An innovative, must-have textbook for anyone who is interested in mastering digital application and Python skills, offering ample opportunities for supervised and unsupervised learning. Thanks to its interactive approach, this book provides a variety of hands-on tasks that utilise basic and advanced concepts in data analysis, automation, machine learning, and data visualisation.
Nadia Gulko, Professor of Accounting Education and Sustainability at University of Lincoln, UK
In Python for Accounting and Finance: A Mind-Mapping Approach, Michael presents a new pedagogical model. Using visual thinking and practical tools to explain Python and prepare accounting and finance students for data-driven environments, this book opens up new horizons in digital learning.
Haiyun Zhang, Professor and Director of the Financial Markets Institute, University of International Business and Economics, China
This book offers an accessible introduction to Python for accounting and finance students without prior coding experience. Its mind-mapping approach simplifies complex concepts while fostering analytical thinking and practical problem-solving. At a time when the QAA calls for coding skills within accounting curricula, this resource is both timely and essential.
Joan Ballantine, Professor of Accounting at Ulster University, UK
Essential reading for accounting and finance students and professionals looking to code in Python. The text takes readers from an introduction to contemporary topics such as web scraping, accessing cryptocurrency data and machine learning. The book has a commendable and practical scope, adopting the novel visual approach of using mind-mapping to spark creativity and enhance productivity.
Angus Duff, Retired Professor of Accounting at University of the West of Scotland, UK
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