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Xenomorph Adds Python to TimeScape

New integration of open source scripting language for data management platform.

NEW YORK, LONDON, and SINGAPORE – November 4, 2014.

Xenomorph, the analytics and data management solutions provider to global financial institutions, announced today that it has integrated Python scripting language into the TimeScape solution.

Python has been rapidly growing in popularity as a programming language in financial markets, due to its inherent maintainability, conciseness, portability and its integration with other programming languages such as C and C++. In addition to the extensive numerical and financial libraries available for Python programming, developers are able to quickly iterate new ideas and shorten development cycles through this scripting language. The integration of Python provides developers with access to validated gold copy data, real-time data and analytics managed in TimeScape, opening out data management into the fields of decision support and data analysis across front, middle and back office.

“Python is a powerful scripting language that is used by a number of Xenomorph’s clients in back testing trading ideas and the prototyping of analytics. We are very excited to offer this new way in which gold copy data validated in TimeScape can be accessed in Python,” said Naj Alavi, Managing Director, Xenomorph Americas. “Quants, risk managers, IT and operations staff all have their preferred ways and environments for working with data and our aim is to open up the benefits of data management to all users and departments, encouraging greater data transparency, higher data quality and lower costs in data use and re-use.”

The integration of Python builds upon Xenomorph’s recent initiatives in data management with the TimeScape Data Validation Dashboard, and combines gold copy data creation with the analytics and BI capabilities of TimeScape’s connections to R, Matlab, Aqumin’s AlphaVision and Microsoft’s Power BI. TimeScape’s connectivity to Excel, its SpreadSheet Inside technology and these latest interface initiatives continue Xenomorph’s approach to maximizing the benefits of data management throughout the enterprise.

Notes to editors

About Xenomorph

Xenomorph delivers analytics and data management (ADM) solutions to the financial markets. Our TimeScape technology enables our clients to manage and analyse more data with greater control and transparency. Through unified and transparent access to data and data analysis, our clients achieve even higher levels of financial innovation, business process efficiency and regulatory compliance.

Trading, research, risk, product control, IT and back-office staff use Xenomorph’s TimeScape cross-asset data management platform at investment banks, brokerages, insurers, hedge funds and asset management companies worldwide. Established in 1995, Xenomorph has offices in London, New York and Singapore.

For more information on Xenomorph, our clients, services and solutions, please see www.xenomorph.com.

Xenomorph® and TimeScape™ are registered trademarks of Xenomorph Software Limited. Other product and company names herein may be trademarks of their respective owners.

About Python

As a rapidly growing programming language, Python is Open Source, cross-platform and easy to use. An elegant, highly readable language, Python’s strength is object-oriented scripting. It is used for cutting-edge applications by leading technology and research institutions such as: Carnegie Mellon University, Lawrence Livermore National Laboratory, Los Alamos National Laboratory, and NASA. Hundreds of thousands of programmers are using Python around the world today, and the number is growing steadily. More information is available at www.python.org.

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https://www.xenomorph.com/wp-content/uploads/2019/07/logo-xeno.png 0 0 Matt Pick https://www.xenomorph.com/wp-content/uploads/2019/07/logo-xeno.png Matt Pick2014-11-04 10:00:592019-07-03 10:46:23Xenomorph Adds Python to TimeScape

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Xenomorph provides trusted data management solutions to many of the world’s leading financial institutions.

With more than two decades’ experience managing large volumes of complex data and analytics we can quickly configure a solution for your requirements.

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