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Version: Python

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A Crash Course in Deephaven is your backpack guide through the world of real-time data analysis using the Deephaven data engine. This guide provides a broad - but clear and technically informative - overview of Deephaven’s capabilities. Let's dive in and unlock the potential of this powerful platform.

To follow along, ensure you have Docker installed on your machine. If you prefer to use pip to install Deephaven, check out the guide on installing Deephaven with pip.

Once Docker is installed, execute this Docker command:

docker run --rm --name deephaven -p 10000:10000 -v data:/data --env START_OPTS=-Dauthentication.psk=YOUR_PASSWORD_HERE ghcr.io/deephaven/server:latest
caution

Replace "YOUR_PASSWORD_HERE" with a more secure passkey to keep your session safe.

Open the Deephaven IDE at http://localhost:10000/ide/, enter your password in the password field, and you're ready to go!

The Docker command above creates a directory in your local working directory called data. Any files that you save in Deephaven will be stored there, ensuring you won't lose any valuable work. To learn more about mounting directories in Docker, check out this guide.

Deephaven can be configured and run in many different ways. More information on configuration options are discussed at the end of this crash course.