The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

Software engineers at Bloomberg often create tools that solve problems related to cloud infrastructure, information retrieval, data science, natural language processing, mobile application development ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

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 Accel, ...

Viewing data is easier in the April update of Jupyter tooling in Visual Studio Code. That Jupyter tooling comes in the Jupyter extension available in the VS Code Marketplace, with said extension also ...

With the maturation of the open-source, cross-platform .NET Core initiative, Microsoft has been upping its data science analysis tooling lately, previewing .NET Core with Jupyter Notebooks ...