Data visualizations. Most people have their first exposure to Jupyter Notebook by way of a data visualization, a shared notebook that includes a rendering of some data set as a graphic.

Data scientists are explorers. They use Jupyter Notebooks, one of the most popular environments for data science analysis, to begin work toward creative solutions to big problems. But once those ...

Russian-speaking hackers have been using a new malware to steal information from their victims. Named Jupyter, the threat has kept a low profile and benefited from a fast development cycle.

Jupyter Notebook is an open source web environment for data visualization. The modular software is used to model data in data science, computing, and machine learning.

Jupyter has become a de facto standard in scientific computing and data for good reason. It's easy enough for scientists of all stripes to record and share their findings with their colleagues.

Jupyter Notebooks let you combine code, comments, multimedia, and visualizations into an interactive document that can be shared, re-used, and re-worked. Originally developed for data science ...

Jupyter includes a Kotlin kernel that allows data scientists to write and run Kotlin code in Jupyter notebooks using third-party data science frameworks.

"Jupyter is a free, open-source, interactive web tool known as a computational notebook, which researchers can use to combine software code, computational output, explanatory text and multimedia ...

Deepnote, a startup that is building a data science platform on top of Jupyter-compatible notebooks, today announced that it has raised a $20 million Series A round co-led by Index Ventures and ...