Python Interview – 15 Questions for Experienced Engineers

Wow, I’ve mastered in Python programming. That’s what most of us use to think before appearing in a Python interview. But not many could retain this joy after the interview. Ohh yes, it’s a bitter truth but happens often. The simple reason, we didn’t pay the required attention to the areas where the interviewer can ask questions.

A good interviewer also prepares himself for the interview as per the job requirements. So apart from the core understanding of the subject, he emphasizes more on the application part during the interview. Hence, don’t stick yourself to only reading Python books or watching online tutorials. Instead, look up for the latest and most frequently asked Python interview questions.

Search smart, don’t be typecasted. Look for Python questions published recently like within a year or six months. Since Python is one of emerging technology used for automation, so you’ll see a lot of people posted their experiences and questions/answers on the web. And these efforts of yours will help you in getting the desired job profile of Python developer or an automation tester.

We’ve compiled and brought you a list of posts covering all the essential Python interview questions and answers. Reading these posts would get you acquainted with the latest trends in the Python job market.

Now, you can begin reading the questions/answers given in the below section. All of these are related to the application of Python and would test your scripting skills of the language.

Python Interview – 15 Questions and Answers for Experienced Engineers.

Python Interview - 15 Questions and Answers for Experienced

Python Interview – 15 Questions and Answers for Experienced.

Q-1. What is the function to randomize the items of a list in-place?

Ans. Python has a built-in module called as <random>. It exports a public method <shuffle(<list>)> which can randomize any input sequence.

 

Q-2. What is the best way to split a string in Python?

Ans. We can use Python <split()> function to break a string into substrings based on the defined separator. It returns the list of all words present in the input string.

Program Output.

 

Q-3. What is the right way to transform a Python string into a list?

Ans. In Python, strings are just like lists. And it is easy to convert a string into the list. Simply by passing the string as an argument to the list would result in a string-to-list conversion.

Program Output.

 

Q-4. How does exception handling in Python differ from Java? Also, list the optional clauses for a <try-except> block in Python?

Ans. Unlike Java, Python implements exception handling in a bit different way. It provides an option of using a <try-except> block where the programmer can see the error details without terminating the program. Sometimes, along with the problem, this <try-except> statement offers a solution to deal with the error.

There are following clauses available in Python language.

1. try-except-finally
2. try-except-else

 

Q-5. What do you know about the <list> and <dict> comprehensions? Explain with an example.

Ans. The <List/Dict> comprehensions provide an easier way to create the corresponding object using the existing iterable. As per official Python documents, the list comprehensions are usually faster than the standard loops. But it’s something that may change between releases.

The <List/Dict> Comprehensions Examples.

 

#List Comprehension

 

Both the above example would yield the same output.

 

 

 

Q-6. What are the methods you know to copy an object in Python?

Ans. Commonly, we use <copy.copy()> or <copy.deepcopy()> to perform copy operation on objects. Though not all objects support these methods but most do.

But some objects are easier to copy. Like the dictionary objects provide a <copy()> method.

Example.

 

Q-7. Can you write code to determine the name of an object in Python?

Ans. No objects in Python have any associated names. So there is no way of getting the one for an object. The assignment is only the means of binding a name to the value. The name then can only refer to access the value. The most we can do is to find the reference name of the object.

Example.

 

Q-8. Can you write code to check whether the given object belongs to a class or its subclass?

Ans. Python has a built-in method to list the instances of an object that may consist of many classes. It returns in the form of a table containing tuples instead of the individual classes. Its syntax is as follows.

The above method checks the presence of an object in one of the classes. The built-in types can also have many formats of the same function like <isinstance(obj, str)> or <isinstance(obj, (int, long, float, complex))>.

Also, it’s not recommended to use the built-in classes. Create an user-defined class instead.

We can take the following example to determine the object of a particular class.

Example.

 

Q-9. What is the result of the following Python program?

Ans. The example code is as follows.

 

 

The output of the above code is <[6, 6, 6, 6]>. It’s because of the late binding as the value of the variable <index> gets looked up after a call to any of multiplexers functions.

 

Q-10. What is the result of the below lines of code?

Here is the example code.

Ans. The above code will give the following result.

The function <fast> evaluates its arguments only once after the function gets defined. However, since <items> is a list, so it’ll get modified by appending a <1> to it.

 

Q-11. What is the result of the below Python code?

Ans. The above code will produce the following result.

In Python, while performing string slicing, whenever the indices of both the slices collide, a <+> operator get applied to concatenates them.

 

Q-12. How would you produce a list with unique elements from a list with duplicate elements?

Ans. Iterating the list is not a desirable solution. The right answer should look like this.

 

 

Q-13. Can you iterate over a list of words and use a dictionary to keep track of the frequency(count) of each word? Consider the below example.

Ans. Please find out the below code.

 

 

Q-14. What is the result of the following Python code?

Ans. All print statement will display <1>. It’s because the value of object’s attribute(x) is never changing.

Also, <x> becomes a part of the public members of class Test.

Hence, it can be accessed directly.

 

Q-15. Can you describe what’s wrong with the below code?

Ans. The above code would throw a <NameError>.

The variable n is local to the function <testProc> and can’t be accessed outside.

So, printing it won’t be possible.

 

Summary – Python Interview Questions and Answers for Experienced Engineers.

So it was one of the posts where we took up an essential topic for Software engineers. Also, Python programming is becoming more and more relevant for the automation testing. That’s why we came up with this blog post on the top Python interview questions for experienced engineers.

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Keep Learning,

TechBeamers.

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