Python for accounting and finance: an integrative approach to using Python for research

By:

Kumar, Sunil

Material type: Text

TextPublication details: Springer Cham 2024Description: xvi, 508 pISBN:

9783031546792

Subject(s):

DDC classification:

005.133 KUM

Summary: 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. (https://link.springer.com/book/10.1007/978-3-031-54680-8)

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	IT & Decisions Sciences	005.133 KUM (Browse shelf(Opens below))	1	Available		007843

Table of contents:
Front Matter
Pages i-xvi
Download chapter PDF
Introduction and Fundamentals
Front Matter
Pages 1-1
Download chapter PDF
Introduction to Python for Accounting and Finance Research
Sunil Kumar
Pages 3-9
Introduction to Python Language
Sunil Kumar
Pages 11-30
Regular Expressions for Python
Sunil Kumar
Pages 31-57
Important Python Libraries
Sunil Kumar
Pages 59-88
Data Acquisition and Cleaning
Front Matter
Pages 89-89
Download chapter PDF
Accessing Data from WRDS
Sunil Kumar
Pages 91-99
Accessing Data from SEC EDGAR
Sunil Kumar
Pages 101-107
Accessing Data from Other Sources
Sunil Kumar
Pages 109-124
Text Extraction and Cleaning
Sunil Kumar
Pages 125-132
Text Normalization
Sunil Kumar
Pages 133-145
Corpus
Sunil Kumar
Pages 147-154
Exploratory Data Analysis and Visualization
Front Matter
Pages 155-155
Download chapter PDF
Data Visualization: Numerical Data
Sunil Kumar
Pages 157-178
Data Visualization: Text Data
Sunil Kumar
Pages 179-198
Descriptive Statistics
Sunil Kumar
Pages 199-210
Natural Language Processing and Text Analysis
Front Matter
Pages 211-211
Download chapter PDF
Topic Modeling
Sunil Kumar
Pages 213-241
Word Embeddings
Sunil Kumar
Pages 243-248

(https://link.springer.com/book/10.1007/978-3-031-54680-8)

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.

(https://link.springer.com/book/10.1007/978-3-031-54680-8)

There are no comments on this title.

to post a comment.