Python Data Science Handbook: Essential Tools for Working with Data by Jake Vand

Description: Python Data Science Handbook by Jake Vanderplas Working scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher Description 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 of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.With this handbook, youll learn how:IPython and Jupyter provide computational environments for scientists using PythonNumPy includes the ndarray for efficient storage and manipulation of dense data arraysPandas contains the DataFrame for efficient storage and manipulation of labeled/columnar dataMatplotlib includes capabilities for a flexible range of data visualizationsScikit-learn helps you build efficient and clean Python implementations of the most important and established machine learning algorithms Author Biography 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. Details ISBN1098121228 Short Title Python Data Science Handbook Pages 550 Language English Edition 2nd ISBN-10 1098121228 ISBN-13 9781098121228 Format Paperback Subtitle Essential Tools for Working with Data DEWEY 006.312 Year 2022 Publication Date 2022-12-31 Place of Publication Sebastopol Country of Publication United States AU Release Date 2022-12-31 NZ Release Date 2022-12-31 US Release Date 2022-12-31 UK Release Date 2022-12-31 Publisher OReilly Media Imprint OReilly Media Author Jake Vanderplas Edition Description 2nd edition Audience General We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:139590752;

Price: 111 AUD

Location: Melbourne

End Time: 2024-11-21T02:10:12.000Z

Shipping Cost: 0 AUD