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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

Lists

Lists are collections of elements. Elements can be integers, floats, strings, or generically, objects. Moreover, you can mix different types together. Besides, lists are more flexible than arrays because arrays allow only a single datatype. To create a list, you can either use the square brackets or the list() constructor, as follows:

a_list = [1, 2.3, 'a', True]an_empty_list = list()

The following are some handy methods that you will need to remember while working with lists:

  • To access the ith element, use the [] notation:
Remember that lists are indexed from 0 (zero); that is, the first element is in position 0.
a_list[1] # prints 2.3 a_list[1] = 2.5# a_list is now [1, 2.5, 'a', True]
  • You can slice lists by pointing out a starting ...
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Publisher Resources

ISBN: 9781789537864