Levyx and Neueda Partner to Bring Python Into the Modern, Big Data Era

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A new press release states, “Levyx Inc., a leading provider of ultra-low latency data processing software that brings high performance to demanding enterprise applications, announced today its partnership with Neueda, the leading-edge data management specialist, to deliver key enterprise enhancements to the Python community.  By adding these critical features through the Helium™–Python interface, the parties have increased Python’s utility and applicability in use cases that are expanding in number and volume.”

The release continues, “Today’s Python implementations are hampered by the difficulty of handling increasingly large data sets inside current in-memory objects, thereby limiting the language’s utility in quickly modernizing and scaling financial trading environments. To address these and other limitations, Levyx and Neueda have worked together to connect Levyx’s Helium data store into Python. The result is a new dictionary object that can extend to many Terabytes on a single server. By re-using the native Python dictionary interface, financial quants can manipulate, store and access datasets (for example, tick data and order data) that are an order of magnitude larger than what is currently feasible, using a familiar interface. This is important since ‘Pythonistas’ typically process their data on an end-user workstation and the Helium-Python interface eliminates the tedious process most quants go through of breaking up their financial data sets into manageable sizes.”

Brendan Monaghan, CEO of Neueda, said: “Levyx’s technology is playing an important role in transforming conventional data processing in financial markets. We are excited to bring the power of the Helium™ data store to Python, allowing our customers across the globe to handle larger data volumes than ever before within their applications. We are delighted to be able to add this to our growing suite of products for the electronic trading community through https://blu-corner.io.”

Read more at Globe Newswire.

Image used under license from Shutterstock.com

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