Tech at Bloomberg
Bloomberg technology drives the world’s financial markets. Over 4,000 technologists define, architect, build and deploy complete systems to fulfill the needs of leading financial market participants globally.
Features from the Blog
Data Science
How Bloomberg is Advancing C++ at Scale
John Lakos manages the Bloomberg Development Environment group, which offers a set of C++ software libraries, development tools, and methodology to well over a thousand Bloomberg developers. In this conversation, Lakos discusses the importance of instilling process and discipline in all software development projects.
Data Science
Geolocation for Twitter: Timing Matters
Mark Dredze, Miles Osborne, and Prabhanjan ‘Anju’ Kambadur recently published a paper titled Geolocation for Twitter: Timing Matters at the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), one of the premier conferences on natural language processing. Their paper documents the exploration they’ve done into determining how time and place relate to each other in the Twitter stream.
Open Source
Inside the Collaboration That Built the Open Source JupyterLab Project
Today at SciPy 2016, Bloomberg joined Continuum Analytics and Project Jupyter to reveal the new JupyterLab platform so that early adopters can help test the alpha release. JupyterLab creates a more desktop-like experience on the Web, rivaling expensive software suites that allow programmers to use familiar tricks like keyboard shortcuts, tabs and configurable editor layouts.
Open Source
Bloomberg Female Engineers Commit to Open Source
Increasing participation and diversity in open source software projects is critical to yielding unique and innovative solutions says Bloomberg Regional Engineering Manager, Christine Flounders. This is driving the company to sponsor this year’s WISE International Open Source Award to recognize female contributors of open source projects.
Data Science
Mining Data for the Public Good #D4GX
On September 25, 2016, Bloomberg’s third annual Data for Good Exchange aims to advance the promising field by focusing on the theme of “better governance.” Papers presented at the Exchange will address ways that data science can be applied to solve public interest problems in areas such as justice and fairness, economic development, security and safety and public service delivery.