If you're on the Databricks platform, you'll end up using their own brand of notebook, but even those are Jupyter-compatible. One way to think of a notebook is a place to put executable code and ...

While Databricks' built its success on open source, until now, the primary path to its analytics platform has been through its own executable notebook. Will the new integration with RStudio start ...

Using a Jupyter-type notebook hides the logging and intersperses explanatory text, code, and outputs, as shown in the two Databricks screenshots below. You don’t actually need Databricks to run ...

Jupyter creates interactive documents to mix code, text, and graphics. Jupyter is popular for sharing code and results in scientific computing. Jupyter notebooks consist of Markdown and code cells ...

Azure Jupyter Notebooks will eventually support R as well. For now, you can use RStudio locally and change the input and output for Azure later if needed, or install RStudio in a Microsoft Data ...

Use this in-depth Jupyter Notebook vs. PyCharm comparison to learn more about their features and pricing and to find your best fit.

Jupyter notebooks also encourage poor coding practice, he says, by making it difficult to organize code logically, break it into reusable modules and develop tests to ensure the code is working ...