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# List comprehensions in Python

In my previous post, I covered How to use map, filter and reduce in Python.

Here I demonstrate how to use a List comprehension to achieve similar results to using `map` and `filter` together.

You can use a list comprehension to iterate over an iterable, like a string, list or tuple and create new list,

## Basic

The simplest kind does nothing.

``````a = [1, 2, 3]
b = [x for x in a]
b
# [1, 2, 3]
``````

## Map style

Here we apply something like the `map` call.

``````a = [1, 2, 3]
b = [x**2 for x in a]
b
# [1, 4, 9]
``````

Note you don't need a lambda.

If you had a function, you would use it like this:

``````b = [square(x) for x in a]
b
# [1, 4, 9]
``````

Using a string instead of a `list`.

``````c = 'aBcD'
c.isupper()
# False

[x for x in c if x.isupper()]
# ['B', 'D']
``````

## Filter style

This is a way to an `if` statement inside the list comprehension to filter out values.

``````a = [1, 2, 3]

[x for x in a if x > 2]
# [3]

[x for x in a if x > 1]
# [2, 3]

[x**2 for x in a if x > 1]
# [4, 9]
``````

## Map and filter combined

You can use the `map` and `filter` styles together.

``````a = [1, 2, 3]
[x**2 for x in a if x > 2]
# [9]

[x**2 for x in a if x**2 > 2]
# [4, 9]
``````

## Generator

As a bonus, you can use a list comprehension as a generator if you use round brackets instead of square brackets.

I have hardly need to use this, but if you need to optimize your performance or you are working with large external data in a file or a REST API, you could find this useful. As it reduces how much is processed and stored in memory at once.

Standard:

``````a = [1, 2, 3]
b = [x**2 for x in a]
[1, 4, 9]
``````

Generator:

``````c = (x**2 for x in a)
c
# <generator object <genexpr> at 0x1019d0f90>
list(c)
[1, 4, 9]
``````

Or you might use a `for` loop to iterate over your initial `list`.

Here we chain two generators together. Computation is done lazily - both generators are only evaluated at the end.

``````c = (x**2 for x in a)
d = (x+1 for x in c)

list(d)
# [2, 5, 10]
``````

That is similar to this, which applies both transformations at once.

``````d = (x**2 + 1 for x in a)
list(d)
# [2, 5, 10]
``````

Or with function calls.

``````d = (add_one(square(x)) for x in a)
list(d)
# [2, 5, 10]
``````

See this a post by `@kalebu` - A guide to Python list comprehension