The Most Wanted Python Interview Questions

The followings are trending and the most wanted Python Interview Questions for Freshers. These could be categories as Basic to Fundamentals. I am pretty sure if you go through the following questions and answers, your knowledge will be more sharpen and your base will be hard rock regarding Python language. Please go a head to questions:

Table of Contents

1. What inspired you to create Python code?

I first became interested in programming in high school. My brother was taking a programming class and he let me borrow his textbook. I started out with BASIC, but eventually I moved on to Python. I was really intrigued by the elegance and succinctness of the Python language.

After I graduated from college, I started working at a software company and I began working on a Python project. I really enjoyed the challenge of programming and I decided to focus my career on Python. I have been working as a Python developer for over 10 years and I still enjoy it every day. (You could manipulate the answer accordingly)

2. What are some of Python’s distinguishing features?

Python is a interpreted, high-level, general-purpose programming language with a focus on code readability. It has a large and comprehensive standard library, and an immense collection of third-party libraries that covers a vast array of topics. Python also has a well-defined, gentle learning curve, and is welcoming to first-time programmers. It is frequently used in scripting and data science applications.

3. How did you come up with the name “Python”?

There are several possible explanations.

  • One possibility is that Guido van Rossum, the creator of Python, was inspired by the Monty Python comedy troupe.
  • Another possibility is that Python was named after the snake. Python is a powerful snake that can kill its prey by constriction.

4. What are the benefits of using Python?

The benefits of using Python are that it is user-friendly, versatile, and efficient. Python is user-friendly because its syntax is easy to read and understand. It is versatile because it can be used for a variety of purposes, including developing web applications, software, and data analysis. Python is efficient because it is a compiled language, which makes it run faster than interpreted languages.

5. What are some of the best things about Python?

The best things about Python are that it is a very expressive language, it has a large standard library, and it is easy to learn.

6. What do you see as the future of Python?

The future of Python is very bright. Its popularity is only increasing and more people are starting to use it every day. Python is a very versatile language and has a lot of potential uses. It is a great choice for both beginners and experienced developers.

7. What challenges do you see for Python development in the future?

Python has continued to grow in popularity over the years, and there are no signs that this trend will change anytime soon. This means that the language will continue to face competition from other languages, such as Java and JavaScript. Additionally, Python developers will need to keep up with the latest advancements in the language in order to remain competitive in the job market.

8. What do you think sets Python apart from other programming languages?

Python is user-friendly, versatile and efficient.

Python is an interpreted language, meaning that program code can be run immediately, without first having to be compiled into machine code. This makes development less time-consuming, and can also lead to shorter, more concise programs. In addition, Python has a large and active development community, with a huge number of libraries and tools that make development easier.

10. What do you think are its most important applications?

There are many Python applications, but some of the most important are numerical analysis, scientific computing, data mining, machine learning, natural language processing, and web programming.

11. What do you think makes Python an attractive choice for web development?

Python is a simple, yet powerful language which makes it an attractive choice for web development. Additionally, there are many modules and libraries available for Python which allow developers to easily create robust web applications.

12. What are some best practices for Python development?

Some best practices for Python development include using a Python code editor, using a virtual environment, using a package manager, and using unit testing.

13. What are some common Python development tools?

Some common Python development tools include the following:

  • PyCharm
  • Anaconda
  • Spyder
  • Jupyter Notebook
  • Python Tutor

Anaconda is popular Python development tool because it offers a variety of features and benefits, including the following:

  • Anaconda is free and open source.
  • Anaconda includes over 1,500 open source packages.
  • Anaconda is available on Windows, Mac, and Linux.
  • Anaconda includes the Spyder IDE, which is popular among Python developers.

15. What are some common Python development challenges?

Some common Python development challenges are:

  • Ensuring that code is maintainable and readable.
  • Debugging code.
  • Handling errors gracefully.
  • Writing efficient code.
  • Testing code.

16. What are some good resources for learning Python development?

Some good resources for learning Python development include books such as “Learning Python” and “Python for Data Science Quick Start” as well as online courses and forums.


  • “Learning Python” by Mark Lutz is a comprehensive guide to the Python language.
  • “Python for Data Science Quick Start” by Alberto Boschetti and Luca Massaron is a practical guide to data science with Python.

Online courses

  • The Python Tutorial is a comprehensive resource for learning Python.
  • The Python Data Science Bootcamp is an online course that covers data science with Python.


The Python Forums are a good place to ask questions and get help with Python development.

17. What are some tips for Python development?

  • Use Python 2.7.x or 3.x
  • Use virtualenv to create isolated Python environments
  • Use pip to install Python packages
  • Use github or Bitbucket to track your Python code

18. What are some common Python development patterns?

There are a number of popular Python development patterns. One popular pattern is the decorator pattern. The decorator pattern is a design pattern that allows you to add functionality to an existing object without changing the object’s structure.

19. What are the pros and cons of Python?

The pros of Python are that it is an interpreted language, which makes it easier to learn and use than some other languages; it is free and open source; it has a large community of users and developers; and it is versatile and can be used for a variety of purposes.

Some of the cons of Python are that it is not as fast as some other languages; it is not as widely used in the enterprise as some other languages; and some older libraries and modules are not as well-maintained as newer ones.

20. What are the benefits of using Python?

Python is a general-purpose interpreted, high-level, structured, and object-oriented programming language, created on December 3, 1989, by Guido van Rossum, with a design philosophy entitled, “There’s only one way to do it, and that’s why it works.”

There are many benefits to using Python, such as:

  • Python is easy to learn.
  • Python is cross-platform.
  • Python has a huge standard library.
  • Python is well-documented.
  • Python is extensible.
  • Python is popular.
  • Python is stable.
  • Python is fast.

21. What are the features of Python?

Some features of Python are as follows:

  • Clear and concise syntax
  • Easy to learn
  • Dynamically typed
  • Interpreted language
  • Supports object-oriented programming

22. What are the applications of Python?

Some applications of Python are:

  • Web Development
  • Software Development
  • Data Analysis
  • Scientific Computing
  • Artificial Intelligence
  • Machine Learning

23. What are the drawbacks of Python?

There are a few drawbacks to using Python. One is that the language can be challenging to learn for beginners. Python also lacks built-in support for certain features, such as numeric arrays, which can make certain tasks more difficult. Additionally, Python code can be less efficient than code written in some other languages.

24. What are the best practices of Python?

Some of the best practices of Python include using white space liberally, using modules and packages, and using descriptive variable and function names.

25. What is the difference between Python and Java?

There are a few key differences between Python and Java. Python is a dynamically typed language, meaning that you do not need to specify the data type of a variable when you declare it. Java is a statically typed language, meaning that you must specify the data type of a variable when you declare it. Python is also a more concise language than Java.

26. What is the difference between Python and JavaScript?

The main difference between Python and JavaScript is that Python is a statically typed programming language, whereas JavaScript is a dynamically typed programming language.

27. What is the difference between Python and R?

Python is faster and more concise than R, while R has more built-in statistical functions.

28. What is the difference between Python and Ruby?

The main difference between Python and Ruby is that Python is a more popular general-purpose language, while Ruby is often used for web development.

29. What are the differences between Python and other languages?

The differences between Python and other languages depend on which other language is being compared. Some of the most significant differences include:

  • Python is strongly typed, while other languages may not be. This means that the type of data being operated on must be compatible with the type of operation that is being performed.
  • In Python, functions are first-class objects. This means that they can be assigned to variables, returned from functions, and be passed as arguments to other functions.
  • Python is a interpreted language, while other languages may be compiled. This means that Python code is run directly from the source code, while other languages are converted to machine code that can be run faster.
  • Python has a very extensive standard library that includes modules for a wide variety of tasks. Other languages may not have as many libraries available.

30. What is the syntax of the “print” statement in Python?


31. What are some built-in functions in the Python language?

  • abs(x) which can be used to get the absolute value of a number
  • a list of all the public libraries
  • limit(x, y) will calculate the values of x either below or up to y
  • int(x) will convert floating point number to an integer
  • max(x, y, z) to find the largest between x, y, z
  • dir() can list all the processes currently running on the system

32. What is the Python output function?

The python output function would be to produce output into the value that you want the user to see. For instance, if you wanted to see your name but not your phone number, your output would be your name with the quote marks around it.

33. What are attributes?

A data item, property, or particle is attribute.

34. How do you convert data to Python syntax?

Python reverses data encoding for you. Just forward-slash escape quotes and escape embedded newlines. For example:

Value2 = 'a\nstrg' xyzValue3 = 'random-value'eval("Value4=Value2 + Value3")Value4 = 'a\nstrg' Lastlinexyz

Python data encoding converts this to + Change Linefeed To Carriage Return And Linefeed.

You convert data to Python syntax by typing it behind the Python code.

35. What are examples of Python data types?

There are five major types of data in Python: integers, long numbers, floats, strings, booleans, and lists.

36. What is the best way to iterate over multiple values in Python?

The best way to iterate over multiple values is to use a few built-in functions, for loop, which is the Python function for looping through a set of values. You can use len() to count the number of items in an array or list .

37. What is an example of */liPy */li struct */liP */l item */liP */l * */liPy */li struct */liP */ls Parameter

One example of Python data items is an integer, for example, the number of sales the company has closed within the month.

38. What are Iterators?

Python iterators are single objects representing all of the items in some data structure

39. What is Sequence?

A sequence is an abstract data type

40. What is string?

A string is an immutable sequence of characters

41. What is For loop for in Python?

A for loop is used for iterating over all the items in an ordered collection.

42. What is Increment?

An increment is the next in an arithmetic sequence

43. What is Quotient?

It is possible to denominator denominator of a fraction

44. What do you men by Inheritance in Python?

Classes are sets of declarations

Given the following statement

class class1:

inheritance=sets.ImmutableSet({4}) parent=None

The inheritance parameter states that the set is immutable, and contains one item; 4. The parent specifies which object the class is inheriting from.

45. How do you mean Debug in Python?

Debug in Python is practiced via print. Many people use sys.__stdout__.write. But a very important thing to note is that sys.__stdout__ is a file object.

46. What is a file object?

A file object represents a connection to a particular location on a computer-related storage unit.

47. What is import in Python syntax?

It’s the process of bringing Python functions, classes, types libraries into libraries

48. How do I indent in Python?

In Python, indentation is used to control code block nesting. In order to indent in Python, you must use either a tab or a space, with spaces being the default. Python code must maintain consistent levels of indentation.

49. What are Python Keywords?

Keywords are the words and their respective meanings most commonly used in Python programming. Keywords in Python are words which are not reserved with any data type modifiers. They are distinguished by their case in most programming languages with the exception of python.

Keywords in Python mostly used:

  • True, False
  • not, and, or, is
  • while, for, if
  • not, break, continue
  • sub, print, while, exec
  • return, break
  • del, in, elif
  • except
  • try
  • pass, while

50. Describe about “True and False” keywords in Python?

True and False: Represent Boolean values which give the impact whether something is true or false.

51. Describe about “and” keywords in Python?

and: Represent Boolean values which give the impact whether something is true or false. and and or: Used in expressions and expressions and statements to order the conditions.

52. Describe about “not” keywords in Python?

not: Negates the effect of the expression. Used to store true or false part.

53. Describe about “or” keywords in Python?

or: Exchanges the default Java around operators and reflects around operators.

54. Describe about “in” keywords in Python?

in: Used for checking if an equation formula is present in Python list.

55. Describe about “elif” keywords in Python?

elif: Syntax for repeating the contrary of the Boolean event that utilizes “else” and “if”.

56. Describe about “except” keywords in Python?

except: Permits validation and assault to be accomplished.

57. Describe about “break” keywords in Python?

break: Syntax for the end of the up and down and ” … and and and “

58. Describe about “try” keywords in Python?

try: Supports validation and assault to be sustained.

59. Describe about “pass” keywords in Python?

pass: Having the significance of not taking part in a verbs.

60. Describe about “while” keywords in Python?

while: Executing a group of essentials in a solitary words.

61. What is the role of Python keywords?

The keywords in Python performs a very significant role in Python programming. They are the words which are not assigned with any data type modifiers.

62. What is the specialty of Python keywords?

In python, Keywords are distinguished by their casing, with the exception of Python Keywords. In order to ace the language, it is important to know about these keywords.

63. What is a list in Python?

Unsurprisingly, a list in Python is a data type that is made up of items you list by indentation enclosed in square brackets. For example, your grocery list might look like this:

  • A dozen eggs
  • A pack of bacon
  • More lettuce
  • A bag of apples

All of these items are lined up with indents to make them easier to read, but is the list.

64. What is Python?

Python is a high-level, interpreted, and general-purpose programming language known for its simplicity and readability. It emphasizes code readability and uses an elegant syntax that allows programmers to express concepts in fewer lines of code than other programming languages.

65. What are the key features of Python?

Some key features of Python include:

  • Easy-to-read and expressive syntax
  • Dynamic typing and automatic memory management
  • Extensive standard library
  • Support for multiple programming paradigms (procedural, object-oriented, functional)
  • Wide range of third-party libraries and frameworks
  • Cross-platform compatibility

66. What is the difference between Python 2 and Python 3?

Python 2 and Python 3 are two major versions of Python that have some significant differences. Some key differences include:

  • Print statement: In Python 2, print is a statement, whereas in Python 3, it is a function.
  • Unicode: Python 2 uses ASCII by default, while Python 3 uses Unicode.
  • Division operator: In Python 2, the division operator (/) performs integer division if both operands are integers. In Python 3, it performs true division.
  • Syntax: Python 3 introduced some syntax changes and improvements over Python 2.
  • Libraries: Some libraries are not fully compatible with both versions.

67. Explain the different data types in Python.

Python has several built-in data types, including:

  • Numeric types: int (integers), float (floating-point numbers), complex (complex numbers)
  • Sequence types: str (strings), list (mutable ordered sequences), tuple (immutable ordered sequences)
  • Mapping type: dict (key-value pairs)
  • Set types: set (unordered collection of unique elements), frozenset (immutable set)
  • Boolean type: bool (True or False)
  • NoneType: Represents the absence of a value

68. What is the difference between a list and a tuple in Python?

A list is a mutable sequence type, meaning its elements can be modified after creation. On the other hand, a tuple is an immutable sequence type, and its elements cannot be modified once defined. Lists are defined with square brackets `[ ]`, while tuples are defined with parentheses `( )`.

69. What is the difference between `range()` and `xrange()` functions in Python 2?

In Python 2, `range()` returns a list of numbers, while `xrange()` returns an xrange object, which is an iterable. The `xrange()` function is more memory-efficient as it generates numbers on the fly instead of creating a list in memory. However, in Python 3, `xrange()` was removed, and `range()` behaves like `xrange()` from Python 2.

70. What is a dictionary in Python?

A dictionary is an unordered collection of key-value pairs. It is defined with curly braces `{ }` and uses colons `:` to separate keys and values. Dictionaries are mutable and allow efficient lookup and retrieval of values based on their keys.

71. What is the difference between a shallow copy and a deep copy?

A shallow copy creates a new object that references the same memory locations as the original object. Changes made to the new object will reflect in the original object and vice versa. A deep copy, on the other hand, creates a completely independent copy of the object and its contents, so changes made to the new object do not affect the original object.

72. How do you handle exceptions in Python?

Exceptions are handled using try-except blocks in Python. The code that could potentially raise an exception is placed inside the try block, and the code to handle the exception is placed inside the except block. If an exception occurs in the try block, the corresponding except block is executed.


# Python code
# Code that may raise an exception

except SomeException:
# Code to handle the exception

73. What are decorators in Python?

Decorators are a way to modify the behavior of a function or a class without directly changing their source code. They allow additional functionality to be added to existing functions or classes dynamically. Decorators use the @ symbol and are placed above the function or class definition.


#Python Code
def decorator_function(func):
def wrapper(*args, **kwargs):
# Code to execute before the original function
result = func(*args, **kwargs)
# Code to execute after the original function
return result
return wrapper

def my_function():
# Function code

74. Explain the concept of generators in Python.

Generators are functions that can be paused and resumed, producing a sequence of values over time. They use the yield keyword to return values one at a time, unlike regular functions that return all values at once. Generators are memory-efficient and are useful for generating large sequences of values or for lazy evaluation.


#Python code
def number_generator(n):
    for i in range(n):
        yield i

my_generator = number_generator(5)
for num in my_generator:

75. What is the Global Interpreter Lock (GIL)?

The Global Interpreter Lock (GIL) is a mechanism used in CPython (the reference implementation of Python) to synchronize access to Python objects, ensuring that only one thread executes Python bytecode at a time. The GIL can impact the performance of Python programs that heavily rely on multithreading for CPU-bound tasks. However, it does not hinder performance for I/O-bound tasks or when using multiple processes instead of threads.

76. How do you handle file I/O in Python?

Python provides built-in functions and methods for reading from and writing to files. The `open()` function is used to open a file, and the `read()`, `readline()`, and `readlines()` methods are used to read data from a file. Similarly, the `write()` and `writelines()` methods are used to write data to a file. It’s important to close the file using the `close()` method or by using the `with` statement, which automatically closes the file when done.


# Python code
# Reading from a file
with open('file.txt', 'r') as file:
data =

# Writing to a file
with open('file.txt', 'w') as file:
file.write('Hello, world!')

77. How do you handle modules and packages in Python?

Modules in Python are files that contain Python code and can be imported into other Python programs. Packages are a way of organizing related modules into a directory hierarchy. A package is essentially a directory that contains an `` file and one or more module files. Modules and packages provide a way to organize and reuse code.

To use a module or package, you can import it using the `import` statement. For example:

# Python code
import module_name
from module_name import function_name
from package_name import module_name

These are just a few examples of possible interview questions for Python. It’s essential to have a solid understanding of the language, its features, and its ecosystem to perform well in Python interviews. Make sure to study and practice further to enhance your Python skills.

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