Common asked Python Interview Questions for Junior Developers

Welcome to the world of Python! As a junior developer, preparing for interviews can be both exciting and nerve-wracking. In this guide, we will explore some of the most commonly asked Python interview questions tailored specifically for junior developers. Whether you’re just starting your programming journey or looking to solidify your foundational knowledge, these questions will help you gain confidence and insight into the key concepts and best practices in Python development. By understanding and mastering these questions, you’ll be better equipped to showcase your skills and passion for Python during interviews. Let’s dive in and get ready to ace those Python interviews!

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

As an interviewee, it is crucial to understand the difference between a list and a tuple in Python. While both are used to store multiple items, there are some key distinctions between them.

A list is a mutable data type, which means that its elements can be modified after it is created. It is represented by square brackets [] and can contain elements of different data types. Lists are commonly used when you need to store and manipulate a collection of items that may change over time.

On the other hand, a tuple is an immutable data type, meaning that its elements cannot be modified once it is created. It is represented by parentheses () and can also contain elements of different data types. Tuples are often used when you want to group related items together that should not be modified.

In summary, the main difference between a list and a tuple in Python is that lists are mutable, allowing you to add, remove, or modify elements, while tuples are immutable, providing a way to store data that should not be changed. Understanding this distinction is essential for writing efficient and bug-free Python code.

Write a program to find the factorial of a given number.

To find the factorial of a number, you can use a loop to multiply each number from 1 to the given number. Here is an example:

def factorial(num):    result = 1    for i in range(1, num+1):        result *= i    return result# Test the functionnumber = 5print("Factorial of", number, "is:", factorial(number))

This program defines a function called factorial that takes a number as input. It initializes a variable result to 1, and then uses a loop to multiply each number from 1 to the given number with the result. Finally, it returns the result as the factorial of the given number. In this example, we find the factorial of 5 and print the result.

This solution works for any positive integer input. It calculates the factorial by multiplying each number from 1 to the given number, ensuring that the factorial is correctly computed.

How do you reverse a string in Python?

As an interviewee, the perfect answer to this question would be to use string slicing in Python. Here’s an example:

string = "Hello, World!"reversed_string = string[::-1]print(reversed_string)

This code snippet uses string slicing with a step value of -1 to reverse the given string. The output of the above code will be:

!dlroW ,olleH

By using this approach, you can easily reverse any string in Python.

How do you handle exceptions in Python?

As an interviewee, the perfect answer to this question would be:

In Python, exceptions are used to handle errors that occur during the execution of a program. The basic syntax to handle exceptions is the try-except block. Within the try block, the code that might raise an exception is written. If an exception occurs, it is caught by the except block, which specifies the type of exception to catch and the code to be executed in response to that exception.

For example:

try:    # code that might raise an exceptionexcept ExceptionType:    # code to handle the exception

It is recommended to catch specific exceptions rather than using a generic Exception class. This allows for more precise error handling and avoids unintentionally catching unrelated exceptions.

Additionally, Python provides the finally block, which is executed regardless of whether an exception was raised or not. This block is typically used for cleanup tasks, such as closing files or releasing resources.

By effectively handling exceptions in Python, we can prevent our programs from crashing and provide meaningful error messages to the users.

Can you explain what a generator function is in Python?

A generator function in Python is a special type of function that allows us to generate a sequence of values over time, rather than returning a single value like a regular function. It uses the “yield” keyword instead of “return” to return a value and then pause the function’s execution. When the generator function is called again, it resumes from where it left off and continues its execution. This behavior allows us to create iterators that can generate a large sequence of values without storing them all in memory at once. By using generator functions, we can write more memory-efficient and performance-optimized code.

What is a lambda function in Python?

A lambda function in Python is a small anonymous function that can take any number of arguments but can only have one expression. It is a way to create small, one-line functions without the need for a formal function definition.

The syntax for a lambda function is:

lambda arguments: expression

For example, let’s say we want to create a lambda function to calculate the square of a number:

square = lambda x: x**2

We can then use this lambda function to calculate the square of a number:

result = square(5) # Output: 25

Lambda functions are often used as arguments for higher-order functions, such as map(), filter(), and reduce(). They can also be used to create simple, inline functions without the need for a separate function definition.

It’s important to note that lambda functions are limited in their functionality compared to regular functions. They are best suited for simple, one-line expressions. If you need to write more complex code or reuse the function in multiple places, it’s better to use a regular function definition.

Preparing for Python interviews using Huru App

Preparing for a Python developer interview as a junior developer can be a daunting task, but with the right resources and practice, it can be made much more manageable. The webpage at Huru Blog Common Interview Questions with Answers Provides valuable information on common interview questions and their answers, along with a job interview preparation app called Huru. This app offers unlimited job interview practice based on specific job posts and integrates with various job platforms. It’s a valuable resource for job seekers and individuals preparing for interviews. With its powerful features and availability on multiple platforms, it’s a great tool to enhance interview preparation. For more in-depth preparation and practice, consider exploring the resources available at. Common Interview Questions with Answers .

If you’re ready to take your interview preparation to the next level, check out Huru‘s job interview preparation app.

Good luck with your interview preparation!.