Python for Accounting and Finance : An Integrative Approach to Using Python for Research by Sunil Kumar (2024, Hardcover)

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About this product

Product Identifiers

PublisherPalgrave Macmillan

ISBN-103031546792

ISBN-139783031546792

eBay Product ID (ePID)14065110079

Product Key Features

Book TitlePython for Accounting and Finance : an Integrative Approach to Using Python for Research

Number of PagesXvi, 508 Pages

LanguageEnglish

TopicFinance / Financial Engineering, Finance / General, Probability & Statistics / General, Programming Languages / Python

Publication Year2024

IllustratorYes

GenreMathematics, Computers, Business & Economics

AuthorSunil Kumar

FormatHardcover

Dimensions

Item Length9.3 in

Item Width6.1 in

Additional Product Features

Dewey Edition23

Number of Volumes1 vol.

Dewey Decimal332.072

Table Of ContentChapter 1: Introduction and Fundamentals.- Chapter 2: Data Acquisition and Cleaning.- Chapter 3: Exploratory Data Analysis and Visualization.- Chapter 4: Natural Language Processing and Text Analysis.- Chapter 5: Machine Learning and Predictive Analytics.- Chapter 6: Advanced Topics.

SynopsisThis 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.

LC Classification NumberHG176.7