The platform can be used in a web browser and allows for users to launch and explore data science projects. All of the projects on the platform are stored in an ipynb file. It is intended to be used as a sharing platform so that data scientists can collaborate with each other. The collaborations can happen in real-time with both discussions and debugging possible. There is also a versioning feature which allows for users to track the changes made to their notebook. Users can ask for their peers to review their code and view comments made by their peers regarding the code.
Other features on the platform include a scheduling option and the ability to upload and sync files. Users can utilize a variable feature, allowing for them to see patterns in their code. Deepnote also offers an autocomplete feature in order to aid in expediting the writing of code.
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