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Python data science handbook : essential tools for working with data

. O'Reilly Media, Inc, Sebastopol, CA, (2016)

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Ekkehard Jäkel

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Data Science mit Python : das Handbuch für den Einsatz von IPython, Jupyter, NumPy, Pandas, Matplotlib, Scikit-Learn. mitp, Frechen, (2018)SciPy 1.0: Fundamental algorithms for scientific computing in Python, , , , , , , , , и 25 other автор(ы). Nature Methods, (марта 2020)Hierarchical Probabilistic Models for Group Anomaly Detection., , , , и . AISTATS, том 15 из JMLR Proceedings, стр. 789-797. JMLR.org, (2011)approxposterior: Approximate Posterior Distributions in Python., и . J. Open Source Softw., 3 (29): 781 (2018)Hack Weeks as a model for Data Science Education and Collaboration., , , , , и . CoRR, (2017)Python Data Science Handbook. O'Reilly Media, Inc., (2016)mst_clustering: Clustering via Euclidean Minimum Spanning Trees.. J. Open Source Softw., 1 (1): 12 (2016)Python data science handbook : essential tools for working with data. O'Reilly Media, Inc, Sebastopol, CA, (2016)Scikit-learn: Machine Learning in Python., , , , , , , , , и 6 other автор(ы). J. Mach. Learn. Res., (2011)SciPy 1.0-Fundamental Algorithms for Scientific Computing in Python., , , , , , , , , и 25 other автор(ы). CoRR, (2019)