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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Using if, for, and range() and other control flow statements

Let's start with if statements, which we first discussed in Chapter 4, Understanding Logical Reasoning. These are probably the most commonly used and known statements in algorithm design. You may recall learning about conditional statements in geometry as you studied reasoning and proofs. In those classes, you would write statements in if-then format. Take the following statement:

When it rains, I wear a raincoat.

This is not a conditional statement, at least not yet. If we were going to write it as a conditional sentence, then we'd have to have the if-then format, much like this sentence. Take a look at the converted statement that follows:

If it rains, then I wear a raincoat.

As you can see, we use conditions as part of our everyday lives. We just don't point them out.

When writing algorithms, we have to explicitly state what we need the algorithm to do, so we have to explicitly state these...