Exploring Python's Concise Syntax

Let's see some examples of Python's concise syntax.

List Comprehension

List comprehension provides a compact way to create lists based on existing lists. Let's say we want to generate a list containing even numbers till 10.

With For Loop:

even_numbers = []
for num in range(0, 12, 2):
    even_numbers.append(num)
print(even_numbers)

With List Comprehension:

even_numbers = [num for num in range(0, 12, 2)]
print(even_numbers)

Dictionary Comprehension

Similar to list comprehension, Python provides a concise way for creating dictionaries. Suppose we want to create a dictionary containing squares of numbers up to 5.

With For Loop:

squares = {}
for num in range(1, 6):
    squares[num] = num ** 2

With Dictionary Comprehension:

squares = {num: num ** 2 for num in range(1, 6)}

Now, Let's say now you want to print even numbers up to 10, it can be done in following ways.

Print using a for loop with range:

for num in range(0, 12, 2):
    print(num, end=' ')

'Unpack' the range with the * operator:

print(*range(0, 12, 2), end=' ')

Conclusion

While various syntax options are available to achieve the same task in Python, in the end, writing clear and maintainable code should be the goal.