Python Data Science Handbook: Essential Tools for Working with Data (Paperback)
  • Python Data Science Handbook: Essential Tools for Working with Data (Paperback)
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Python Data Science Handbook: Essential Tools for Working with Data (Paperback)

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£63.99
Paperback 550 Pages
Published: 31/12/2022
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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, you'll learn how:

IPython and Jupyter provide computational environments for scientists using Python

NumPy includes the ndarray for efficient storage and manipulation of dense data arrays

Pandas contains the DataFrame for efficient storage and manipulation of labeled/columnar data

Matplotlib includes capabilities for a flexible range of data visualizations

Scikit-learn helps you build efficient and clean Python implementations of the most important and established machine learning algorithms

Publisher: O'Reilly Media
ISBN: 9781098121228
Number of pages: 550
Weight: 925 g
Dimensions: 233 x 178 x 30 mm

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Paperback

“No coloured charts”

Pdf preview version is in colour which I found very helpful.

Printed book version I received from Waterstones is black and white which made graphs within book completely useless. How can one tell difference between... More

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