Applied Computational Thinking with Python

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.

Type
ebook
Category
publication date
2020-11-27
what you will learn

Find out how to use decomposition to solve problems through visual representation
Employ pattern generalization and abstraction to design solutions
Build analytical skills required to assess algorithmic solutions
Use computational thinking with Python for statistical analysis
Understand the input and output needs for designing algorithmic solutions
Use computational thinking to solve data processing problems
Identify errors in logical processing to refine your solution design
Apply computational thinking in various domains, such as cryptography, economics, and machine learning

no of pages
420
duration
840
key features
Develop logical reasoning and problem-solving skills that will help you tackle complex problems * Explore core computer science concepts and important computational thinking elements using practical examples * Find out how to identify the best-suited algorithmic solution for your problem
approach
Complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions, you will begin exploring the four elements of computational thinking: decomposition, pattern recognition, abstraction, and algorithm design. You will then use these elements to create solutions to problems in multiple disciplines using the Python programming language.
audience
This book is for students, developers, and professionals looking to develop problem-solving skills and tactics involved in writing or debugging software programs and applications. Familiarity with Python programming is required.
meta description
Use the computational thinking philosophy to solve complex problems by designing appropriate algorithms to produce optimal results across various domains
short description
Applied Computational Thinking with Python provides a hands-on approach to implementation and associated methodologies that will have you up-and-running, and productive in no time. Developers working with Python will be able to put their knowledge to work with this practical guide using the computational thinking method for problem-solving.
subtitle
Design algorithmic solutions for complex and challenging real-world problems
keywords
Python, Computational Thinking, Decomposition, Pattern Recognition, Algorithm Design, Pattern Generalization and Abstraction, Cryptography, Machine Learning
Product ISBN
9781839219436