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Type of inheritance in object-oriented programming determines how a subclass can inherit attributes and methods from a superclass.
Single inheritance: a subclass inherits from only one superclass.
Multiple inheritance: a subclass inherits from multiple superclasses.
Multilevel inheritance: a subclass inherits from a superclass, which in turn inherits from another superclass.
Hierarchical inheritance: multiple subclass...
AWS Lambda is a serverless computing service provided by Amazon Web Services.
Serverless computing service
Allows running code without provisioning or managing servers
Automatically scales based on incoming traffic
Supports multiple programming languages like Python, Node.js, Java, etc.
Pay only for the compute time consumed
List is mutable, tuple is immutable in Python.
List can be modified after creation, tuple cannot.
List uses square brackets [], tuple uses parentheses ().
List is used for dynamic data, tuple for fixed data.
Example: list_example = [1, 2, 3], tuple_example = (4, 5, 6)
Decorator is a design pattern in Python that allows adding new functionality to an existing object without modifying its structure.
Decorators are functions that take another function as an argument and extend its behavior without modifying it directly.
They are commonly used to add logging, timing, caching, or authentication to functions.
Decorators use the @ symbol followed by the decorator name above the function ...
A generator in Python is a function that returns an iterator object which can be iterated over to generate values lazily.
Generators are created using a function with 'yield' keyword instead of 'return'.
They allow for efficient memory usage as they generate values on the fly.
Generators are useful for generating large sequences of data without storing them in memory.
Example: def my_generator(): for i in range(5): ...
Fibonacci series is a sequence of numbers where each number is the sum of the two preceding ones.
Initialize variables for the first two numbers in the series (0 and 1)
Use a loop to calculate the next number by adding the previous two numbers
Continue the loop until the desired number of terms is reached
Main principles of OOP include encapsulation, inheritance, polymorphism, and abstraction.
Encapsulation: Bundling data and methods that operate on the data into a single unit (class). Example: Class with private attributes and public methods.
Inheritance: Ability to create a new class (derived class) from an existing class (base class), inheriting its attributes and methods. Example: Subclass 'Dog' inheriting from s...
Multiple decorators in Python allow stacking functions to enhance behavior without modifying the original function.
Decorators are functions that modify the behavior of another function.
Multiple decorators can be applied by stacking them above a function definition.
Example: @decorator1 @decorator2 def my_function(): pass
The order of decorators matters; the innermost decorator is applied first.
Use cases include logg...
List comprehension is a concise way to create lists in Python by iterating over an existing list or iterable.
List comprehension is more concise and readable than traditional loops.
It can be used to filter elements, perform operations on elements, or create new lists based on existing ones.
Example: squares = [x**2 for x in range(10)]
Example: even_numbers = [x for x in range(10) if x % 2 == 0]
A dictionary in Python is a collection of key-value pairs. It does not accept duplicate keys.
A dictionary is created using curly braces {}
Keys in a dictionary must be unique, but values can be duplicated
Example: my_dict = {'name': 'John', 'age': 30, 'city': 'New York'}
I applied via LinkedIn and was interviewed in Nov 2024. There was 1 interview round.
I applied via Company Website and was interviewed in Jul 2024. There were 3 interview rounds.
A generator in Python is a function that returns an iterator object which can be iterated over to generate values lazily.
Generators are created using a function with 'yield' keyword instead of 'return'.
They allow for efficient memory usage as they generate values on the fly.
Generators are useful for generating large sequences of data without storing them in memory.
Example: def my_generator(): for i in range(5): yiel...
Decorator is a design pattern in Python that allows adding new functionality to an existing object without modifying its structure.
Decorators are functions that take another function as an argument and extend its behavior without modifying it directly.
They are commonly used to add logging, timing, caching, or authentication to functions.
Decorators use the @ symbol followed by the decorator name above the function defin...
List is mutable, tuple is immutable in Python.
List can be modified after creation, tuple cannot.
List uses square brackets [], tuple uses parentheses ().
List is used for dynamic data, tuple for fixed data.
Example: list_example = [1, 2, 3], tuple_example = (4, 5, 6)
List comprehension is a concise way to create lists in Python by iterating over an existing list or iterable.
List comprehension is more concise and readable than traditional loops.
It can be used to filter elements, perform operations on elements, or create new lists based on existing ones.
Example: squares = [x**2 for x in range(10)]
Example: even_numbers = [x for x in range(10) if x % 2 == 0]
Fibonacci series is a sequence of numbers where each number is the sum of the two preceding ones.
Initialize variables for the first two numbers in the series (0 and 1)
Use a loop to calculate the next number by adding the previous two numbers
Continue the loop until the desired number of terms is reached
A dictionary in Python is a collection of key-value pairs. It does not accept duplicate keys.
A dictionary is created using curly braces {}
Keys in a dictionary must be unique, but values can be duplicated
Example: my_dict = {'name': 'John', 'age': 30, 'city': 'New York'}
Multiple decorators in Python allow stacking functions to enhance behavior without modifying the original function.
Decorators are functions that modify the behavior of another function.
Multiple decorators can be applied by stacking them above a function definition.
Example: @decorator1 @decorator2 def my_function(): pass
The order of decorators matters; the innermost decorator is applied first.
Use cases include logging, ...
Main principles of OOP include encapsulation, inheritance, polymorphism, and abstraction.
Encapsulation: Bundling data and methods that operate on the data into a single unit (class). Example: Class with private attributes and public methods.
Inheritance: Ability to create a new class (derived class) from an existing class (base class), inheriting its attributes and methods. Example: Subclass 'Dog' inheriting from superc...
Type of inheritance in object-oriented programming determines how a subclass can inherit attributes and methods from a superclass.
Single inheritance: a subclass inherits from only one superclass.
Multiple inheritance: a subclass inherits from multiple superclasses.
Multilevel inheritance: a subclass inherits from a superclass, which in turn inherits from another superclass.
Hierarchical inheritance: multiple subclasses in...
AWS Lambda is a serverless computing service provided by Amazon Web Services.
Serverless computing service
Allows running code without provisioning or managing servers
Automatically scales based on incoming traffic
Supports multiple programming languages like Python, Node.js, Java, etc.
Pay only for the compute time consumed
I am a seasoned Python developer with experience leading teams and delivering high-quality software solutions.
Over 5 years of experience in Python development
Strong leadership skills in guiding and mentoring team members
Proven track record of delivering successful software projects on time and within budget
Developed a web application for online shopping with user authentication and payment gateway integration.
Created user registration and login functionality using Django framework
Integrated Stripe API for secure payment processing
Implemented product catalog and shopping cart features
What people are saying about Infosys
I applied via LinkedIn and was interviewed before Jul 2021. There were 2 interview rounds.
Easy logical questions
basic quant
Easy level coding questions
Counting frequency of alphabets
I applied via Campus Placement and was interviewed before Jun 2020. There were 3 interview rounds.
I applied via Naukri.com and was interviewed before Oct 2019. There were 3 interview rounds.
Faced various technical challenges, including system integration and performance optimization, which I successfully navigated through strategic solutions.
Integration of legacy systems with modern applications: I utilized APIs and middleware to ensure seamless data flow.
Performance bottlenecks in a web application: Implemented caching strategies and optimized database queries, resulting in a 40% speed increase.
Debugging...
I applied via Walk-in and was interviewed before Sep 2019. There were 3 interview rounds.
I applied via Naukri.com and was interviewed before Apr 2020. There was 1 interview round.
I am a passionate software developer with 5 years of experience in developing web applications using various technologies.
5 years of experience in software development
Proficient in developing web applications
Skilled in using various technologies
Passionate about coding and problem-solving
Deadlock is a situation in which two or more processes are unable to proceed because each is waiting for the other to release a resource.
Deadlock occurs when two or more processes are stuck in a circular waiting state.
It happens when processes compete for resources and each process holds a resource that another process needs.
Four necessary conditions for deadlock are mutual exclusion, hold and wait, no preemption, and ...
I applied via Company Website and was interviewed in Oct 2018. There was 0 interview round.
based on 2 interview experiences
Difficulty level
Duration
Hyderabad / Secunderabad,
Chennai
+14-9 Yrs
Not Disclosed
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