An infinite number of machine monkeys paint an infinite number of blog thumbnails — By Don McKenzie Blog posts with images get 2.3x more engagement. Here’s the problem — we make a query engine for streaming tables. How the heck are you supposed to pick images for technical topics like comparing the similarities between Deephaven and Materalize, viewing pandas DataFrames, gRPC tooling for getting…

Eyeballs help when cleaning data — By JJ Brosnan Deephaven is well-known for its query engine and table API. But it’s so much more than just those two things. It’s also a fantastic Python IDE and tabular data visualization platform. If you develop Python applications that use pandas DataFrames, you should use Deephaven to create them…

By Pete Goddard Data is dynamic. This is self-evident. Here’s what’s strange, though: nearly all data systems are not principled on the concept of data changing. Every frame of the movie is a new picture. Data engines operate on and transact in data sets, not changes in data sets. Deltas…

New, simpler query strings — By JJ Brosnan Deephaven’s v0.19 release rolled out some awesome features, particularly for Python programmers — table slicing, autocomplete, and others. For me, support for type hints in tables is an unsung hero. I’ve always had so many explicit typecasts in my table operations. Now I can reduce how many…

Tricks for tables every data scientist should know — By JJ Brosnan Deephaven is the data backbone that powers hedge funds, banks, exchanges, and more. How do Deephaven experts leverage its power? I’ll show how through 23 examples of simple operations used regularly by some of the world’s top data experts. …

Deephaven’s URI package makes sharing tables easy — By Jeremiah Cheng and JJ Brosnan Last week, Deephaven announced its URI package. A URI is a sequence of characters that identifies a resource on the web. Think of a URI as a generalization of a URL. A Deephaven URI identifies a table. …

Brought to you by Deephaven’s update_by — By Chip Kent Without a doubt, the most requested Deephaven feature has been more powerful moving averages. In version 0.15.0, Deephaven improved aggregations through update_by. Now, you can compute exponential moving averages (EMAs) that are more efficient and properly update when values in the middle of your table change. Let’s…

Use a scatter plot overlay to create real-time chart markers — By Chip Kent On Deephaven Community Slack, we frequently get interesting questions from users. Recently, a user asked us how to draw markers on a chart. In his case, he wanted to plot financial predictions with markers when his automated trading system bought or sold a stock or option. Drawing…

By Chip Kent Many of the world’s largest and most profitable hedge funds, such as Renaissance Technologies, Virtu, Citadel, Two Sigma, Tower Research, and Jump Trading, use algorithms to determine when to buy and sell stocks, futures, bonds, options, and other securities. …