## Recent Posts

## Python : How to bind a function to an instance of a class in Python

from types import MethodType In Python, MethodType from the types module allows you to bind a function to an instance…

## Time and Distance – Questions and detailed solutions

Question 1. A person covers a distance of 800 meters in 4 minutes. What is their speed in meters per…

## Snowflake : Exploring the Power of Snowflake’s ARRAY_AGG Function

In the world of data warehousing and analytics, Snowflake has emerged as a popular cloud-based data platform known for its…

## PySpark : Extract values from JSON strings within a DataFrame in PySpark [json_tuple]

pyspark.sql.functions.json_tuple PySpark provides a powerful function called json_tuple that allows you to extract values from JSON strings within a DataFrame….

## PySpark : Finding the cube root of the given value using PySpark

The pyspark.sql.functions.cbrt(col) function in PySpark computes the cube root of the given value. It takes a column as input and…

## PySpark : Identify the grouping level in data after performing a group by operation with cube or rollup in PySpark [grouping_id]

pyspark.sql.functions.grouping_id(*cols) This function is valuable when you need to identify the grouping level in data after performing a group by…

## PySpark : Calculating the exponential of a given column in PySpark [exp]

PySpark offers the exp function in its pyspark.sql.functions module, which calculates the exponential of a given column. In this article,…

## PySpark : An Introduction to the PySpark encode Function

PySpark provides the encode function in its pyspark.sql.functions module, which is useful for encoding a column of strings into a…

## PySpark : Subtracting a specified number of days from a given date in PySpark [date_sub]

In this article, we will delve into the date_sub function in PySpark. This versatile function allows us to subtract a…

## PySpark : A Comprehensive Guide to PySpark’s current_date and current_timestamp Functions

PySpark enables data engineers and data scientists to perform distributed data processing tasks efficiently. In this article, we will explore…