Pythonic Code

Pythonic Code

SI	Concept	Symbol / Function	Description	Usage Scenario
1	One-liner	; or compressed logic	Single line expressions or statements.	Quick scripts or clean outputs.
2	List Comprehension	[x for x in ...]	Create lists with filter/map logic.	Filtering, mapping.
3	any() / all()	any(), all()	Check boolean condition on iterable.	Validation checks.
4	sorted() with lambda	sorted(..., key=lambda)	Custom sorting logic.	Sorting complex data.
5	Ternary Operator	x if cond else y	Conditional assignment.	Short if-else logic.
6	zip()	zip(a, b)	Loop over multiple iterables.	Parallel iteration.
7	enumerate()	enumerate(list)	Index + value in loops.	Indexed looping.
8	Unpacking	a, b = [1, 2]	Assign multiple variables at once.	Working with tuples/lists.
9	Set & Dict Comprehension	{x for x in ...} / {k:v}	Similar to list comprehension but for sets/dicts.	Create unique elements or filtered dicts.
10	dict.get() / setdefault()	d.get(k) / d.setdefault()	Avoid KeyError, provide default values.	Cleaner dictionary access.
11	Context Managers with with	with open(...) as ...:	Automatically handles file/resource cleanup.	File handling, locks, DB connections.

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Code Samples

One-liner

result = sum([i for i in range(10)])  # returns 45

List Comprehension

any() / all()

sorted() with lambda

zip()

names = ['a', 'b']
marks = [90, 80]
for name, mark in zip(names, marks):
    print(f"{name} scored {mark}")

Second enumerate()

Set & Dict Comprehensions

dict.get() / setdefault()

Context Manager (with)

with open("file.txt", "r") as f:
    for line in f:
        print(line.strip())

Ternary Operator