Interview Questions and Answers on Python: If you are preparing for an interview related to Python programming language, you must be wondering what kind of questions you may encounter. Start preparing your Interview with “The best 50 interview questions and answers on Python programming language”.
Interview Questions and Answers on Python: Python Interview
- Introduction to Python Programming Language
It is a general-purpose computer programming language. It is also a high-level and interpreted programming language. It was created in the late 1980s and first released in 1991 by Guido van Rossum as a successor to the ABC language. Python’s design to emphasizes code readability and ease of use. - Importance of Python Language in the Industry
It is a very easy programming language in the world. It is used to build web development and data science to artificial intelligence and machine learning. - Types of Python Language Applications
Python programming language is used in various applications. It is used in web development, data analysis, machine learning, and artificial intelligence. It is a versatile language which is why it is popular. - Types of Interviews
You may encounter various types of interviews when applying for a Python-related role. These may include phone interviews, in-person interviews, or technical assessments. Each type of interview may have a different focus, so make sure to prepare accordingly.
Basic Questions: Interview Questions and Answers on Python
What is Python?
Python is an object-oriented, interpreted, and high-level programming language. Python is a simple and easy to learn. It supports modules and packages. This will encourage the programmer to make it modular and code reuse. It is very to use.
What are the advantages of using Python over other languages?
- Advantages of Python Language
- Easy to learn
- Easy to read
- Support object-oriented, procedural, and functional programming
What are the data types supported by Python?
- Numeric data types: int, float, complex.
- String data types: str.
- Sequence types: list, tuple, range.
- Binary types: bytes, bytearray, memoryview.
- Mapping data type: dict.
- Boolean type: bool.
- Set data types: set, frozenset. Python Numeric Data Type.
What is the difference between a list and a tuple?
A list is a mutable sequence, while a tuple is an immutable sequence.
What is the difference between range and xrange?
In Python 2, range generates a list of integers, while xrange generates an iterator. In Python 3, range generates an iterator by default.
What do you mean by IDLE in Python?
IDLE is Integrated Development Environment for editing and running Python programs. It will install when we install the Python interpreter.
Intermediate Questions: Interview Q n A on Python Language
Now let’s move on to some intermediate-level questions that test your understanding of more complex Python concepts.
What are decorators in Python?
Decorators are a way to modify or enhance the behavior of functions in Python. They allow you to add extra functionality to a function without changing its original code.
Explain the difference between ‘is’ and ‘==’ in Python.
The ‘==’ is a relational operator. It compares the equality of two objects. Python’s ‘is’ operator checks two variables that point to the same object in memory.
What is the use of the ‘if name == “main”:’ statement?
‘if name == “main”:’ statement is used to distinguish between code that is part of a module. It means that the code is meant to run when the module is executed as a script.
What is closure in Python?
A closure is an inner function object function. It has access to variables in its enclosing scope, even after the enclosing function has finished executing.
What is the difference between str() and repr() in Python?
The ‘str()’ function is used for creating a printable representation of an object. The function ‘repr()’ is used for creating a string that can be used to recreate the same object.
What is the use of docstrings in Python?
Docstrings are used to document Python code. They can be accessed using the doc function.
What is the GIL in Python?
The GIL or Python Global Interpreter Lock is a mechanism in Python that ensures only one thread executes Python bytecode at a time. It means that only one thread will execute at any point in time. This is done to prevent race conditions and ensure thread safety.
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Advanced Questions on Python Language: Python Interview
Now we are going to learn some advanced questions that touch upon some of the more complex aspects of Python.
What is the concept of generators in Python?
Generators are function. It returns an iterator which will produce a sequence of values when iterated will over. It allows o production of a sequence of values on the fly. This is useful for generating large datasets or working with infinite sequences.
What are metaclasses in Python?
Metaclasses are a way to modify the behavior of a class. They allow you to define how a class should be created. It can be used to create custom classes with specific properties or functionality.
What are the different ways to generate random numbers in Python?
Python has several built-in modules. These can be used to generate random numbers, including random, NumPy, random, and secrets.
What is monkey patching in Python?
Monkey patching is the practice of changing the behavior of a function or method at runtime. It can be useful for testing, debugging, or adding new functionality to existing code. It is a code that dynamically changes the behavior of existing objects.
What is the difference between a shallow copy and a deep copy of an object?
A shallow copy creates a new object that shares the same memory as the original object. A deep copy creates a new object with a new memory location and copies all of the values from the original object.
What is multithreading in Python?
Multithreading in Python is the practice of running multiple threads of code simultaneously within a single program. It means that a processor to execute multiple threads simultaneously is known as multithreading. This can be useful for achieving faster execution times and improving performance.
What are decorators in Python and how do you use them?
A decorator is a way to modify the behavior of functions in Python. It is a design pattern in Python. It defines a wrapper function and uses the ‘@’ symbol to apply it to the target function. It is usually called before the definition of a function.
def my_decorator(func):
def wrapper(*args, **kwargs):
print("Before calling function")
result = func(*args, **kwargs)
print("After calling function")
return result
return wrapper
@my_decorator
def my_function(x):
return x * x
print(my_function(5))
Output:
Before calling function
After calling function
25
What is the role of lambda functions in Python programming language?
Lambda functions are anonymous functions that can be used as a shorthand for creating simple functions without needing to define them as separate functions first. They are often used in functional programming.
Function and Class-Related Questions on Python Language: Python Interview
Let’s move on to some questions related specifically to functions and classes in Python.
What is a lambda function?
A lambda function is an anonymous function that can be used to create simple functions without needing to define them as separate functions first.
# Define a lambda function that doubles a number
double_number = lambda x: x * 2
# Call the lambda function with the number 10
result = double_number(10)
# Print the result
print(result)
What is a class in Python?
A class is a blueprint or template of an object. It defines the properties and methods of the object.
What is a method in Python?
A method is a function that is defined inside a class. It is used to perform operations on the object created from that class.
What is a constructor in Python?
A constructor is a special method that is called when an object is created from a class. It is used to initialize the object’s properties and state.
What is inheritance in Python?
When a class acquires the properties of another class is known as Inheritance. The class which is inherited from another class is known as a child and the class which has derived is known as the parent class.
# Define the Dog class, which inherits from the Animal class
class Dog(Animal):
def bark(self):
print("Woof!")
# Define the Cat class, which inherits from the Animal class
class Cat(Animal):
def meow(self):
print("Meow!")
# Create an instance of Dog
dog = Dog("Dog")
# Call the speak() method on the dog instance
dog.speak()
# Call the bark() method on the dog instance
dog.bark()
# Create an instance of Cat
cat = Cat("Cat")
# Call the speak() method on the cat instance
cat.speak()
# Call the meow() method on the cat instance
cat.meow()
What is polymorphism in Python?
Polymorphism is the ability of an object to take on multiple forms or types. In Python, this can be achieved through inheritance and subtype polymorphism.
# Define the Shape class
class Shape:
def __init__(self, name):
self.name = name
def area(self):
raise NotImplementedError("Area is not implemented for this shape")
# Define the Circle class, which inherits from the Shape class
class Circle(Shape):
def __init__(self, name, radius):
super().__init__(name)
self.radius = radius
def area(self):
return 3.14 * self.radius ** 2
# Define the Square class, which inherits from the Shape class
class Square(Shape):
def __init__(self, name, side):
super().__init__(name)
self.side = side
def area(self):
return self.side ** 2
# Create an instance of Circle
circle = Circle("Circle", 5)
# Print the area of the circle
print(circle.area())
# Create an instance of Square
square = Square("Square", 5)
# Print the area of the square
print(square.area())
What is encapsulation in Python?
The wrapping of data into a single unit (object) is known as Encapsulation. It hides the internal details of an object.
Database and File Handling Related Questions: Python Programming Language
What is SQLite in Python?
SQLite is a lightweight disk-based database SQL database engine. It is an open-source, high-reliability, embedded, full-featured cross-platform relational database management system that can be easily integrated into Python applications. Python SQLite package version 2.5. has the following features.
- Serverless
- Open-Source
- Self-Contained
- Zero-Configuration
- Embedded
- Transactional
- Single-Database
What is Object-Relational Mapping (ORM)?
Object-relational mapping is a technique for connecting object-oriented programming languages to relational database management systems. The layer of ORM connects object-oriented programming (OOP) to relational databases. It allows developers to work with objects instead of raw SQL. It makes it easier to map database tables to object classes.
What are Pickling and Unpickling in Python?
Pickling and unpickling are ways of serializing and deserializing Python objects. This is useful for storing and retrieving objects from files or databases.
What is JSON in Python?
The full form of JSON is JavaScript Object Notation. It is a lightweight data-interchange format that is easy to read and write. It represents the objects as name and value pairs.
import json
data = {
"name": "Vikash Kumar",
"age": 30,
"address": {
"street": "Vikash Kumar",
"city": "Kolkata",
"state": "WB"
}
}
json_data = json.dumps(data)
print(json_data)
--------------
Output: {"name": "Vikash Kumar", "age": 30, "address": {"street": "Vikash Kumar", "city": "Kolkata", "state": "WB"}}
Web Development-Related Questions: Python Interview
Some questions related specifically to web development in Python.
What is Flask in Python?
Flask is a lightweight web framework. It provides libraries to build lightweight web applications quickly and easily in Python. It was developed by Armin Ronacher. Armin leads an international group of Python enthusiasts called POCCO.
What is Django in Python?
Django is a full-stack web application framework for Python. high-level Python web framework. It is It makes it easier to create websites using Python.
What is Pyramid in Python?
Pyramid is a general-purpose web application framework for Python. It is an open-source, web application development framework that was built in Python. It is very flexible, reliable, and easy to use. It is backed by KARL a George Soros project.
Data Analysis Related Questions
Data Analysis Related Questions: Python Interview
Some questions related to data analysis in Python.
What is NumPy?
NumPy stands for Numerical Python is a library for Python that provides support for large, multi-dimensional arrays, matrices, and mathematical functions. It was created in 2005 by Travis Oliphant. It is an open-source project. It is used for data analysis and scientific computing.
What are Pandas?
Pandas is a library for Python. Panda library is used for working with data sets. It provides data structures and functions for working with structured data. such as tables and time series data. The function of Panda analyzing, clean, explore and manipulate data. It was created by Wes McKinney in 2008.
What is the use of Matplotlib?
Matplotlib is a library for Python. It creates static, animated, and interactive visualizations in Python. The tools of Matplotlib Python provide a variety of tools for creating visualizations and graphs from data.
What is SciPy?
SciPy is a library for Python. It is a collection of mathematical algorithms and convenience functions built on the NumPy extension of Python. It is used in scientific computing and data analysis, including modules for optimization, integration, interpolation, etc.
Artificial Intelligence-Related Questions: Python Interview
Some questions related specifically to artificial intelligence and machine learning in Python.
What is TensorFlow?
TensorFlow is a Python library. It is an end-to-end open-source framework for machine learning platforms. It is used in fast numerical computing. It is released by Google. This library is used used to create Deep Learning models and build neural networks and other deep-learning models in Python.
What is Keras?
Keras is a high-level, deep-learning API library for Python. This API was developed by Google for implementing neural networks. It is a simple and fast way to build and train machine learning models. It allows for rapid prototyping of models and experiments.
What is PyTorch?
PyTorch is a library for Python for building deep learning models. It builds and trains deep learning models. It is very easy for most machine learning developers to learn and use. It is used with both CPUs and GPUs.
What is OpenCV?
The full form of OpenCV is Open Source Computer Vision Library. It is a library for Python for building deep-learning models. It supports computer vision and image processing. It performs a variety of tasks. It is used for face recognition, object detection, etc.
What is Natural Language Processing (NLP)?
NLP is a field of computer science and artificial intelligence that focuses on the interaction between computers and human language. NLP can be used for a lot of tasks. It is used in sentiment analysis, text classification, and more.
What is Machine Learning?
It is a branch of artificial intelligence (AI) and computer science. It is a subset of artificial intelligence that focuses on building systems. It can learn from data and make predictions or decisions based on that data.
Conclusion: Interview Questions and Answers on Python – Python Interview
Python is an easy language. It is used in a variety of industries and applications. It is easy to learn and use. It makes an excellent choice for beginners and experts. With these 50 interview questions and answers, you’ll be well-prepared for any interview related to Python programming language.
FAQ: Interview Questions and Answers on Python
What are the main features of Python?
Python is very easy to learn
It is an interpreter-based programming language
Python is a dynamic and versatile language
Python has lots of libraries
It is all the features of OOP and for this reason, we can build any kind of application.
Write down the available token in Python.
Identifier or Variable
Punctuator
33 keywords in Python
Literals
Operators
What is PEP 8?
The PEP 8(Python Enhancement Proposal) is defined as documentation. It helps us to give guidelines on how to write Python code. The main purpose of PEP 8 is to improve the readability and consistency of Python code.