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.
Preface
Section 1: Introduction to Computational Thinking
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Chapter 1: Fundamentals of Computer Science
Chapter 2: Elements of Computational Thinking
Chapter 3: Understanding Algorithms and Algorithmic Thinking
Chapter 4: Understanding Logical Reasoning
Chapter 5: Exploring Problem Analysis
Chapter 6: Designing Solutions and Solution Processes
Chapter 7: Identifying Challenges within Solutions
Section 2:Applying Python and Computational Thinking
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
Section 3:Data Processing, Analysis, and Applications Using Computational Thinking and Python
Chapter 12: Using Python in Experimental and Data Analysis Problems
Chapter 13: Using Classification and Clusters
Chapter 14: Using Computational Thinking and Python in Statistical Analysis
Chapter 15: Applied Computational Thinking Problems
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Problem 2 - Organizing information

We've been asked to create an algorithm that takes three numbers as input and provides the sum of the numbers. There are multiple ways we can do this, but let's look at using the `eval()` function:

ch8_Sums.py

```a = int(input("Provide the first number to be added. "))
b = int(input("Please provide the second number to be added. "))
c = int(input("Provide the last number to be added. "))
print(eval('a + b + c'))```

Notice that we defined each of the input variables as an `int` type. This is defined so that the evaluation is done correctly.

Here is the output for our algorithm:

```Provide the first number to be added. 1
Please provide the second number to be added. 2
Provide the last number to be added. 3
6```

If we had forgotten to add the type for each of the numbers, the function would have evaluated that as `123` instead because it just adds each string to the next one. So, if our input had been...