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Applied Computational Thinking with Python

You're reading from Applied Computational Thinking with Python Design algorithmic solutions for complex and challenging real-world problems

Product type Paperback

Published in Nov 2020

Publisher Packt

ISBN-13 9781839219436

Length 420 pages

Edition 1st Edition

Languages

Python

Concepts

Design

Authors (2):

Dayrene Martinez

Sofía De Jesús

View More author details

Table of Contents (21) Chapters

Preface

1. Section 1: 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: Exploring Problem Analysis

7. Chapter 6: Designing Solutions and Solution Processes

8. Chapter 7: Identifying Challenges within Solutions

9. Section 2:Applying Python and Computational Thinking

10. Chapter 8: Introduction to Python

11. Chapter 9: Understanding Input and Output to Design a Solution Algorithm

12. Chapter 10: Control Flow

13. Chapter 11: Using Computational Thinking and Python in Simple Challenges

14. Section 3:Data Processing, Analysis, and Applications Using Computational Thinking and Python

15. Chapter 12: Using Python in Experimental and Data Analysis Problems

16. Chapter 13: Using Classification and Clusters

17. Chapter 14: Using Computational Thinking and Python in Statistical Analysis

18. Chapter 15: Applied Computational Thinking Problems

19. Chapter 16: Advanced Applied Computational Thinking Problems

20. Other Books You May Enjoy

Technical requirements

You will need to install the latest version of Python for running the code in this chapter.

You will also need to have a few libraries installed, including NumPy, pandas, Matplotlib, and Seaborn.

You may choose to use an integrated environment to run Python, such as Anaconda, which can simplify the library dependencies and is helpful in organizing your algorithm in notebooks.

The source code used in this chapter can be found in the GitHub repository here: https://github.com/PacktPublishing/Applied-Computational-Thinking-with-Python/tree/master/Chapter12

The rest of the chapter is locked

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Authors (2)

Sofía De Jesús

Sofía De Jesús

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.

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Martinez

Martinez

Emilio Rodriguez Martinez is a senior software engineer who has been working on highly demanding JavaScript projects since 2010. He transitioned from web development positions into mobile development, first with hybrid technologies such as Cordova and then with native JavaScript solutions such as Titanium. In 2015, he focused on the development and maintenance of several apps built in React Native, some of which were featured in Apple's App Store as the top apps of the week. He is also an active contributor to React Native's codebase and Stack Overflow, where he provides advice on React and React Native questions.

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