Top 100+ Python Interview Questions You Must Prepare in 2023
Python Certification is the most sought-after skill in the programming domain. In this Python Interview Questions blog, I will introduce you to the most frequently asked questions and coding snippets in Python interviews for the year 2023. We have 100+ questions on Python Programming basics which help you with different expertise levels to reap the maximum benefit from our blog.
Q1) What is Mutable and Immutable Types in Python?
Q2) Data Types in Python?
Q3) 9 Things to Master List Comprehension in Python?
Q4) How does Python Optimize Memory Usage? Python Memory Management?
Q5) Working with JSON data in Python?
Q6) Python Scope Resolution or LEGB Rule in Python?
Q7) File Handling in Python?
Q8) Python Dictionary Tricks That Make Your Code More Elegant?
Q9) OS Module in Python for Handling Files and Directories?
Q10) Object Oriented Programming in Python?
These Python Developer Interview Questions will help you in land following job roles:
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Python Developer
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Research Analyst
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Data Analyst
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AI Developer
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Data Scientist
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Software Engineer
The Python Interview Questions blog is classified into the following categories:
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Advanced Interview Questions
Python Intermediate Interview Questions
24. What is map () function in python?
map is used to apply a transformation to every element in an iterable. For example, transforming [1, 2, 3] to [2, 4, 6] by multiplying every element in [1, 2, 3] by 2. The result of calling a map function, is a map object, instead of list. We need to convert the map object to list using list constructor.
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25. What are generators in python?
Generator functions allows you to declare a function that behaves like an iterator. They allow programmers to make an iterator in a fast, easy and clean way.
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26. What are iterators in python?
An iterator is an object that can be iterated(looped) upon. It is used to abstract a container of data to make it behave like an iterable object.
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27. List Comprehension in Python
List comprehension offers a shorter syntax when you want to create a new list based on the values of an existing list.
A pair of square brackets containing the expression, which is executed for each element in the iterable.
Syntax:
[expression for item in iterable]