Wrapping up

What you learned

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

• Deephaven's basic architecture
• Creating tables
• Table operations
• Time and calendars
• Query strings
• Recipes, not loops
• Python integrations
• Plotting
• deephaven.ui
• Data I/O
• Configuring your Deephaven instance

Where to go from here

This crash course is a starting point. To continue learning about Deephaven, check out any of these links, grouped by the crash course topic they build on, followed by the API reference:

• Deephaven's basic architecture
  • Deephaven's design
  • Incremental update model
  • Live directed acyclic graph (DAG)
  • Table listeners
• Creating tables
  • Replay data from static tables
• Table operations
  • Access table metadata
  • Select and create columns
  • Filter table data
  • Perform multiple aggregations at once
  • Group and ungroup data
  • Compute rolling aggregations with update_by
  • Perform exact and relational joins
  • Perform inexact, time-series, and range joins
  • Create and use partitioned tables
  • Capture table history with snapshots
• Time and calendars
  • Work with time
  • Work with calendars
• Query strings
  • Query string overview
  • Python variables in query strings
  • Python functions in query strings
  • Python classes and objects in query strings
  • Programmatic query string generation
• Recipes, not loops
  • Vectorization and the recipe paradigm
• Python integrations
  • Deephaven's Python package
  • Use Deephaven in Jupyter
• Plotting
  • Deephaven Express
  • Real-time plotting overview
• deephaven.ui
  • deephaven.ui documentation
• Data I/O
  • Read CSV files
  • Read Parquet files
  • Connect to a Kafka stream
  • Work with Iceberg tables
  • Read data from SQL databases
• Configuring your Deephaven instance
  • Create a Deephaven configuration file
  • Update Deephaven
• API reference
  • Python server API documentation

Get help

Learning Deephaven can be challenging at times, and we want you to succeed. These resources can help:

• The Deephaven overview explains what Deephaven is and how it works.
• The community questions cover commonly asked Deephaven questions.
• 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.