It pairs Python’s data analysis and visualization libraries with Excel’s features, plus the ability to call Python analytics from Anaconda’s enterprise-grade Python distribution hub.

Seaborn is an easy-to-use data visualization library in Python. Installation is simple with PIP or Mamba, and importing datasets is effortless. Seaborn can quickly create histograms, scatter plots ...

AUSTIN, Tex., Sept. 8 — Continuum Analytics, the creator and driving force behind Anaconda, the leading Open Data Science platform powered by Python, is pleased to announce a technical collaboration ...

Intel Distribution for Python adds Intel's high-speed math libraries to the existing, highly convenient Anaconda version for data scientists Topics Spotlight: Advancing IT Leadership ...

Visualization and analytics tools available in preview, but may be paywalled. ... Python in Excel runs on Microsoft’s cloud servers, and the company is touting the security that should offer.

Though more complicated as it requires programming knowledge, Python allows you to perform any manipulation, transformation, and visualization of your data. It is ideal for data scientists.

The project has been successful in organizing a three days training program from 27-29 December to train about the distribution grid visualization using smart metering.

Access to Rich Python Libraries: Utilize a vast ecosystem of Python libraries for data manipulation, statistical modeling, and data visualization, all available within Excel. The integration of ...

Szorc hasn't addressed Python's mobile distribution story yet, but notes that this release is just the first in what he expects will be a long-running project.

The Intel Distribution for Python powered by Anaconda is designed for everyone from seasoned high-performance developers to data scientists looking to speed up workflows and deliver an easy to ...