Posted by the Cortana Analytics Gallery Team at Microsoft
We are super excited to announce the addition of Python notebooks to the Cortana Analytics Gallery.
Jupyter notebooks (formerly IPython) provide a highly productive canvas for data scientists and developers to explore ideas. At its heart, Jupyter is a multi-lingual REPL (Read, Eval, print and Loop), where you can enter code and get a response. The response can be program output, a graph, etc. The notebook is comprised of interspersed code and markdown text for documentation purposes.
Jupyter notebooks were added as a service on Azure Machine Learning in July last year. Notebooks are integrated into Azure ML Studio, which means you can explore datasets, write code, and build models conveniently from your notebook. With this release, we have added notebooks as a new entity type in the Gallery, enabling you to use gallery notebooks as a starting point when interacting with the Azure ML service.
You will notice these new elements to our enhanced Gallery:
|Landing page with notebooks in the spotlight.|
|Notebook details page|
|Inline preview on the details page|
|“Browse all” page for notebooks|
Here are some sample notebooks available in the Gallery:
These notebooks are also available for use through the Azure ML Studio “+New” experience for notebooks:
Try out this new feature and let us know what you think – since this is our first iteration at notebooks, we are hoping to get tons of great feedback. Also, do let us know if you would like to see a specific kind of notebook in the Gallery. We look forward to your ideas.