Overview:  Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets ...

These days, the industry would have you believe that data and analytics is all being done in the service of AI. And, given that, there's a lot of orientation toward data scientists' seemingly favorite ...

Kite, which suggests code snippets for developers in real time, today debuted integration with JupyterLab and support for teams using JupyterHub. Data scientists can now get code completions powered ...

Interactive Python modes are an easy way to learn new libraries. Scripting languages are easy to learn on their own because ...

Modern business applications bring together many strands of development. You’re no doubt most familiar with n-tier applications, building on decades of programming skills and techniques, linking UI to ...

The "Digital Engineering" course at DBauG represents a groundbreaking approach in engineering education, effectively blending programming skills with civil engineering concepts. This unique course, a ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Why are all of these companies using Jupyter? The biggest reason is that it just works.

Perched atop the Cerro Pachón ridge in the Chilean Andes is a building site that will eventually become the Large Synoptic Survey Telescope (LSST). When it comes online in 2022, the telescope will ...

At Cloud Next 2019, Google announced the launch of AI Platform, a comprehensive machine learning service for developers and data scientists. Google has many investments in the space of machine ...