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Python for Accounting and Finance

A Mind-Mapping Approach

Michael Xin Guo (Autor)

Buch | Softcover

358 Seiten

2026
Routledge (Verlag)
978-1-041-10813-9 (ISBN)

Noch nicht erschienen (ca. Juni 2026)
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Python for Accounting and Finance is an innovative textbook written for accounting and finance students and professionals with no prior coding experience. It introduces Python programming through a mind mapping approach that presents complex concepts in a clear and structured way to support understanding and retention.

Python for Accounting and Finance: A Mind Mapping Approach is an innovative textbook written for accounting and finance students and professionals with no prior coding experience. It introduces Python programming through a mind mapping approach that presents complex concepts in a clear and structured way to support understanding and retention.

The book is organised into four parts: Python Basics, Data Analysis and Visualisation, Automation, and Machine Learning. It places programming within practical accounting and finance contexts so that learners can see the direct application of coding in their field. The textbook uses mind maps as a core instructional method. These visual diagrams show programming concepts and their connections, helping learners to understand, organise and recall information, particularly those who learn through visual representation.

Enhanced with Google Colab notebooks, this book creates a highly supportive learning experience, equipping students of accounting and finance with essential programming skills for their speciality.

Michael Xin Guo is a Senior Lecturer at the University of the West of Scotland and a Senior Fellow of the Higher Education Academy.

1. Introduction to Python and Mind Mapping Approach 2. Fundamentals of Python 3. Control Structures 4. Data Structures and Python Tools 5. Working with DataFrames 6. Exploratory Data Analysis 7. Time Series and Panel Data Analysis 8. Data Visualisation Techniques 9. Automating Tasks 10. Web Scraping and Accessing Cryptocurrency Data 11. Introduction to Machine Learning 12. Supervised Learning 13. Unsupervised Learning 14. Advanced Machine Learning and Financial Modelling

Erscheint lt. Verlag	5.6.2026
Zusatzinfo	34 Tables, black and white; 128 Line drawings, color; 1 Line drawings, black and white; 128 Illustrations, color; 1 Illustrations, black and white
Verlagsort	London
Sprache	englisch
Maße	174 x 246 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Theorie / Studium
	Wirtschaft ► Betriebswirtschaft / Management
	Wirtschaft ► Volkswirtschaftslehre
ISBN-10	1-041-10813-3 / 1041108133
ISBN-13	978-1-041-10813-9 / 9781041108139
Zustand	Neuware