Data Type

Understanding Data Types in Python#

In Python, data types are special keywords that tell the interpreter how we are going to use the data. That means certain types of values can do certain things. Python comes with a set of built-in data types that can be used to construct more complex data structures.

Given below are the most commonly used Python data types:

• Numeric
• Sequence Type
• Boolean
• Set
• Dictionary

Numeric#

In Python, numeric data type represent the data which has numeric value. There are three distinct numeric types: integers, floating point numbers, and complex numbers.

1x = 10    # integer
2y = -15.6 # floating point
3z = 4j    # complex number

Sequence Type#

In Python, sequence type includes String, List, Tuple. They are ordered collections of similar or different data types.

1str = "Codebay"  # String
2list = [1, 2.2, 'python', 4j]  # List
3tuple = (10, 'welcome', 20.3)  # Tuple

Boolean#

In Python, boolean datatype is also a data type that has one of the two built-in values, True or False. Often used in conditional expressions, and anywhere else you need to distinguish between truth and falsehood.

1bool1 = True  # Bool set to True
2bool2 = False  # Bool set to False

Set#

In Python, Set is an unordered collection data type that is iterable, mutable and has no duplicate elements. Python set class represents the mathematical notion of a set.

1set1 = {1, 2, 3, 4, 5}  # An example of set

Dictionary#

A dictionary is a set of key:value pairs. All keys in a dictionary must be unique. In a dictionary, keys are like an index, that is used to access its respective value.

1dict = {'name': 'Codebay', 'year': 2022}  # An example of dictionary

By understanding Python data types, you can write more flexible and optimized code. It is crucial to select the most suitable data type for a particular program to solve problems efficiently.