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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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Identifying logic errors

Before we talk too much about logic errors, let's talk about why it's important to keep them in mind. In Python, not all errors lead to a failed or crashed program. Some logic errors will allow a program to run entirely without crashing at all or alerting the user of an error. Those errors are hard to identify.

Here are some logic errors that can get us in trouble, but keep in mind that there are many ways to incorporate logic errors into our programs accidentally:

  • Using the wrong variable in an equation or statement
  • Using the wrong operator to test conditions
  • Using the wrong indentation when checking for conditions

The one I am the guiltiest of is switching my variables, but I do also make mistakes in indentation often. Usually, those get identified more often when I try to run the program, because the program may fail to run in some instances.

Let's take a look at a simple algorithm that contains an error in a...

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