feature Apr 22, 2019 7 mins Analytics Data Science Python Jupyter Notebook combines live code, graphics, visualizations, and text in shareable notebooks that run in a web browser Credit: NASA / JPL ...

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 ...

The problem with notebooks is that they're much better for experimental data science work than they are for production data engineering work. That's my own opinion, of course. But I stand by it.

"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 ...

DataRobot posits that over 30% of data scientists collaborate on a team with 10 or more data science experts, each with their own preferred tools and languages. Additionally, other groups in the ...

Others in the academic environment can also benefit from Jupyter Notebook’s user-friendly interface, which democratizes data science. Professors and students in just about every discipline, from ...

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.

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 ...

The software gives users access to data science capabilities that they’re used to from the Jupyter notebook–such as exploring and cleaning data, creating machine learning and deep learning models, ...

Jupyter Notebooks, even though tightly tied to data science darling programming language Python, can now be done with .NET languages C# or F#. The popular notebooks provide interactive environments -- ...