The one interview you don't want to stumble upon.
Q: What is the difference between multi-threading, multi-processing and asynchronous? How does Python differ from other programming languages?
Q: What is the space-complexity of range(n) in Python3? Is it the same in Python2? Why?
Q: What is a Sequence in Python?
Q: What is the difference between __getitem__ and __getattr__? When are they called?
Q: What is the difference between __getatrribute__ and __getattr__? When are they called?
Q: Explain the following concepts as related to testing: fixture, mock, patch.
Q: Python is written in what language? Name other implementations.
Q: What underlying data structure is found at the base of (almost) all Python objects? How can you access it? Can you name one type of class that uses a different base structure?
Q: What is a closure? Where is it commonly used?
Q: Explain the usage of the else clause in try and for blocks.
Q: What is the Garbage collector in Python? How does it work? How can you reference an object without affecting its garbage collection?
Q: Exaplain the difference between methods (or any other object) that have: a single-leading underscore (_func), double-leading underscores (__func), a double-leading-and-trailing underscores (__func__).
Q: Exaplain the difference between the expressions x == True and x is True? Why is the is operator must commonly used with booleans and None?
Q: What (usually) unexpected behaviour will arise from the following statement matrix = [[0] * n_columns] * n_rows ?
Q: What is the difference between an iterable and an iterator? What function(s) can be called in them to turn them into the other?
Q: What is the __mro__? How does it relate to __dict__ and __getattr__?
Q: What is the Descriptor protocol? How does it relate to the previous question?
Q: What will happen when running the following code?
def func(n):
yield n
yield from func(n+1)
for i in func(n):
print(i)Q: What will be the output of the following code?
class Node:
def __init__(self, name: str) -> None:
self._name = name
def next(self, value: "Node") -> None:
self._next = value
def __del__(self) -> None:
print("Inside __del__", self._name)
def __delete__(self, instance) -> None:
print("Inside __delete__", self._name)
a = Node("a")
b = Node("b")
c = Node("c")
# create a graph that looks like this
# a -> b <-> c
a.next(b)
b.next(c)
c.next(b)
del a
del b
del c
print("finished script")How would it change if we call gc.collect() att any point?
Q: What will happen when running the following code?
class A:
def __str__(self):
print("Calling A")
return "foo"
class B(A):
def __str__(self):
print("Calling B")
return super().__str__()
class C(A):
def __str__(self):
print("Calling C")
class D(B, C):
def __str__(self):
print("Calling D")
return super().__str__()
print(D())