages that continue to expand its capabilities. We can use Python to program things from simple mathematical algorithms to complex data science algorithms, and even machine learning. Understanding Python also means understanding multiple areas of computational thinking.

In this section, you will learn how to use the computational thinking process when solving problems using the Python programming language.

This section comprises the following chapters:

  • Chapter 8, Introduction to Python
  • Chapter 9, Understanding Input and Output to Design a Solution Algorithm
  • Chapter 10, Control Flow
  • Chapter 11, Using Computational Thinking and Python in Simple Challenges...