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Gartner
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I applied via Company Website and was interviewed in Dec 2023. There was 1 interview round.
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I applied via Job Portal and was interviewed before Jan 2021. There were 2 interview rounds.
I applied via Walk-in and was interviewed in Apr 2020. There was 1 interview round.
I applied via Naukri.com and was interviewed in Jun 2021. There were 3 interview rounds.
I applied via Naukri.com and was interviewed before Oct 2020. There were 3 interview rounds.
Query to retrieve all customer names starting with A.
Use the SELECT statement to retrieve customer names.
Use the LIKE operator with the pattern 'A%' to match names starting with A.
Specify the table and column name where the customer names are stored.
Example: SELECT customer_name FROM customers WHERE customer_name LIKE 'A%';
I applied via Campus Placement and was interviewed before Jun 2021. There was 1 interview round.
ALL() ignores all filters in the query context, while ALLSELECTED() ignores only filters on columns in the visual.
ALL() removes all filters from the specified column or table.
ALLSELECTED() removes filters from the specified column or table, but keeps filters on other columns in the visual.
Example: ALL('Table') would remove all filters on the 'Table' in the query context.
Example: ALLSELECTED('Column') would remove filte...
COUNT() counts only numeric values, while COUNTA() counts all non-empty cells.
COUNT() counts only cells with numerical values.
COUNTA() counts all non-empty cells, including text and errors.
Example: COUNT(A1:A5) will count only cells with numbers, while COUNTA(A1:A5) will count all non-empty cells.
I applied via Approached by Company and was interviewed in May 2024. There were 2 interview rounds.
Basic quant questions with some questions on ML. 2 python questions based on data processing.
List is an ordered collection of elements with duplicates allowed, while set is an unordered collection of unique elements.
List maintains the order of elements, while set does not guarantee any specific order.
List allows duplicate elements, while set does not allow duplicates.
List is accessed by index, while set is accessed by value.
Example: List - [1, 2, 3, 1], Set - {1, 2, 3}
Concat is used to combine data along a particular axis, while merge is used to combine data based on a common key.
Concatenation is done along an axis (rows or columns) in pandas, while merging is done based on common columns or indices.
Concatenation is a simple operation that just appends data, while merging involves combining data based on a key.
Concatenation can be done even if the data does not have common columns, ...
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