Here are the top 5 Python interview questions with answers:
1️⃣ What is Python’s Global Interpreter Lock (GIL)?
The GIL is a mechanism in CPython that allows only one thread to execute Python bytecode at a time, even on multi-core processors.
It prevents true parallel execution but allows concurrency via threading and multiprocessing.
To bypass GIL limitations, use multiprocessing for CPU-bound tasks.
2️⃣ What is the difference between @staticmethod and @classmethod?
@staticmethod belongs to a class but doesn’t use class or instance attributes.
@classmethod receives the class as an implicit first argument (cls) and can modify class-level attributes.
class Example:
class_var = "Class Variable"
@staticmethod
def static_method():
return "This is a static method"
@classmethod
def class_method(cls):
return f"This is a class method, accessing: {cls.class_var}"
print(Example.static_method()) # No class reference needed
print(Example.class_method()) # Uses class variable
3️⃣ How do you handle memory leaks in Python?
Use weak references (weakref module) for large objects.
Avoid circular references (objects referencing each other).
Use del to remove unused objects.
Enable garbage collection manually using gc.collect().
4️⃣ What are Python generators, and how do they differ from lists?
Generators are functions that yield values one at a time using yield, unlike lists, which store all values in memory.
Generators are memory-efficient and useful for handling large datasets.
def my_generator():
for i in range(3):
yield i
gen = my_generator()
print(next(gen)) # 0
print(next(gen)) # 1
print(next(gen)) # 2
5️⃣ What is the difference between mutable and immutable types in Python?
Mutable types can be changed after creation (e.g., list, dict, set).
Immutable types cannot be changed after creation (e.g., int, str, tuple).
Mutable example
my_list = [1, 2, 3]
my_list.append(4) # Allowed
Immutable example
my_tuple = (1, 2, 3)
my_tuple[0] = 10 # TypeError: 'tuple' object does not support item assignment
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