Map, Filter and Reduce in Python :
The concepts of map, filter, and reduce are crucial in Python.
Advanced list manipulation requires frequent usage of these
functions. Understanding how to use them will help you
become a proficient Python programmer. Today, I'll explain
what map is. Python returns a map object instead of a list,
but you can change the data type to your preferred option.
This is done for efficiency purposes. Although it can be a
lambda function, I won't confuse you with it yet. Please leave
a comment if you understand the concept. Python
automatically handles almost everything for you, but you can
still convert the map object into a list. Map and filter are
higher-order functions. We'll revisit them before discussing
reduce, which will be covered later. Lastly, I will show you
how to use lambda functions with map.
filter() function takes a function and an iterable as
arguments. The predicate argument is a function that returns
a boolean value and is applied to each element in the
iterable. For every value, the predicate function will either
return true or false. The values for which this function
returns false will not be included in the new list. Let's
consider an example, where x has a value of 1, y has a value
of 2 and the value of x + y will be 3. The next time, 3 and 3
The concepts of map, filter, and reduce are crucial in Python.
Advanced list manipulation requires frequent usage of these
functions. Understanding how to use them will help you
become a proficient Python programmer. Today, I'll explain
what map is. Python returns a map object instead of a list,
but you can change the data type to your preferred option.
This is done for efficiency purposes. Although it can be a
lambda function, I won't confuse you with it yet. Please leave
a comment if you understand the concept. Python
automatically handles almost everything for you, but you can
still convert the map object into a list. Map and filter are
higher-order functions. We'll revisit them before discussing
reduce, which will be covered later. Lastly, I will show you
how to use lambda functions with map.
filter() function takes a function and an iterable as
arguments. The predicate argument is a function that returns
a boolean value and is applied to each element in the
iterable. For every value, the predicate function will either
return true or false. The values for which this function
returns false will not be included in the new list. Let's
consider an example, where x has a value of 1, y has a value
of 2 and the value of x + y will be 3. The next time, 3 and 3
