Python Data Science Handbook, 2nd Edition
Essential Tools for Working with Data
$162.54
- Paperback
550 pages
- Release Date
31 December 2022
Summary
Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all-IPython, NumPy, pandas, Matplotlib, Scikit-Learn, and other related tools.
Working scientists and data crunchers familiar with reading and writing Python code will find the second edition o…
Book Details
| ISBN-13: | 9781098121228 |
|---|---|
| ISBN-10: | 1098121228 |
| Author: | Jake Vanderplas |
| Publisher: | O'Reilly Media |
| Imprint: | O'Reilly Media |
| Format: | Paperback |
| Number of Pages: | 550 |
| Edition: | 2nd |
| Release Date: | 31 December 2022 |
| Weight: | 925g |
| Dimensions: | 233mm x 178mm x 30mm |
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About The Author
Jake Vanderplas
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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