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Parking calculator testing
I applied via LinkedIn and was interviewed in May 2021. There were 4 interview rounds.
Java hash map is a data structure that stores key-value pairs and uses hashing to efficiently retrieve values based on keys.
HashMap in Java implements the Map interface and allows null keys and values.
It uses hashing to store and retrieve key-value pairs, providing O(1) time complexity for get() and put() operations.
Example: HashMap
I applied via Naukri.com and was interviewed before Dec 2021. There were 4 interview rounds.
I applied via Job Portal and was interviewed before May 2023. There were 2 interview rounds.
90 min coding test with 4-5 problems to solve
I applied via Job Portal and was interviewed in Apr 2021. There was 1 interview round.
I applied via Referral and was interviewed before Jan 2024. There were 3 interview rounds.
Prepare well on coding n programming
Topic will be give should talk for a min
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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