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Applied Computational Thinking with Python

You're reading from   Applied Computational Thinking with Python Algorithm design for complex real-world problems

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Product type Paperback
Published in Dec 2023
Publisher Packt
ISBN-13 9781837632305
Length 438 pages
Edition 2nd Edition
Languages
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Authors (2):
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Sofía De  Jesús Sofía De Jesús
Author Profile Icon Sofía De Jesús
Sofía De Jesús
 Martinez Martinez
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Martinez
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Toc

Table of Contents (25) Chapters Close

Preface 1. Part 1: An Introduction to Computational Thinking
2. Chapter 1: Fundamentals of Computer Science FREE CHAPTER 3. Chapter 2: Elements of Computational Thinking 4. Chapter 3: Understanding Algorithms and Algorithmic Thinking 5. Chapter 4: Understanding Logical Reasoning 6. Chapter 5: Errors 7. Chapter 6: Exploring Problem Analysis 8. Chapter 7: Designing Solutions and Solution Processes 9. Chapter 8: Identifying Challenges within Solutions 10. Part 2: Applying Python and Computational Thinking
11. Chapter 9: Introduction to Python 12. Chapter 10: Understanding Input and Output to Design a Solution Algorithm 13. Chapter 11: Control Flow 14. Chapter 12: Using Computational Thinking and Python in Simple Challenges 15. Chapter 13: Debugging 16. Part 3: Data Processing, Analysis, and Applications Using Computational Thinking and Python
17. Chapter 14: Using Python in Experimental and Data Analysis Problems 18. Chapter 15: Introduction to Machine Learning 19. Chapter 16: Using Computational Thinking and Python in Statistical Analysis 20. Chapter 17: Applied Computational Thinking Problems 21. Chapter 18: Advanced Applied Computational Thinking Problems 22. Chapter 19: Integrating Python with Amazon Web Services (AWS) 23. Index 24. Other Books You May Enjoy

Summary

In this chapter, we discussed the definition of an algorithm, which is a set of steps that allows a computer to complete a process and provide some output. We went through the characteristics of algorithms.

We designed algorithms based on problem scenarios and then analyzed algorithms to determine whether they met the characteristics needed to run properly. Understanding the characteristics of algorithms and how algorithms work allows us to create algorithms with far fewer errors than if we were unaware of these characteristics. Notice that I said fewer errors.

When working with code, errors are a fact of life. We will inevitably make mistakes and accidentally introduce bugs or make some code loop infinitely. Understanding the characteristics of a good algorithm allows us to reduce those errors, even if we can’t fully eliminate them from our day-to-day work.

In the next chapter, we will learn more about logical reasoning. Throughout the chapter, we will discuss...

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