The current answers are good, but do not talk about how they are just syntactic sugar to some pattern that we are so used to.

Let’s start with an example, say we have 10 numbers, and we want a subset of those that are greater than, say, 5.

```
>>> numbers = [12, 34, 1, 4, 4, 67, 37, 9, 0, 81]
```

For the above task, the below approaches below are totally identical to one another, and go from most verbose to concise, readable and ** pythonic**:

### Approach 1

```
result = []
for index in range(len(numbers)):
if numbers[index] > 5:
result.append(numbers[index])
print result #Prints [12, 34, 67, 37, 9, 81]
```

### Approach 2 (Slightly cleaner, for-in loops)

```
result = []
for number in numbers:
if number > 5:
result.append(number)
print result #Prints [12, 34, 67, 37, 9, 81]
```

### Approach 3 (Enter List Comprehension)

```
result = [number for number in numbers if number > 5]
```

### or more generally:

```
[function(number) for number in numbers if condition(number)]
```

where:

`function(x)`

takes an`x`

and transforms it into something useful (like for instance:`x*x`

)- if
`condition(x)`

returns any False-y value (False, None, empty string, empty list, etc ..) then the current iteration will be skipped (think`continue`

). If the function return a non-False-y value then the current value makes it to the final resultant array (and goes through the transformation step above).

To understand the syntax in a slightly different manner, look at the Bonus section below.

For further information, follow the tutorial all other answers have linked: List Comprehension

### Bonus

(Slightly un-pythonic, but putting it here for sake of completeness)

The example above can be written as:

```
result = filter(lambda x: x > 5, numbers)
```

The general expression above can be written as:

```
result = map(function, filter(condition, numbers)) #result is a list in Py2
```