Seasoned Deephaven users will appreciate our new section of documentation on configuration, which gives more detail on how to customize Community Core for your needs. This month we also made several updates to complement the autocomplete, Python type hints support, and query execution improvements in the newly released Deephaven v0.19.0.
User Guide
Configuration
Our how-to section now features a set of guides for:
- configuring autocomplete
- configuring the production application
- configuring the Docker application
- creating a Deephaven configuration file
These are targeted to users who want to build from scratch or manually configure properties.
Plotting
Pulling real-time data into tables only shows you part of the story when it comes to making valuable insights about your data. Well-designed vizualizations are essential to interpreting your data, and in Deephaven, your plots change in real time as your source data changes. In addition to Deephaven's existing set of convenient plotting tools, you can now create subplots in figures - a set of plots that are displayed together in a single figure. Subplots place plots in different sections of a single figure in a grid fashion rather than on the same axes. Follow along with the examples in our new how-to guide to learn more.
We've also updated our Seaborn examples to include code for table animation.
JJ's latest learning sessions spotlight plotting in real time with our Matplotlib and Seaborn integrations.
Blog
Deephaven provides several powerful tools for data analysis, and our latest blog highlights 24 tips and tricks we think every data scientist should know.
If you have specific content you want to see, reach out on Slack.