Python Comprehensions: List, Dictionary, Set, Generator and Interview Questions

Python offers a concise comprehension syntax that acts as syntactic sugar for creating sequences and mappings, allowing developers to write compact and expressive code.

1. List Comprehensions

List comprehensions generate lists using a single expression inside square brackets. Examples include creating a list of numbers, squaring each element, and defining a helper function for readability.

lis = [x for x in range(1,10)]
print(lis)  # [1, 2, 3, 4, 5, 6, 7, 8, 9]

lis = [x * x for x in range(1,10)]
print(lis)  # [1, 4, 9, 16, 25, 36, 49, 64, 81]

def squared(x):
    return x*x
lis = [squared(i) for i in range(1,10)]
print(lis)  # [1, 4, 9, 16, 25, 36, 49, 64, 81]

lis = []
for i in range(1,10):
    lis.append(i*i)
print(lis)  # [1, 4, 9, 16, 25, 36, 49, 64, 81]

List comprehensions can also include conditional filters, multiple loops, and other tricks such as swapping keys and values in a dictionary.

lis = [x * x for x in range(1,11) if x % 2 == 0]
print(lis)  # [4, 16, 36, 64, 100]

lis = [a + b for a in '123' for b in 'abc']
print(lis)  # ['1a', '1b', '1c', '2a', '2b', '2c', '3a', '3b', '3c']

dic = {"k1":"v1", "k2":"v2"}
a = [v+":"+k for k,v in dic.items()]
print(a)  # ['v1:k1', 'v2:k2']

2. Dictionary Comprehensions

Using curly braces with a key‑value expression creates a dictionary comprehension.

dic = {x: x**2 for x in (2,4,6)}
print(dic)  # {2: 4, 4: 16, 6: 36}

mcase = {'a':10, 'b':34, 'A':7, 'Z':3}
mcase_frequency = {k.lower(): mcase.get(k.lower(),0) + mcase.get(k.upper(),0) for k in mcase.keys() if k.lower() in ['a','b']}
print(mcase_frequency)  # {'a': 17, 'b': 34}

mcase = {'a':10, 'b':34}
mcase_frequency = {v:k for k,v in mcase.items()}
print(mcase_frequency)  # {10: 'a', 34: 'b'}

3. Set Comprehensions

Set comprehensions look like dictionary comprehensions but only contain a single expression, producing a set.

a = {x for x in 'abracadabra' if x not in 'abc'}
print(a)  # {'d', 'r'}

4. Generator (Tuple) Comprehensions

Parentheses create a generator expression, not a tuple. To obtain a tuple, wrap the generator with tuple() .

tup = (x for x in range(9))
print(tup)  # <generator object ...>
print(type(tup))  # <class 'generator'>

tup = tuple(x for x in range(9))
print(tup)  # (0, 1, 2, 3, 4, 5, 6, 7, 8)
print(type(tup))  # <class 'tuple'>

5. Interview Question

The following code demonstrates how variable scope interacts with list comprehensions and lambda functions:

result = [lambda x: x + i for i in range(10)]
print(result[0](10))  # 19

All functions in result return 19 because the lambda captures the variable i by reference, and after the loop finishes i equals 9. To capture the current loop value, bind it as a default argument:

result = [lambda x, i=i: x + i for i in range(10)]
print(result[0](10))  # 10

This illustrates an important pitfall when using comprehensions with closures in Python.