Applied Computational Thinking with Python: Algorithm design for complex real-world problems

by Sofía De Jesús, Dayrene Martinez

Overview

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.

Product Details

ISBN-13:	9781837631087
Publisher:	Packt Publishing
Publication date:	12/29/2023
Sold by:	Barnes & Noble
Format:	eBook
Pages:	438
File size:	10 MB

About the Author

Sofía De Jesús is a computational thinking teacher with a degree from the University of Puerto Rico with a focus on math. She has a master's degree from the University of Dayton. Her experience in education and development spans two decades. She has worked with clients to develop solutions in multiple programming languages. As a teacher, Sofía helps students incorporate the philosophy of computational thinking in courses like game design, circuits, Python, web design, and robotics. She likes to play video games and spend time with her 11 year old Yorkie, King Kong. Sofía also enjoys creating materials, small furniture, and jewelry using CNC machines and laser cutters. She enjoys spending as much time in Puerto Rico as work and life permits.
Dayrene Martinez is a data engineer specializing in AI at one of the Big Four consulting firms. She holds a bachelor's degree in electrical engineering. Her expertise includes optimizing neural network models, ETL and AWS cloud computing. Previously, she was a systems engineer in the defense industry, developing neural networks for aerospace vehicle decision-making. Dayrene is a dedicated and passionate engineer who serves as a keynote speaker and mentor inspiring high school students, college students, and career changers in engineering and tech by sharing her experiences and insights, making a positive impact on the next generation of talent in the field.

Table of Contents

Table of Contents

1. Fundamentals of Computer Science
2. Elements of Computational Thinking
3. Understanding Algorithms and Algorithmic Thinking
4. Understanding Logical Reasoning
5. Errors
6. Exploring Problem Analysis
7. Designing Solutions and Solution Processes
8. Identifying Challenges within Solutions
9. Introduction to Python
10. Understanding Input and Output to Design a Solution Algorithm
11. Control Flow
12. Using Computational Thinkning and Python in Simples Challenges
13. Debugging
14. Using Python in Experimental and Data Analysis
15. Using Classification and Clusters Introduction to Machine Learning
16. Using Computational Thinking and Pythin in Statistical Analysis
17. Applied Computational Thinking Problems
18. Advanced Applied Computational Thinking Problems
19. Usage of Cloud Platforms