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Practical Time Series Analysis

You're reading from   Practical Time Series Analysis Master Time Series Data Processing, Visualization, and Modeling using Python

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Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781788290227
Length 244 pages
Edition 1st Edition
Languages
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Authors (2):
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Avishek Pal Avishek Pal
Author Profile Icon Avishek Pal
Avishek Pal
PKS Prakash PKS Prakash
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PKS Prakash
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Toc

Basic data types


Python supports basic numeric data types such as int, long, and float, just like all major programming languages. None represents a null pointer in Python.

Strings are sequential data types in Python. Other sequential data types that are commonly used in Python are lists and tuples. The difference between a list and tuple is that the former is mutable while the latter is an immutable type. Therefore, the interpreter would throw an error if you try to modify a tuple. Let's dig a little deeper into lists and tuples.

List, tuple, and set

A list is a collection of elements. An element can be of any data type and a list can contain elements of different data types. A list has several important functions such as append, extend, insert, index, pop, and few others. The following table summarizes the functionality of these functions:

Function name

Functionality

append

Adds a new element to the end of the list.

extend

Adds new elements from an iterable. The members of the iterable element...

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