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)
1
Section 1: Introduction to Computational Thinking
9
Section 2:Applying Python and Computational Thinking
14
Section 3:Data Processing, Analysis, and Applications Using Computational Thinking and Python
20
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Problem 6 – Using Python in cybersecurity

For this problem, we've decided to perform a fairly short cybersecurity check. First, let's talk about cybersecurity. The market for cybersecurity is expected to grow by 10% by 2027, according to a Grand View Research report.

Translating that to the job market is a little tricky. Currently in the United States, for example, there are more cybersecurity needs for the market than people or jobs available. That job market growth is expected to be slightly above 30% between 2018 and 2028. So learning a bit about cybersecurity and cryptography won't hurt.

For this particular problem, we are going to explore a few things. First, let's talk about hashing. In cybersecurity, hashing means those really long strings of numbers and letters that replace things such as passwords. For example, if you entered a password of password1 (please don't do that, never use password as a password), the hashing process would replace...