LEADER 04391nam 22006015 450 001 9910869157203321 005 20240626125350.0 010 $a9783031546808$b(electronic bk.) 010 $z9783031546792 024 7 $a10.1007/978-3-031-54680-8 035 $a(MiAaPQ)EBC31505433 035 $a(Au-PeEL)EBL31505433 035 $a(CKB)32575351000041 035 $a(DE-He213)978-3-031-54680-8 035 $a(OCoLC)1450404741 035 $a(EXLCZ)9932575351000041 100 $a20240626d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPython for Accounting and Finance $eAn Integrative Approach to Using Python for Research /$fby Sunil Kumar 205 $a1st ed. 2024. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Palgrave Macmillan,$d2024. 215 $a1 online resource (502 pages) 311 08$aPrint version: Kumar, Sunil Python for Accounting and Finance Cham : Springer International Publishing AG,c2024 9783031546792 327 $aChapter 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. . 330 $aThis 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 Python programming 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. 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. 606 $aFinancial engineering 606 $aPython (Computer program language) 606 $aMachine learning 606 $aNatural language processing (Computer science) 606 $aFinancial Engineering 606 $aPython 606 $aMachine Learning 606 $aNatural Language Processing (NLP) 615 0$aFinancial engineering. 615 0$aPython (Computer program language) 615 0$aMachine learning. 615 0$aNatural language processing (Computer science) 615 14$aFinancial Engineering. 615 24$aPython. 615 24$aMachine Learning. 615 24$aNatural Language Processing (NLP). 676 $a332.072 700 $aKumar$b Sunil$0868762 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910869157203321 996 $aPython for Accounting and Finance$94171904 997 $aUNINA LEADER 02949nam 22006015 450 001 9910918595703321 005 20250807143322.0 010 $a9789819776160$b(electronic bk.) 010 $z9789819776153 024 7 $a10.1007/978-981-97-7616-0 035 $a(MiAaPQ)EBC31855525 035 $a(Au-PeEL)EBL31855525 035 $a(CKB)37065134500041 035 $a(OCoLC)1493047422 035 $a(DE-He213)978-981-97-7616-0 035 $a(EXLCZ)9937065134500041 100 $a20241221d2024 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aProceedings of the First International Conference on Data Engineering and Machine Intelligence $eICDEMI 2023 /$fedited by S. Rakesh Kumar, Seifedine Kadry, N. Gayathri, Pethuru Raj Chelliah 205 $a1st ed. 2024. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2024. 215 $a1 online resource (437 pages) 225 1 $aLecture Notes in Electrical Engineering,$x1876-1119 ;$v1261 311 08$aPrint version: Kumar, S. Rakesh Proceedings of the First International Conference on Data Engineering and Machine Intelligence Singapore : Springer,c2025 9789819776153 330 $aThis volume constitutes peer-reviewed proceedings of the First International Conference on Data Engineering and Machine Intelligence, ICDEMI 2023. The research problems about data engineering and machine learning are covered in this book. The proceedings cover recent contributions and novel developments from researchers across industry and academia in data science, data engineering, artificial intelligence, big data, cloud computing, sustainability, and knowledge-based expert systems from technological and social perspectives. This book will serve as a valuable reference for researchers, instructors, students, scientists, engineers, managers, and industry practitioners. . 410 0$aLecture Notes in Electrical Engineering,$x1876-1119 ;$v1261 606 $aComputational intelligence 606 $aEngineering$xData processing 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aData Engineering 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aEngineering$xData processing. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aData Engineering. 615 24$aArtificial Intelligence. 676 $a006.3 700 $aKumar$b S. Rakesh$01780950 701 $aKadry$b Seifedine$f1977-$01373731 701 $aGayathri$b N$01780951 701 $aRaj$b Pethuru$0786064 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910918595703321 996 $aProceedings of the First International Conference on Data Engineering and Machine Intelligence$94526507 997 $aUNINA