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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Problem 5 – Using Python for cryptography

Cryptography is what we use to code and decode messages. We used a simple Caesar cipher in Chapter 9, Understanding Input and Output to Design a Solution Algorithm. For this problem, we're going to use some of the packages available in Python to encrypt and decode information.

Note that for this particular scenario, we'll use the straightforward analysis from using the four elements of the computational thinking process. While we don't always follow them exactly, this particular problem lends itself to a fairly straightforward use.

Defining the problem (cryptography)

You are working on a classified project and need to encrypt your information to maintain its safety.

Recognizing the pattern (cryptography)

Python has a cryptography package that can be installed, much like when we installed other libraries, such as Pandas and NumPy. In our problem, one of the main things we need to know is that we may need...