We're excited to announce a new feature for publishing your notebooks. We’ve also added support for the IPython kernel.
In Datalore you can share your notebook and get a link in seconds. Your work should be as easy to share as a web page.
To share, simply click Publish in the Datalore toolbar, or visit view.datalore.io and upload your workbook manually.
Alternatively, you can work with your Jupyter notebooks in PyCharm and give your teammates real-time access to your notebooks through the bundled Datalore plugin. Learn more in the PyCharm documentation.
Check out all of these features online at datalore.io and let us know what you think!
Complete our survey and win $50 Amazon certificate
We’re looking for better ways to do data science and would like to know your thoughts about Datalore so we can make the product better for you.
Please provide us with your valuable feedback by taking this survey, which should take around 5-7 minutes of your time.
You will have a chance of winning one of five $50 Amazon certificates. Winners will be picked at random from among the surveys that are filled out completely with meaningful answers.