Data Analysis and Visualization Using Python: Data Analysis and Visualization Using Python for programmer by pasahye beryali & pasahye beryali

Author:pasahye, beryali & pasahye, beryali [pasahye, beryali]
Language: eng
Format: azw3
Publisher: UNKNOWN
Published: 2019-05-24T16:00:00+00:00

CHAPTER 3

Data Collection Structures

Lists, dictionaries, tuples, series, data frames, and panels are Python data collection structures that can be used to maintain a collection of data. This chapter will demonstrate these various structures in detail with practical examples.

Lists

A list is a sequence of values of any data type that can be accessed forward or backward. Each value is called an element or a list item. Lists are mutable, which means that you won’t create a new list when you modify a list element. Elements are stored in the given order. Various operations can be conducted on lists such as insertion, sort, and deletion. A list can be created by storing a sequence of different types of values separated by commas. A Python list is enclosed between a square brackets ([]), and elements are stored in the index based on a starting index of 0.

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