Ternary operators are also known as conditional expressions. These operators evaluate base on a condition being TRUE or FALSE. It came into existence from Python version 2.5 for Data Science.
It makes programming more comfortable by allowing to test a condition in a single line rather than the multiline if-else and also makes the program compact.
- A simple method of using ternary operator:
- Direct method using tuples, dictionary, and lambda:
- Ternary operator is nest if-else:
Important Points:
- At the beginning, the given condition is (a<b), either a or b is return base on the boolean value return by the condition.
- The order of arguments differs from other languages in the operator.
- Amongst all Python operations, ternary operators have the lowest priority.
The method When Ternary Operator is Absent:
First, the interpreter checks the truth of the expression, if TRUE then on_true was evaluate, else on_false was evaluate.
Syntax:
Let’s look at an example:
If you want to learn more about operators in python for data science, you can check this and this.