Databot is an experimental alternative to querychat that works with R or Python. And it’s now available as an add-on for the ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

While Python is ideal for complex and highly customized data transformations, it demands a steep learning curve. Power Query: Power Query simplifies the data cleaning process with its intuitive ...

For Starburst and Trino developers and data engineers, this announcement means that they no longer need to offload data to frameworks like PySpark and Snowpark to handle complex transformation ...

Discover 1-minute Python hacks to automate tasks, clean data, and perform advanced analytics in Excel. Boost productivity effortlessly in day ...

It is a handy tool for keeping a record of data explorations, creating charts, styling text and sharing the results of that work. For data analysis, the cornerstone package in Python is “Pandas”.

The second part is LakeFlow Pipelines, which is essentially a version of Databricks’ existing Delta Live Tables framework for implementing data transformation and ETL in either SQL or Python.

A transformation factory approach creates a repeatable process that lays the proper data foundation for your transformation.

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job.

Businesses are embracing the fact that data can be a core differentiator, and those harnessing its capabilities are going to succeed.