Share on facebook
Share on stumbleupon
Share on twitter
Share on linkedin

Top 10 Python Interview Questions & Answers for Freshers and Experts

Python Interview Questions & Answers: Below listed are some of the tops and most frequently asked questions as well as answers during the Python Technical Interviews. The Python Interview questions and answers can be helpful and suitable for Python freshers as well as for the experienced Python professionals at any level of the career. Some of the question answers here can also be beneficial for networking related professionals. While even if you are a Python beginner or a Python expert we are pretty much sure you would understand every question and answer listed below.

Python Interview Questions & Answers for Freshers and Experts

Q1. What is Python?

Python is nothing but an advanced and smart computer programming language that has exceptions, objects, modules, threads, and automatic memory management. The language is quite simple and easy to use, transferrable, extensible, open-source, and build-in data structure.  

Q2. What is the shortest and the easiest way to read a file? 

2 memory- effective way which is ranked in order where the first one is the best. 

It is exclusively supported from 2.5 Python and above of it. 

  1. If you eventually would like to have a control on how much is to be read, you can make the use of yield. 
  2. Use of WITH

This can be the best as well as the most effective pythonic way to read huge files.

Advantages:

Let us check out a few of these advantages

  • The object of the file is automatically closed once the exciting form is closed along with the execution block.
  • Handling the exception inside the with block 
  • The memory of the loop iterates along, through the file f with an object line by line. It internally buffers the optimization on costly IO operations as well as with the memory management with an open (“x.txt”) as f for the line in f as something to do with data. 
  • The statement of with handles and takes care of the opening as well as the closing of the file, along with the exception which is raised with the inner block. 

Q3. What is the reason behind using yield in Python?

There are situations where sometimes people wish to have more thorough and fine access control over how much is to be read over in each iteration. To get better control in these cases its always the best idea to use iter and yield. 

Q4. What is the use of <__init__.py> module in Python?

The use of <__init__.py> module can help in a number of ways for fulfilling the following objectives.

  • It allows Python to interpret the directories with the package containments by not including the things which contain names in common like a string. 
  • Apart from all this, it additionally allows all the programming experts to take the control and decide whether which directory is a package and which one is not.
  • Likewise, the <__init__.py> can be an empty file as well which can further help in code initialization and execution for setting the variable of <__all__> as well as for a package. 

Q5. Which are the various methods that Python provides for copying an object?
Either we can use the Shallow Copy method or the Deep Copy method to approach in copying an object. 

Shallow Copy method.

In this method, the content of the object like a dictionary does not get copied by the values but it does by creating the new reference.

SHALLOW COPY METHOD.

>>> a = {1: [1,2,3]}

>>> b = a.copy()

>>> a, b

({1: [1, 2, 3]}, {1: [1, 2, 3]})

>>> a[1].append(4)

>>> a, b

({1: [1, 2, 3, 4]}, {1: [1, 2, 3, 4]})

1

2

3

4

5

6

7

>>> a = {1: [1,2,3]}

>>> b = a.copy()

>>> a, b

({1: [1, 2, 3]}, {1: [1, 2, 3]})

>>> a[1].append(4)

>>> a, b

({1: [1, 2, 3, 4]}, {1: [1, 2, 3, 4]})

DEEP COPY METHOD.

It copies all the contents by value.

>>> c = copy.deepcopy(a)

>>> a, c

({1: [1, 2, 3, 4]}, {1: [1, 2, 3, 4]})

>>> a[1].append(5)

>>> a, c

({1: [1, 2, 3, 4, 5]}, {1: [1, 2, 3, 4]})

1

2

3

4

5

6

>>> c = copy.deepcopy(a)

>>> a, c

({1: [1, 2, 3, 4]}, {1: [1, 2, 3, 4]})

>>> a[1].append(5)

>>> a, c

({1: [1, 2, 3, 4, 5]}, {1: [1, 2, 3, 4]})

Q6. How can one set a global variable inside a function?

One can easily use the global variable for various functions by presenting it as global in every function which gets assigned to it:  

globvar = 0

def set_globvar_to_one():

global globvar # Needed to modify global

copy of globvar

globvar = 1

def print_globvar():

print globvar # No need for global

declaration to read value of globvar

set_globvar_to_one()

print_globvar() # Prints 1

1

2

3

4

5

6

7

8

I can only imagine all the reasons behind it that, as the global variables happen to be so dangerous, Python tries and makes sure that you should have the knowledge of what you actually playing with explicitly needs the global keyword. 

Q7. For what is forelse used in Python language?
The language Python is very interesting which easily allows you to specify an else suite:

Here is a clear example of this type.

for i in foo:

if bar(i):

break

else:

baz()

the else suite is executed after the for, but only if the for terminates normally (not by a break).

Here’s some code is written without for…else:

def contains_even_number(l):

“Prints whether or not the list l contains an even number.”

has_even_number = False

for elt in l:

if elt % 2 == 0:

has_even_number = True

break

if has_even_number:

print “list contains an even number”

else:

print “list does not contain an even number”

The same code snippet listed below shows how to use of for…else. This allows you to remove the extraneous flag variable which is in the loop:

def contains_even_number(l):

“Prints whether or not the list l contains an even number.”

for elt in l:

if elt % 2 == 0:

print “list contains an even number”

break

else:

print “list does not contain an even number”

Decide wisely while judging whether to use for…else construct or not. It is not really unequivocally better but yes, when there is an asymmetry between the any two possibilities, you can easily make your code more readable to use it by for…else to follow the happy path logic at the top avoiding the errors at the bottom.

Q8 How to make an Iterator in Python?

The objects in Python Iterator conform the protocol of the iterator, which primarily offers 2 kinds of methods:

__iter__() and next().

The __iter__ returns the iterator object and is implicitly called at the start of loops.

The next() method returns the next value and is implicitly called at each loop increment.

next() raises a StopIteration exception when there are no more value to return, which is implicitly captured by looping constructs to stop iterating.

Here’s a simple example of a counter:

class Counter:

def __init__(self, low, high):

self.current = low

self.high = high

def __iter__(self):

return self

def next(self): # Python 3: def

__next__(self)

if self.current > self.high:

raise StopIteration

else:

self.current += 1

return self.current – 1

for c in Counter(3, 8):

print c

This will print:

3

4

5

6

7

8

Close Menu
Call Now ButtonCall Now

Download

3RI Brochure

What's the password?

20% Discount

Login to your account