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The four pillars of Java are abstraction, encapsulation, inheritance, and polymorphism.
Abstraction: Hides complex implementation details and only shows the necessary features. Example: Interface in Java.
Encapsulation: Bundles data and methods into a single unit. Example: Class in Java.
Inheritance: Allows a class to inherit properties and behavior from another class. Example: Parent and child classes.
Polymorphism: Allow...
I applied via Naukri.com and was interviewed in Mar 2024. There were 3 interview rounds.
They will directly share the test link in zoom meeting
They will give one topic you can discuss on the topic
PrimeSoft Solutions interview questions for popular designations
I applied via Walk-in and was interviewed in Jan 2024. There was 1 interview round.
The 1st round was appitude & java Technical questions it is easy mode
I applied via Naukri.com and was interviewed in Jun 2023. There were 2 interview rounds.
I applied via Approached by Company and was interviewed before Jun 2023. There were 2 interview rounds.
I applied via Recruitment Consultant and was interviewed in Aug 2020. There was 1 interview round.
posted on 17 Dec 2024
I applied via Instahyre and was interviewed in Nov 2024. There was 1 interview round.
Use SQL query to count number of reportees for each manager and filter out those with atleast 5 reportees.
Write a SQL query to count number of reportees for each manager using GROUP BY clause
Add HAVING clause to filter out managers with atleast 5 reportees
Example: SELECT managerId, COUNT(id) AS num_reportees FROM table_name GROUP BY managerId HAVING num_reportees >= 5
Use libraries like pandas and dask to efficiently manage large datasets in Python.
Use pandas library for data manipulation and analysis.
Use dask library for parallel computing and out-of-core processing.
Optimize memory usage by loading data in chunks or using data types efficiently.
Consider using cloud services like AWS S3 or Google BigQuery for storing and processing large datasets.
Some commonly used Python libraries for Data Analysts are Pandas, NumPy, Matplotlib, and Scikit-learn.
Pandas - used for data manipulation and analysis
NumPy - used for numerical computing and working with arrays
Matplotlib - used for data visualization
Scikit-learn - used for machine learning and data mining
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