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I applied via Referral and was interviewed before Mar 2020. There were 5 interview rounds.
I applied via Approached by Company and was interviewed in May 2024. There was 1 interview round.
I applied via campus placement at Institute of Aeronautical Engineering, Hyderabad and was interviewed in Jul 2023. There were 3 interview rounds.
Time and distance, profit and loss, relationship(blood relation), e.t.c. duration:5 minutes
posted on 2 Apr 2022
I applied via Naukri.com and was interviewed in Jun 2021. There were 4 interview rounds.
List is mutable and Tuple is immutable in Python.
List can be modified after creation while Tuple cannot be modified.
List uses square brackets [] while Tuple uses parentheses ().
List is used for homogenous data while Tuple is used for heterogenous data.
List is slower than Tuple in terms of performance.
Example of List: [1, 2, 3] and Example of Tuple: (1, 'hello', 3.14)
Python uses automatic memory management through garbage collection.
Python uses reference counting to keep track of memory usage.
When an object's reference count drops to zero, it is deleted.
Python also uses a garbage collector to handle circular references.
Memory allocation is handled by the Python memory manager.
Python provides tools like the 'gc' module for managing memory usage.
Yes, numpy and pandas are Python libraries used for data analysis and manipulation.
NumPy is used for numerical operations on arrays and matrices.
Pandas is used for data manipulation and analysis, providing data structures like DataFrame.
Both libraries are commonly used in data science and machine learning.
Example: import numpy as np; import pandas as pd;
Generator generates values on the fly while iterator iterates over a collection of values.
Generator is a function that returns an iterator.
Generators use 'yield' keyword to return values one at a time.
Iterators are objects that implement the 'next' method to return the next value in a collection.
Iterators can be created from arrays, strings, maps, sets, etc.
Generators are useful for generating large sequences of values...
I applied via Referral and was interviewed in Aug 2022. There were 3 interview rounds.
Easy case study with focus on presence of mind and basic maths
Easy case study and basic maths required
I applied via Referral and was interviewed in Jul 2021. There were 3 interview rounds.
I applied via Company Website and was interviewed in Feb 2021. There were 3 interview rounds.
Find peak in array in less than O(n) time
Use binary search to find peak element
Compare middle element with its neighbors to determine direction
Repeat search in direction of larger neighbor until peak is found
Find the next largest in the right side for every array element.
Iterate through the array from right to left
Use a stack to keep track of elements
Pop elements from stack until a greater element is found
If no greater element is found, assign -1
Find shortest path in 0,1 matrix from (0,0) to (n-1,n-1)
Use Breadth First Search (BFS) algorithm to find shortest path
Create a visited matrix to keep track of visited nodes
Create a distance matrix to keep track of distance from source node
Start BFS from (0,0) and keep updating visited and distance matrices
Return distance value at (n-1,n-1) in distance matrix
Finding the shortest super common string among an array of strings.
Create a set of all substrings of the first string
Iterate through the remaining strings and remove substrings not present in them
Return the shortest remaining substring
posted on 7 Mar 2021
I applied via Naukri.com and was interviewed in Feb 2021. There were 4 interview rounds.
based on 12 reviews
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