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Python For Accounting And Finance An Integrative Approach To Using Python For Research 2nd Edition Sunil Kumar

  • SKU: BELL-58040556
Python For Accounting And Finance An Integrative Approach To Using Python For Research 2nd Edition Sunil Kumar
$ 31.00 $ 45.00 (-31%)

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Python For Accounting And Finance An Integrative Approach To Using Python For Research 2nd Edition Sunil Kumar instant download after payment.

Publisher: Springer Nature Switzerland/Palgrave Macmillan
File Extension: EPUB
File size: 70.13 MB
Author: Sunil Kumar
ISBN: 9783031546808, 3031546806
Language: English
Year: 2024
Edition: 2

Product desciption

Python For Accounting And Finance An Integrative Approach To Using Python For Research 2nd Edition Sunil Kumar by Sunil Kumar 9783031546808, 3031546806 instant download after payment.

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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