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  • Book Overview & Buying Applied Computational Thinking with Python
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Applied Computational Thinking with Python

Applied Computational Thinking with Python - Second Edition

By : Sofía De Jesús, Martinez
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Applied Computational Thinking with Python

Applied Computational Thinking with Python

By: Sofía De Jesús, 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 (25 chapters)
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1
Part 1: An Introduction to Computational Thinking
10
Part 2: Applying Python and Computational Thinking
16
Part 3: Data Processing, Analysis, and Applications Using Computational Thinking and Python

Integrating Python with Amazon Web Services (AWS)

As we progress, we’ll stick with Python and computational thinking to solve problems. Excitingly, we’ll also explore AWS to enhance our problem-solving capabilities. Think of it as combining Python’s reliability with AWS’s endless possibilities. This will expand our toolkit, making it more creative and efficient for tackling various challenges. Rest assured, we’ll continue using the skills we’ve learned so far while harnessing AWS’s vast potential. Get ready for an exciting journey of discovery and innovation!

In this chapter, we will provide an overview of AWS, guide you through setting up an AWS account, explore core AWS services for Python integration, investigate the Extract, Transform, Load (ETL) process, and discuss security and best practices.

In this chapter, we’ll cover the following topics:

  • Overview of AWS
  • Setting up for AWS
  • AWS services
  • Python...
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Tech Concepts
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Programming languages
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Applied Computational Thinking with Python
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