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I applied via Campus Placement and was interviewed in Jan 2024. There was 1 interview round.
OOPs concepts are the fundamental principles of object-oriented programming that help in designing and implementing software solutions.
Encapsulation: bundling data and methods together in a class
Inheritance: creating new classes from existing ones
Polymorphism: using a single interface to represent different types
Abstraction: hiding complex implementation details
Encapsulation example: class 'Car' with attributes like 'c...
A lambda function is an anonymous function in Python that can take any number of arguments but can only have one expression.
Lambda functions are defined using the lambda keyword.
They are commonly used when a small function is needed for a short period of time.
Lambda functions can be used as arguments in higher-order functions.
They are often used in functional programming and for writing concise code.
Example: lambda x: ...
Lists and tuples are both sequence data types in Python, but the main difference is that lists are mutable while tuples are immutable.
Lists are enclosed in square brackets [], while tuples are enclosed in parentheses ().
Lists can be modified by adding, removing, or changing elements, while tuples cannot be modified once created.
Lists are typically used for collections of similar items, while tuples are used for heterog...
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I applied via Recruitment Consultant and was interviewed before Oct 2020. There was 1 interview round.
I applied via Campus Placement and was interviewed before Nov 2021. There were 2 interview rounds.
Best wishes to you know that you have to come to the day da
Hi sir I have sent the best for first year and all the best for your reference
I applied via Company Website and was interviewed in May 2021. There were 3 interview rounds.
Design Patterns are reusable solutions to commonly occurring problems in software design.
Design Patterns provide a common vocabulary for developers to communicate about solutions to problems.
They help in making code more flexible, reusable, and maintainable.
Examples of Design Patterns include Singleton, Factory, Observer, and Decorator.
I appeared for an interview before Sep 2020.
Round duration - 30 Minutes
Round difficulty - Easy
The interviewer was quite friendly. There were two questions one from arrays and other one from strings.
Implement a program that performs basic string compression. When a character is consecutively repeated more than once, replace the consecutive duplicates with the coun...
Implement a program to compress a string by replacing consecutive duplicates with the count of repetitions.
Iterate through the string and keep track of consecutive characters and their counts.
Replace consecutive duplicates with the count of repetitions.
Ensure the count of repetitions is ≤ 9.
Return the compressed string.
Given an array ARR
consisting of N
integers, your goal is to determine the maximum possible sum of a non-empty contiguous subarray within this array.
Find the maximum sum of a contiguous subarray in an array of integers.
Use Kadane's algorithm to find the maximum subarray sum in linear time.
Initialize two variables: maxEndingHere and maxSoFar to keep track of the current subarray sum and the maximum subarray sum seen so far.
Iterate through the array and update the variables accordingly.
Return the maxSoFar as the result.
Tip 1 : Practice at-least 200-250 questions from different topics.
Tip 2 : Prepare aptitude well.
Tip 1 : Resume should be always one pager.
Tip 2 : Mention all your projects and if you have a good score mention it on top.
I applied via LinkedIn and was interviewed in Apr 2021. There were 4 interview rounds.
Data structures are ways of organizing and storing data in a computer so that it can be accessed and used efficiently.
Data structures are used to manage and manipulate data.
They can be implemented using arrays, linked lists, trees, graphs, and other methods.
Examples include stacks, queues, hash tables, and binary search trees.
Databases are essential for storing and managing large amounts of data efficiently.
Databases allow for easy organization and retrieval of data
They provide data security and integrity
Databases enable scalability and performance optimization
Examples include MySQL, Oracle, MongoDB, and SQL Server
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