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Applied Computational Thinking with Python

Applied Computational Thinking with Python

By : Sofía De Jesús, Dayrene Martinez
4.6 (11)
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Applied Computational Thinking with Python

Applied Computational Thinking with Python

4.6 (11)
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)
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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 10: Control Flow

In this chapter, we will take a deeper look at problems and identify the input and output necessary to design an algorithm for our problems. Throughout this chapter, you will learn how algorithms are read and the order in which instructions are carried out. You will also learn how to use functions and loops to manipulate the control flow in your algorithms.

We will cover the following topics in this chapter:

  • Defining control flow and its tools
  • Using if, for, and range() and other control flow tools
  • Using loops and conditionals
  • Revisiting functions

By the end of the chapter, we will learn how control flow is defined, how we use the if, for, and range() functionalities when designing algorithms in computational thinking, and how to incorporate these functionalities into function definitions in our algorithms. Let's take a look at what control flow is first.

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