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I applied via Recruitment Consulltant and was interviewed in Jun 2023. There were 4 interview rounds.
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In Mu Sigma APT round is divided into 3 sections Quant, Logical and verbal
FIFO stands for First In, First Out. LIFO stands for Last In, First Out.
FIFO is a method for organizing and manipulating a data buffer, where the first element added is the first to be removed.
LIFO is a method where the last element added is the first to be removed.
FIFO is like a queue, while LIFO is like a stack.
Example: In a FIFO queue, if elements A, B, and C are added in that order, they will be removed in the same...
I applied via Referral and was interviewed before Dec 2023. There were 2 interview rounds.
OOP is a programming paradigm based on the concept of objects, which can contain data in the form of fields and code in the form of procedures.
OOP focuses on creating objects that interact with each other to solve problems.
Key concepts include classes, objects, inheritance, polymorphism, and encapsulation.
Classes are blueprints for creating objects, while objects are instances of classes.
Inheritance allows a class to i...
Coding was good and it was based on bubble sort
Prepare well on coding n programming
Topic will be give should talk for a min
I applied via Referral and was interviewed in Dec 2021. There were 4 interview rounds.
posted on 11 Jan 2025
I applied via Naukri.com and was interviewed in Dec 2024. There were 3 interview rounds.
5 coading questions were asked in it
posted on 11 Nov 2022
Spark, python related questions
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...
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