4 Python Power Moves to Impress Your Colleagues

1. Use List Comprehensions for Cleaner Code

List comprehensions are a compact way to generate lists from existing lists or other iterable objects. They are often faster and more readable than traditional for loops.

# Traditional for loop approach
squares = []
for i in range(10):
    squares.append(i**2)

# List comprehension approach
squares = [i**2 for i in range(10)]

2. Use the zip() Function for Iterating Over Multiple Lists

The zip() function allows you to combine multiple iterables and iterate through them in parallel. This is useful when you need to handle multiple lists in a single loop.

names = ['Alice', 'Bob', 'Charlie']
scores = [85, 90, 95]

for name, score in zip(names, scores):
    print(f'{name}: {score}')

Alice: 85
Bob: 90
Charlie: 95

3. Use enumerate() for Indexed Loops