num_pages: 0
description: Use the computational thinking philosophy to solve complex problems by designing appropriate algorithms to produce optimal results across various domains 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. Youll 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. 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.
language: English
title: Applied Computational Thinking with Python: Design algorithmic solutions for complex and challenging real-world problems
publisher: Packt Publishing