Learn the NumPy trick for generating synthetic data that actually behaves like real data.

Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.

In a recent installment of the International Society of Automation’s “Ask the Automation Pros” series, Erik Cornelsen, ...

Data center demand forecasts have led to skyrocketing prices to secure future power supplies on PJM Interconnection, the largest electric grid in the U.S. Consumers served by PJM will pay $16.6 ...

Amazon.com Inc. alleges that a Berkshire Hathaway Inc.-owned utility in Oregon is failing to provide sufficient power for four new data center facilities, highlighting the strain rapid expansion of ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...

A high-performance Python package for converting high-frequency tick data into various bar types (time, volume, dollar, and tick bars) for financial analysis and algorithmic trading. This package ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

For an exercise in irony, take a moment to ask ChatGPT why large data centers — noisy and voracious consumers of energy and water — are necessary. The answer it gives is long and complicated, but what ...