Capital Markets technology specialist Neueda has partnered with Levyx Inc, a leading big data system software provider, to vastly increase data processing capacity for the Python community.
Through the new Helium™–Python interface, Neueda and Levyx have significantly increased Python’s utility, offering increased efficiency and effectiveness to users within financial markets and beyond. The product has been released by Neueda for use via https://github.com/blu-corner – the home of all Neueda’s Open Source software.
Colin Pattison, MD Capital Markets, Neueda, said: “We are delighted to have worked with Levyx to create a solution that will open up new opportunities within the data science field.
Historically, Python implementations have involved handling large data sets inside current in-memory objects, which limits the language’s utility, particularly within the fast moving Fintech space. In fact, Fintech Python users regularly spend large amounts of time breaking up financial data sets into manageable sizes.
“We are delighted to have worked with Levyx to create a solution that will open up new opportunities within the data science field.”
We have connected Levyx’s Helium data store into Python to create a new dictionary object that can extend to many Terabytes on a single server. Users can therefore handle larger data volumes than ever before within their applications.”
Reza Sadri, CEO of Levyx, added: “We are pleased to work with Neueda on upgrading Python with an important new feature set, which enhances its enterprise-worthiness for Fintech users. Neueda’s customer platform is an excellent way to leverage these advances.”
In addition to accommodating larger data sets, the Helium–Python interface is useful for concurrency. Since different Python programs typically need to signal to each other that they are accessing a certain key or key range, this new implementation allows multiple Python programs to access the same dictionary.