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Python Data Science Essentials - Third Edition
book

Python Data Science Essentials - Third Edition

by Alberto Boschetti, Luca Massaron, Pietro Marinelli, Matteo Malosetti
September 2018
Intermediate to advanced
472 pages
12h 2m
English
Packt Publishing
Content preview from Python Data Science Essentials - Third Edition

pandas

The pandas package deals with everything that NumPy and SciPy cannot do. Thanks to its specific data structures, namely DataFrames and Series, pandas allows you to handle complex tables of data of different types (which is something that NumPy's arrays cannot do) and time series. Thanks to Wes McKinney's creation, you will be able to easily and smoothly load data from a variety of sources. You can then slice, dice, handle missing elements, add, rename, aggregate, reshape, and finally visualize your data at will:

Conventionally, the pandas package is imported as pd:

import pandas as pd
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Publisher Resources

ISBN: 9781789537864