How do you find a stock photo that conveys rescuing your Docker images, or applying data science to baseball, or real-time data forecasting? With great difficulty, and perhaps with awkward results. We decided to give DALL-E a try, putting in our own prompts to create AI-generated images that would creatively illustrate the tech concepts discussed in our blog. You'll see the end results as you browse our latest posts!
Aside from the full makeover, read on for this month's documentation highlights.
- Stacy annnounces a new feature - real-time tables in your Jupyter notebooks. Finally, you can see and interact with dynamic data in Jupyter using the Deephaven widget.
- JJ writes about inspecting your data in two posts: he shares his favorite Pandas DataFrame viewer and shows you how to find gremlins in your data, and provides [two easy steps to inspect any Parquet file]/blog/2022/08/12/inspect-parquet/).
- Jeremiah continues his series of AI posts with easy TensorFlow predictions using GPUs.
We know users want answers fast, so we designed a new "ultimate" cheet sheat that makes it easy to simply cut-and-paste important code snippets to get off and running quickly.
Deephaven Core now supports tree map plotting. Learn more with our how-to guide.
Check out the first of our new Deephaven shorts, which feature tips and tricks for using Deephaven or Python programming more generally. Have a feature or topic you'd like to see? Let us know on Slack.
Also check out the interns final presentations, such as Stacy's dev-rel talk on applying machine learning to real-time Slack messages: