Book Image

Applied Computational Thinking with Python

By : Sofía De Jesús, Dayrene Martinez
Book Image

Applied Computational Thinking with Python

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)
Section 1: Introduction to Computational Thinking
Section 2:Applying Python and Computational Thinking
Section 3:Data Processing, Analysis, and Applications Using Computational Thinking and Python
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Defining the problem and Python

We are going to dive into our first scenario. You are launching a campaign for a product you've designed. You're looking for investments that add up to $100,000 in pledges. You want to create an algorithm that saves information on the pledges made for you, while also providing information about the products each pledge provides. There are some things you need to identify before you write an algorithm:

  • How many types of pledges will you run in your campaign?
  • Will there be a donation-only pledge? Do donations get anything at all, such as a sticker, electronic certificate, or other product swag?
  • What will each of the pledges give the person pledging?

All of these questions will help us plan. But we also have to take into account other things, such as what we need from the algorithm. Is it simply to list the number of pledges or will it also be used to check against an inventory or to create that inventory? Will it count...