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Data Science Workspaces

Dash Enterprise > Enterprise AI Features > Data Science Workspaces

Be productive from Day 1. Write and execute Python, R, & Julia code from Dash Enterprise's onboard code editor.

Bring Python, R, and Julia into your organization at massive scale with Data Science Workspaces. Data Science Workspaces support authoring and execution of Dash apps, Jupyter notebooks, and scripts.

Data Science Workspaces makes it easier for new team members to be productive from Day 1, allowing multiple development environments for each branch of work.

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Data Science IDE
Jupyter notebooks
Dash apps
Enterprise grade
Docker
Terminal
Typeahead
Plugins
Secure networking
Linux is King
Dev = Prod.

A dream IDE for data science and model development.

We spent a year perfecting our ideal data science IDE, building on the Eclipse Foundation's excellent Theia project. The result is a cloud IDE that is purpose built for ML model development, data science, and data visualization, without any compromises.

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Creating a Jupyter notebook in Data Science Workspaces

๐ŸŽฅ Watch how a Jupyter notebook with Plotly Express charts in created in Data Science Workspaces.

Creating a Dash app in Data Science Workspaces

๐ŸŽฅ Watch how a Dash app is created & deployed in Data Science Workspaces.

Bring Python, R, and Julia into your Enterprise.

๐Ÿ‹ Write and execute data science code within secure Docker containers.

๐Ÿ Develop & deploy Dash apps from start to finish, entirely on Dash Enterprise.

๐Ÿ““Develop data science, AI, and ML algorithms in Jupyter notebooks.

๐Ÿ’ปUpskill Python and R beginners quickly by not requiring a desktop IDE.

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See Dash in action

Sign up for our next Dash Live Weekly demo session to learn more about our Dash Enterprise offering, including industry applications and all the latest tips and features on how to operationalize your data science models.

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