| 書目名稱 | Python for Accounting and Finance | | 副標(biāo)題 | An Integrative Appro | | 編輯 | Sunil Kumar | | 視頻video | http://file.papertrans.cn/765/764241/764241.mp4 | | 概述 | 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 | | 圖書封面 |  | | 描述 | .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, | | 出版日期 | Book 2024 | | 關(guān)鍵詞 | Python for accounting; finance research; data analysis; predictive modeling; Python applications; financi | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-54680-8 | | isbn_softcover | 978-3-031-54682-2 | | isbn_ebook | 978-3-031-54680-8 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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