Python Interview Questions

Most Important Python Interview Questions For Job Seekers

Python is currently one of the most demanded programming languages. For getting a job as a Python developer, you have to go through an interview process. The more Python interview questions and answers you know, the better chances of your getting a job with a high salary. 

Today, in this blog, we will tell you about the top python interview questions that you must know before going through an interview process. Before knowing about the Python interview questions, let’s first see an overview of the Python language.

What Is Python Programming?

Python is an object-oriented, interpreted, high-level computer programming language with dynamic semantics. Python is a general-purpose programming language which means we can use it to build a variety of applications. It is mainly used for building software and websites, data analysis, task automation, web scraping, etc. 

Python is a multi-paradigm programming language that fully supports object-oriented and structured programming. Its many features also support aspect-oriented and functional programming. Moreover, it is a beginner-friendly language because it comes with super-easy syntax that is easy to read, write, and learn. 

Python is very popular among programmers because if offers enhanced productivity. The edit-test-debug cycle is extraordinarily fast because there is no compilation step. Python scripts are simple to debug: a bug or improper input will never result in a segmentation fault. Rather, when the interpreter finds an error, it throws an exception.

Most Asked Python Interview Questions For Freshers

Here is the list of most asked Python interview questions with answers that you must know for getting a job-

  1. What are the key features of Python?

Ans: 

  • Python is a general-purpose, object-oriented, and high-level programming language.
  • Python has a very simple and readable syntax which makes it easy to learn and understand.
  • Python code’s debugging is easy.
  • Python is dynamically typed; therefore, the declaration of the type of variables is not needed.
  • Python is open-source and free.
  • Python can be easily integrated with other programming languages such as Java, C++, and so on.
  1. What are the applications of Python?

Ans:

Python is used in several different domains. Some of the main application areas of Python are as follows-

  • Web Development
  • AI and Machine Learning
  • Games Development
  • Computational and Scientific Applications
  • Image Processing and Graphic Design Applications
  • Business Applications Development
  • Operating systems
  • GUI based desktop applications
  1. What is PEP 8?

Ans:

PEP 8 is for Python Enhancement Proposal, and it is a document that assists us in providing rules for writing Python code. It’s essentially a set of guidelines for formatting Python code for optimum readability. Guido van Rossum, Barry Warsaw, and Nick Coghlan created it in 2001.

  1. Is Python Programming or Scripting language?
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Ans: 

Although Python can be used for Scripting, it is primarily considered as a general-purpose programming language.

  1. What is the filename extension of Python? 

Ans: 

We have various types of filename extension in such as .py, .pyc, .pyw, .pyz, .pyd.

  1. What are Keywords in Python?

Ans: 

Keywords are basically reserved words or predefined words that have some special meanings. We have a total of 33 keywords in Python 3.7, which are as follows- 

keywords in Python
  1. What is an Interpreted language?

Ans: 

A language that executes code line by line is called Interpreted language. Some of the most popular Interpreted languages are Python, R, Javascript, PHP, Ruby, etc. An interpreted language program executes directly from the source code without the need for a compilation phase.

  1. What is Scope in Python?

Ans: 

In Python, each object works within scope. A scope is a block of code in which an object remains relevant. All the objects in a program are uniquely identified by namespaces. On the other hand, these namespaces have a scope set for them, allowing you to utilize their objects without any prefix. The following are a few examples of scope created during Python code execution.

  • Local scope means the objects are available in the current function only.
  • Global scope means the objects are accessible all over the code(inside and outside of functions) execution.
  • Enclosing scope or non-local scope refers to a variable defined in the nested function by its name.
  • Python looks for the variable or object in the Built-in scope if it isn’t found locally, globally, or in enclosing scope. Built-in scopes are one of the most extensive scopes, covering all reserved keywords.
  1. What are Literals in Python?

Ans: 

Literals are notations used in source code to represent a fixed value. They can alternatively be characterized as unprocessed data or raw values included in variables or constants. Python has various types of Literals:-

String literals: Created by writing some text or characters surrounded by single, double, or triple quotes.

Numeric literals: These are immutable and can be in three different types, integer, float, and complex. 

Boolean literals: They can have either true or false values, which represent 1 and 0. 

Special literals: To categorize fields that have not been generated, special literals are used. The value ‘none’ is used to represent it.

  1. What are decorators in Python? 

Ans: 

In Python, a decorator is a function that accepts another function as an argument and returns another function. Decorators are used to adding the design patterns to a function without altering its structure. Decorators are incredibly handy because they allow you to extend an existing function without changing the original function’s source code. 

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To use a decorator, we must first specify its function. Then we write the function to which it will be applied and simply place the decorator function above it. The @ sign is used before the decorator in this case.

A+ grade
  1. What is the difference between .py and .pyc files?

Ans: 

The .py files are the source code files of Python. In contrast, the bytecode of the python files is stored in the .pyc files, which are created when the code is imported from another source. The interpreter saves time by converting the source.py files to. pyc files.

  1. What is PYTHONPATH?

Ans: 

It’s an environment variable that’s used when you import a module. When a module is imported, PYTHONPATH is checked to see if the imported modules are present in various folders. It is used by the interpreter to determine which module to load.

  1. How is memory managed in Python?

Ans: 

Memory management in Python works in the following ways:

Python’s private heap space is responsible for memory management. A private heap holds all Python objects and data structures. This private heap is not accessible to the programmer. Instead, the python interpreter takes care of it.

Python’s memory manager is responsible for allocating heap space for Python objects. The core API allows programmers access to some programming tools.

Python also includes a built-in garbage collector, which recycles all unused memory and makes it available to the heap space.

  1. Is Python case sensitive?

Ans: 

Yes. Python is a case-sensitive programming language.

  1. Is indentation required in Python?

Ans: 

Yes! Indentation is required in Python. Whereas indentation in other programming languages is mainly used for readability, it is important to execute the code in Python. It designates a coding block. An indented block contains all of the code for loops, classes, functions, and so on. The most common method is to use four space characters. Your code will not execute and throw errors if it is not indented.

  1.  What is the use of the swapcase() function in Python?

Ans: 

swapcase() is a string’s function used to convert all lowercase characters to uppercase and vice versa. The existing case of the string changes with this function.  If the string is mixed case, then swapcase() changes uppercase characters to lowercase and vice versa.

  1.  What is self in Python?

Ans: 

Self describes the object or instance of the class. In Python, we can access the class’s attributes and methods by using the “self” keyword. It connects the attributes to the arguments. This is explicitly provided as the first parameter in Python. It is useful in differentiating the methods and attributes of a class with local variables. 

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We use self because Python does not support the ‘@’ syntax for referring to instance attributes. We have methods in Python that cause the instance to be passed automatically but not automatically received.

  1. What is Pandas?

Ans: 

Pandas is a widely-used open-source Python library for data analysis/data science and machine learning. It was founded in 2008 by Wes McKinney in response to a demand for a strong and versatile quantitative analysis tool. It has now evolved as one of the most used Python libraries. 

Pandas fit in any role of data operation, whether it’s academics or tackling complicated corporate challenges. Pandas is one of the most important tools to master because it can handle a wide range of files.

  1. What are the limitations of Python?

Ans: 

Here is the list of some limitations of Python programming language:-

  • Python has some design restrictions.
  • Python is slower than some other popular programming languages such as C, C++, and Java.
  • Python lacks efficiency in mobile computing.
  • Python uses a huge quantity of memory. This can be a disadvantage when memory optimization is the preference.
  1. What is a negative index in Python?

Ans: 

Programmers can use positive and negative numbers to index Python sequences. The first index in a positive index is 0, the second index is 1, and so on. The last index in the negative index is (-1), the second last index is (-2), and so on.

Conclusion

In this blog, we have mentioned the most important Python interview questions and their answers that every Python job seeker must know. These questions are the most asked questions by employers while recruiting new employees. Hopefully, now you will easily crack your interview by answering most of the Python interview questions.

In case you need Python homework help, you can discuss your requirements with our experts anytime.

Frequently Asked Questions

Is Python good for games?

Yes, Python is one of the best choices for developing games. The PyGame library of Python is a very easy-to-use and beginner-friendly library for building games. Therefore, Python is a very easy language to start building games.

What is Lambda in Python?

The lambda keyword is used to declare a function without a name called a Lambda function or anonymous function. Normal functions are defined with the def keyword in Python, whereas anonymous functions are defined with the lambda keyword.

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