Wrapping Up

Where to go from here

This wraps up the Deephaven crash course. In it, you learned about:

• Deephaven's basic architecture
• Table constructors
• Table operations
• Query strings
• Python integrations
• Plotting
• Data I/O

This guide is your springboard into deeper exploration and utilization of Deephaven's powerful features in your real-time data analysis endeavors. Remember, this is just the beginning of your journey with Deephaven. To continue learning about Deephaven, check out any of these links:

• Deephaven's design
• Incremental update model
• Live DAG
• Table listeners
• Replay
• Execute SQL queries in Deephaven
• Access table metadata
• Select and create columns
• Filter table data
• Multiple aggregations
• Group and ungroup data
• update_by
• Exact and relational joins
• Inexact, time-series, and range joins
• Create and use partitioned tables
• Capture table history with snapshots
• Work with time
• User-defined functions
• Programmatically generate query strings
• Deephaven's Python package
• Jupyter
• Plotting
• Python server API documentation

As you integrate these concepts into your work, you'll unlock new levels of efficiency and insight in your data science projects and real-time analytics.

Get help

Learning Deephaven can be challenging at times, and we want you to succeed. To that end, Deephaven's documentation is full of detailed descriptions and examples of what every piece of the system does. Additionally, the community questions are a great resource for covering commonly-asked Deephaven questions. Finally, we encourage you to join our community Slack channel, where we're happy to support you through your Deephaven journey and answer any questions you may have.