Literaturverzeichnis

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Hans-Bernhard Woyand. Python für Ingenieure und Naturwissenschaftler. Hanser, München, 2021.

[2]

S. Kumar. Python for Accounting and Finance: An Integrative Approach to Using Python for Research. Springer Nature Switzerland, 2024. ISBN 9783031546808. URL: https://link.springer.com/book/10.1007/978-3-031-54680-8.

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N.J. Untwal and U. Kose. Data Analytics for Finance Using Python. Advances in Digital Technologies for Smart Applications. CRC Press, 2024. ISBN 9781040264003. URL: https://ebookcentral.proquest.com/lib/tuchemnitz/detail.action?docID=31544048.

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M.F. Dixon, I. Halperin, and P. Bilokon. Machine Learning in Finance: From Theory to Practice. Springer International Publishing, 2020. ISBN 9783030410681. URL: https://doi.org/10.1007/978-3-030-41068-1.

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Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, and Jonathan Taylor. An Introduction to Statistical Learning with Applications in Python. Springer Texts in Statistics. Springer Cham, 2023. ISBN 978-3-031-38747-0. URL: https://doi.org/10.1007/978-3-031-38747-0.

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Thomas Haslwanter. An Introduction to Statistics with Python. Statistics and Computing. Springer Cham, 2022. ISBN 978-3-030-97371-1. URL: https://doi.org/10.1007/978-3-030-97371-1.

[7]

C. Huang and A. Petukhina. Applied Time Series Analysis and Forecasting with Python. Statistics and Computing. Springer International Publishing, 2022. ISBN 9783031135842. URL: https://doi.org/10.1007/978-3-031-13584-2.