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Python was developed by Guido van Rossum and was introduced first on 20 February 1991. It is one of the most widely used programming languages which provides flexibility to incorporate dynamic semantics. It is an open-source and free language having clean and simple syntax. All these things make it easy for developers to learn and understand Python. Python also supports object-based programming and is mainly used for doing general-purpose programming.
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Due to its simplicity and the capacity to achieve numerous functionalities in fewer lines of code, the popularity of Python is increasing exponentially. It is also used in artificial intelligence, machine learning, web scraping, web development and different other domains due to its ability to support powerful computations through powerful libraries. As a result, Python Developers are in high demand in India and around the world. Companies provide these Developers incredible remunerations and bonuses.
I will introduce you to the most frequently asked Python interview questions for the year 2023 in this tutorial.
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Most Asked Python Interview Questions
Here are some of the most asked Python interview questions:
- What is Python?
- How to Install Python?
- What are the key features of Python?
- What are the applications of Python?
- What is a dynamically typed language?
- What is the difference between list and tuples in Python?
- What are Pickling and Unpickling?
- What Is the Difference Between Del and Remove() on Lists?
- What do you mean by Python literals?
- What is PEP 8?
Now. let's discuss some of the Python interview questions for freshers along with their answers:
Python Interview Questions For Freshers
In this article, we will look at some of the most commonly asked Python interview questions with answers which will help you prepare for your upcoming job interviews.
1. What is the Difference Between a Shallow Copy and Deep Copy?
Deepcopy creates a different object and populates it with the child objects of the original object. Therefore, changes in the original object are not reflected in the copy.
copy.deepcopy() creates a Deep Copy.
Shallow copy creates a different object and populates it with the references of the child objects within the original object. Therefore, changes in the original object are reflected in the copy.
copy.copy creates a Shallow Copy.
2. How Is Multithreading Achieved in Python?
Multithreading usually implies that multiple threads are executed concurrently. The Python Global Interpreter Lock doesn't allow more than one thread to hold the Python interpreter at that particular point of time. So multithreading in python is achieved through context switching. It is quite different from multiprocessing which actually opens up multiple processes across multiple threads.
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3. Discuss Django Architecture.
Here you can also find a comprehensive guide on Python Django Tutorial that is very easy to understand.
Django is a web service used to build your web pages. Its architecture is as shown:
- Template: the front end of the web page
- Model: the back end where the data is stored
- View: It interacts with the model and template and maps it to the URL
- Django: serves the page to the user
4. What Advantage Does the Numpy Array Have over a Nested List?
Numpy is written in C so that all its complexities are backed into a simple to use a module. Lists, on the other hand, are dynamically typed. Therefore, Python must check the data type of each element every time it uses it. This makes Numpy arrays much faster than lists.
Numpy has a lot of additional functionality that list doesn’t offer; for instance, a lot of things can be automated in Numpy.
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