Overview
- Uses case studies to illustrate how Python can enhance traditional research methods in accounting and finance
- Covers data acquisition, cleaning, exploratory data analysis, visualization, and advanced topics
- Offers a unique blend of theoretical knowledge and real-world examples
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About this book
This book is a comprehensive guide to the application of Python in accounting, finance, and other business disciplines. This book is more than a Python tutorial; it is an integrative approach to using Python for practical research in these fields. The book begins with an introduction to Python and its key libraries. It then covers real-world applications of Python, covering data acquisition, cleaning, exploratory data analysis, visualization, and advanced topics like natural language processing, machine learning, predictive analytics, and deep learning. What sets this book apart is its unique blend of theoretical knowledge and real-world examples, supplemented with ready-to-use code. It doesn't stop at the syntax; it shows how to apply Python to tackle actual analytical problems.
The book uses case studies to illustrate how Python can enhance traditional research methods in accounting and finance, not only allowing the reader to gain a firm understanding of Pythonprogramming but also equipping them with the skills to apply Python to accounting, finance, and broader business research. Whether you are a PhD student, a professor, an industry professional, or a financial researcher, this book provides the key to unlocking the full potential of Python in research.
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Table of contents (27 chapters)
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Front Matter
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Introduction and Fundamentals
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Front Matter
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Data Acquisition and Cleaning
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Front Matter
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Exploratory Data Analysis and Visualization
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Front Matter
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Natural Language Processing and Text Analysis
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Front Matter
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Authors and Affiliations
About the author
Sunil Kumar, Ph.D., C.P.A., currently serves as an assistant professor of Accounting at the Mario J. Gabelli School of Business, Roger Williams University, USA. He is a seasoned academic with a diversified research portfolio. His innovative research approach is deeply rooted in the application of technology, distinguishing him in the academic field of accounting and finance. His command over Python and other advanced computational tools allows him to integrate complex technological processes into his research, enabling a nuanced and comprehensive understanding of accounting and finance phenomena. He is currently involved in several projects that use machine learning and deep learning approaches for predictive modeling in financial contexts, further emphasizing his commitment to leveraging technology in research.
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Bibliographic Information
Book Title: Python for Accounting and Finance
Book Subtitle: An Integrative Approach to Using Python for Research
Authors: Sunil Kumar
DOI: https://doi.org/10.1007/978-3-031-54680-8
Publisher: Palgrave Macmillan Cham
eBook Packages: Economics and Finance, Economics and Finance (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Hardcover ISBN: 978-3-031-54679-2Published: 27 June 2024
Softcover ISBN: 978-3-031-54682-2Published: 27 June 2025
eBook ISBN: 978-3-031-54680-8Published: 26 June 2024
Edition Number: 1
Number of Pages: XVI, 508
Number of Illustrations: 467 b/w illustrations, 33 illustrations in colour
Topics: Financial Engineering, Python, Machine Learning, Natural Language Processing (NLP)