Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...

At the heart of this transition lies Polars Cloud, a fully managed environment built in partnership with Amazon Web Services ...

Overview: NumPy is ideal for data analysis, scientific computing, and basic ML tasks.PyTorch excels in deep learning, GPU ...

Overview: In 2025, data analytics tools blend AI, cloud, and automation for real-time insights and smarter decisions.Tableau, ...

pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into DataFrames and offers lots of operations you can perform on this data. It was ...

At the “Make with Notion” event on Thursday, the company announced the launch of its first AI agent. The agent will draw on all of a user’s notion pages and database as context, automatically ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

An analysis suggests two Wisconsin data centers could use more energy than all the state's homes combined. The estimate assumes constant power demand, so actual usage may be lower. Three other ...

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 ...

Keizo Asami Institute, iLIKA, Federal University of Pernambuco, Recife, Pernambuco 50670-901, Brazil Graduate Program in Biology Applied to Health, PPGBAS, Federal University of Pernambuco, Recife, ...

Abstract: With the global promotion of the "double carbon" goal, energy saving and emission reduction have become a worldwide consensus. This paper presents a Python-based energy consumption ...