Vanderplas, Jake

Python Data Science Handbook: Essential Tools for Working with Data

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ISBN 13:
9781098121228
author:
Vanderplas, Jake
format:
Paperback
publisher:
O'Reilly Media
language:
English
Publication Year:
2022
Pages:
588
Dimensions:
23.4 x 17.5 x 3.3 centimetres (0
Genre:
Computers, Programming, Python,
Condition:
New
Availability:
Item usually sent within 10 working days
£50.26

Description

The Python Data Science Handbook: Essential Tools for Working with Data Jake VanderPlas's comprehensive guide to scientific computing in Python provides a one-stop reference for data scientists and researchers. This updated edition brings together key libraries, including IPython, NumPy, pandas, Matplotlib, Scikit-Learn, and more, making it an indispensable resource for tackling day-to-day issues such as data manipulation, visualization, and machine learning. With this handbook, you'll learn how to work efficiently with Python's powerful tools. From the ndarray in NumPy for storing dense data arrays, to the DataFrame in pandas for efficient storage and manipulation of labeled/columnar data, and from Matplotlib's flexible range of data visualizations to Scikit-learn's clean implementations of machine learning algorithms. Whether you're a working scientist or a data cruncher familiar with reading and writing Python code, this handbook is an essential desk reference for tackling common challenges in scientific computing.

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