Python Data Science Handbook: Essential Tools for Working with Data

Author:   Jake Vanderplas
Publisher:   O'Reilly Media
Edition:   2nd edition
ISBN:  

9781098121228


Pages:   550
Publication Date:   31 December 2022
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Python Data Science Handbook: Essential Tools for Working with Data


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Author:   Jake Vanderplas
Publisher:   O'Reilly Media
Imprint:   O'Reilly Media
Edition:   2nd edition
Dimensions:   Width: 17.80cm , Height: 3.00cm , Length: 23.30cm
Weight:   0.925kg
ISBN:  

9781098121228


ISBN 10:   1098121228
Pages:   550
Publication Date:   31 December 2022
Audience:   General/trade ,  General ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Jake VanderPlas is a software engineer at Google Research, working on tools that support data-intensive research. He maintains a technical blog, Pythonic Perambulations, to share tutorials and opinions related to statistics, open software, and scientific computing in Python. He creates and develops Python tools for use in data-intensive science, including packages like Scikit-Learn, SciPy, AstroPy, Altair, JAX, and many others. He participates in the broader data science community, developing and presenting talks and tutorials on scientific computing topics at various conferences in the data science world.

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