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python ternary operator. reduce if else statement with this. #shorts #python
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Ternary operators also known as conditional expressions are operators that evaluate something based on a condition being true or false. It was added to Python in version 2.5.
It simply allows to test a condition in a single line replacing the multiline if-else making the code compact.
Syntax :
[on_true] if [expression] else [on_false]
Lists are one of the four built-in data structures in Python. Other data structures that you might know are tuples, dictionaries, and sets. A list in Python is different from, for example, int or bool, in the sense that it's a compound data type: you can group values in lists. These values don't need to be of the same type: they can be a combination of boolean, String, integer, float values.
List literals are a collection of data surrounded by brackets, and the elements are separated by a comma. The list is capable of holding various data types inside it, unlike arrays.
Dictionary Comprehension
Dictionary comprehension offers a shorter syntax when you want to create a new dictionary based on the values of an existing list.
Python Dictionary Comprehension
Like list comprehension, Python allows dictionary comprehensions. We can create dictionaries using simple expressions.
A dictionary comprehension takes the form
{key: value for (key, value) in iterable}
Dictionary comprehension is an elegant and concise way to create dictionaries.
Ternary operators also known as conditional expressions are operators that evaluate something based on a condition being true or false. It was added to Python in version 2.5.
It simply allows to test a condition in a single line replacing the multiline if-else making the code compact.
Syntax :
[on_true] if [expression] else [on_false]
Lists are one of the four built-in data structures in Python. Other data structures that you might know are tuples, dictionaries, and sets. A list in Python is different from, for example, int or bool, in the sense that it's a compound data type: you can group values in lists. These values don't need to be of the same type: they can be a combination of boolean, String, integer, float values.
List literals are a collection of data surrounded by brackets, and the elements are separated by a comma. The list is capable of holding various data types inside it, unlike arrays.
Dictionary Comprehension
Dictionary comprehension offers a shorter syntax when you want to create a new dictionary based on the values of an existing list.
Python Dictionary Comprehension
Like list comprehension, Python allows dictionary comprehensions. We can create dictionaries using simple expressions.
A dictionary comprehension takes the form
{key: value for (key, value) in iterable}
Dictionary comprehension is an elegant and concise way to create dictionaries.