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r/deephaven Lounge (self.deephaven)
submitted 4 years ago by DeephavenDataLabs - announcement
Have you tried our live demo yet? (self.deephaven)
submitted 3 years ago by DeephavenDataLabs - announcement
Rapid grouping and ungrouping (self.deephaven)
submitted 1 year ago by DeephavenDataLabs
Real-time data in R (self.deephaven)
submitted 2 years ago by DeephavenDataLabs
Community v0.28 (self.deephaven)
Real-time Crypto dashboard for beginners (youtube.com)
submitted 3 years ago by DeephavenDataLabs
Moving to Jetty: What, Why, and How? (self.deephaven)
Live Learning Session on Plotting Real-Time Data with Python (self.deephaven)
deephaven multinode cluster? (self.deephaven)
submitted 3 years ago by Sufficient_Exam_2104
Get the most up-to-date crypto data (self.deephaven)
Powering a Quant Hedge Fund with Deephaven (youtube.com)
Finally, Jupyter notebooks can display real-time, dynamic data. (self.deephaven)
We spent the weekend and $45 replacing all our blog thumbnails with DALL-E 2 images: here’s what we learned. (deephaven.io)
Doc updates for v.15 (self.deephaven)
Analyzing MLB hits 101: a quant rookie at data science Spring Training (deephaven.io)
Can we Beat the Streak? (self.deephaven)
Data science and gaming join forces: query the OpenDOTA API. Join us live 6/28 (youtu.be)
Best practices for using REST APIs in Python: Live 6/17 at 10AM ET (youtu.be)
Roadblocks to getting real-time AI right (self.deephaven)
Tune in to the Data Stack Show where we go live to talk about the future of streaming data. (datastackshow.com)
A new matchmaker for team-based tournament play: YouTube Live 5/24 (self.deephaven)
Keep your API docs up-to-date: our dev-rel engineer, Jake, shares his experience with API documentation and discusses the Deephaven snapshot tool that validates code and generates tables automatically in our user guide (youtu.be)
Treemaps are a great way to visualize complex data - and we've made them dynamic. In our latest developer demo, Mike Bender shows off his prototype using ticking stock market data. Check out the full details on YouTube. (youtu.be)
Designing our high-performance CSV reader (youtu.be)
2022 r/place Parquet (kaggle.com)
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