Datatypes:

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Datatypes:

Data types are a description of what kind of data is that we are dealing with. In every programming language, data type has a significance. In python, we have following core data types:

• Numbers
• Strings
• Lists
• Tuples
• Dictionaries

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Numbers as data type:

Since numbers are of many possible types, python offers following number data types:

Integers: Integers are simple whole numbers. The keyword that we write for defining integers is just int but it can handle both the positive and negative numbers.

Booleans: A Boolean value is a representation of TRUE or FALSE values. a zero (0) represents FALSE and a one (1) represents TRUE. Booleans are often considered as a subtype of integers in python.

Floating Values: A floating value is any number that has some integer part and some fractional part. The size of float values differ machine to machine due to architecture differences.

Strings as data types:

Strings are sequence of characters enclosed within single or double quotes. In Python 3.x all the characters in strings are Unicode characters. Due to this, letters of almost every language are supported in python. For ex. “apple”, “ सेब ”, “яблоко”, etc all are valid strings.

Lists:

A list is a collection of comma-separated values enclosed within square brackets. Lists can have values of any types. For ex.

All these are valid lists.

Tuples:

Tuples are very much similar to lists but with two great differences. One that tuples are created with parenthesis and the second that unlike lists, values of tuples cannot be changed. For ex.

All these are valid tuples.

Dictionaries:

Dictionaries are a set of many key:value pairs enclosed withing curly braces. We can use keys to access their values. For ex.

All these are valid dictionaries.

NOTE: Out of these datatypes, numbers (integers, floats and Booleans), strings and tuples are called immutable datatypes because their data cannot be changed in place once assigned. Rather lists and dictionaries are called mutable.

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