Infosys Python Language Questions

Last Updated on June 25, 2024 by Abhishek Sharma

Infosys, a global leader in consulting, technology, and outsourcing solutions, often seeks talented individuals with strong programming skills, particularly in Python. Python is favored for its simplicity, versatility, and widespread application in various domains such as web development, data analysis, artificial intelligence, and more. To excel in Infosys’ recruitment process, candidates need to demonstrate proficiency in Python through technical assessments and interviews. This article provides an introduction to common Python language questions asked by Infosys, offering insights into what candidates can expect and how they can prepare effectively.

Infosys Python Language Questions

Here are a list of some python language questions commonly asked in Infosys interview:

Question 1) What is Python, and why is it used?
Answer: Python is a high-level, interpreted programming language that is widely used for web development, scientific computing, data analysis, artificial intelligence, and many other applications. It is known for its simplicity, ease of use, and readability, making it a popular language for beginners as well as experienced programmers. Python’s extensive library and community support make it a versatile language suitable for a wide range of applications.

Question 2) Explain the difference between a list and a tuple in Python.
Answer: In Python, a list and a tuple are both used to store a collection of values, but there are some key differences between the two:

• Mutability: A list is mutable, which means you can add, remove, or modify elements after creating the list. A tuple, on the other hand, is immutable, meaning you cannot modify its contents once it has been created.
• Syntax: A list is defined using square brackets [], while a tuple is defined using parentheses ().
• Usage: Lists are typically used when you have a collection of items that you may want to modify, such as a list of tasks to be completed. Tuples, on the other hand, are used when you have a collection of items that you don’t want to modify, such as a pair of latitude and longitude coordinates representing a location.

Question 3) What is a namespace in Python?
Answer: In Python, a namespace is a mapping from names to objects. It is used to organize and define the scope of names (variables, functions, classes, etc.) in a program. Every name in a Python program belongs to a specific namespace, which determines its accessibility and visibility.

There are several types of namespaces in Python, including the built-in namespace, global namespace, and local namespace. The built-in namespace contains names of built-in functions and modules, such as print() and math, and is available throughout the program. The global namespace contains names defined at the top level of a module and is accessible from anywhere in the module. Local namespaces are created for functions, classes, and other code blocks, and contain names defined within those blocks.

Question 4) What is PEP 8, and why is it important?
Answer: PEP 8 is a coding style guide for Python that outlines best practices and conventions for writing clean, readable, and maintainable code. PEP stands for Python Enhancement Proposal, and PEP 8 is one of the most well-known and widely adopted proposals in the Python community.

PEP 8 covers a wide range of topics, including naming conventions, code layout, indentation, comments, and more. It is important to follow these guidelines because they make your code more readable and understandable for other developers who may work with your code. Adhering to PEP 8 makes it easier to collaborate with others, reduces the potential for errors, and can ultimately save time and effort in the long run.

Question 5) What is the Dogpile effect?
Answer: In Python, the Dogpile effect refers to a specific problem that can occur when using a caching mechanism to store the result of an expensive operation (such as a database query or API call).

When the cached value expires or is invalidated, multiple threads or processes may simultaneously request the new value, resulting in a surge of requests that can overload the system and slow down response times. This can occur because the cached value is not available, so all the processes need to recalculate it, resulting in unnecessary duplicated work.

The Dogpile effect can be mitigated by using a locking mechanism to prevent multiple threads or processes from recalculating the same value at the same time. Python provides several libraries that can help with this, such as the Beaker caching library, which provides a locking mechanism and other features to prevent the Dogpile effect. Another approach is to use a distributed cache, such as Memcached or Redis, which can handle multiple requests in parallel and prevent duplication of work

Question 6) How can python be an interpreted language?
Answer: Python is an interpreted language because it is executed directly by the interpreter, without the need for compilation. The Python interpreter reads each line of code in a program and translates it to machine code or bytecode, which is then executed immediately. This allows for quicker development cycles and easier debugging, as changes to the code can be tested and executed quickly without the need to recompile the entire program.

Question 7) How to convert a string to a number?
Answer: In Python, you can convert a string to a number using built-in functions like int(), float(), or complex(), depending on the type of number you want to convert the string to.

Question 8) What are pickling and unpickling?
Answer: Pickling is the process of converting a Python object into a binary format that can be stored in a file or transferred over a network. Unpickling is the opposite process of converting the binary data back into the original Python object. The pickle module in Python provides functions for pickling and unpickling objects.

Question 9) What is PYTHONPATH in python?
Answer: PYTHONPATH is an environment variable that tells Python where to look for modules and packages that are not in the standard library. When a Python script is run, Python uses the directories listed in the PYTHONPATH variable to search for imported modules or packages.

If a module or package is located in a directory that is not in the default search path, it can be added to the PYTHONPATH variable to allow Python to find it. This can be useful when working on large projects with many modules, or when using third-party modules that are not installed in the standard library or virtual environment.

Question 10) Why zip() function is used?
Answer: The zip() function is used to combine corresponding elements from two or more iterables (such as lists or tuples) into a single iterable of tuples. This is useful, for example, when you want to iterate over multiple sequences in parallel and perform some operation on the corresponding elements at each step. It can also be used to transpose a matrix represented as a list of lists.

Question 11) Write a Program to Swap Two Numbers without using the Third Variable.

Input

4
5

Answer:

# your code goes here

# your code goes here

a=int(input())
b=int(input())



a=a+b 
b=a-b
a=a-b



print("After swapping a become:",end="")
print(a)

print("After swapping b become :",end="")
print(b)

Output

After swapping a become:5
After swapping b become :4

Question 12) Write a program to convert the string from upper case to lower case.

Input

PREPBYTES

Answer:

# your code goes here

text = "PREPBYTES"

print("Original String:")
print(text)


print("\nConverted String:")
print(text.lower())

Output:

Original String:
PREPBYTES

Converted String:
prepbytes

Question 13) Write a program to count the different types of characters in the given string

Input

prep bytes

Answer:

# your code goes here
string = "prep bytes";  
count = 0;  
  
for i in range(0, len(string)):  
    if(string[i] != ' '):  
        count = count + 1;  
   
  
print("Total number of characters in a string: ",end="")
print(count)

Output

Total number of characters in a string: 9

Question 14) Write a Program to Convert the Decimal Number to Octal Number.

Input

17

Answer:

def decimalToOctal(n):

    # array to store
    # octal number
    octalNum = [0] * 100

    i = 0
    while (n != 0):

    
        octalNum[i] = n % 8
        n = int(n / 8)
        i += 1


    for j in range(i - 1, -1, -1):
        print(octalNum[j], end="")


# Driver Code
n = 17

# Function Call
decimalToOctal(n)

Output

21

Question 15) What are the generators in python?
Answer: In Python, a generator is a special type of iterator that allows you to iterate over a sequence of values without having to create the entire sequence upfront. Instead, a generator generates the next value in the sequence on-the-fly, as you request it. This can be very useful for working with large or infinite sequences of data
Using a generator function: A generator function is a special type of function that contains the "yield" keyword instead of "return". When the generator function is called, it returns a generator object, which can be used to iterate over the sequence of values generated by the function

Conclusion
Preparing for Python language questions in Infosys interviews requires a solid understanding of fundamental and advanced concepts, as well as practical coding experience. By familiarizing yourself with common interview questions and practicing problem-solving, you can enhance your proficiency and boost your confidence. Remember to focus on key areas such as data structures, algorithms, OOP principles, and real-world applications of Python. With thorough preparation and a strategic approach, you can increase your chances of succeeding in Infosys’ technical assessments and securing a rewarding career opportunity.

Frequently Asked Questions(FAQ) related to Infosys Python Language Questions

Here are some frequently asked questions related to Infosys Python Language Questions:

1. What types of Python questions are typically asked in Infosys interviews?
Infosys typically asks a mix of questions covering basic syntax, data structures (lists, dictionaries, sets, tuples), algorithms, object-oriented programming (OOP), file handling, and real-world applications. Coding problems and conceptual questions are both common.

2. How should I prepare for Python coding questions for Infosys?
Practice solving problems on coding platforms like LeetCode, HackerRank, and CodeSignal. Focus on understanding Python’s core concepts, writing clean and efficient code, and solving problems related to data structures, algorithms, and OOP.

3. What are some common Python interview questions asked by Infosys?

Common questions include:

• Explain the difference between lists and tuples.
• How do you manage exceptions in Python?
• Write a function to reverse a string.
• Explain list comprehensions and provide an example.
• How do you implement inheritance in Python?

4. How important is understanding data structures and algorithms for Infosys Python interviews?
Understanding data structures and algorithms is crucial as many interview questions focus on solving problems efficiently. Knowledge of lists, stacks, queues, trees, graphs, and their associated algorithms (sorting, searching, etc.) is essential.

5. What Python libraries should I be familiar with for Infosys interviews?
While the core Python language is the primary focus, familiarity with libraries like NumPy, Pandas, and requests can be beneficial. Understanding how to use these libraries in practical scenarios can give you an edge.