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The official Jupyter Conference
August 22-23, 2017: Training
August 23-25, 2017: Tutorials & Conference
New York, NY

Industry and open source: Working together to drive advancements in Jupyter for quants and data scientists

Srinivas Kumar Sunkara (Bloomberg LP), Cheryl Quah (Bloomberg LP)
5:00pm–5:40pm Thursday, August 24, 2017
Usage and application
 Location: Nassau Level: Intermediate

Who is this presentation for?

  • Software engineers, data scientists, and quantitative financial researchers

What you'll learn

  • Gain a high-level understanding of important recent developments in Jupyter, including JupyterLab, ipywidgets 6.0, and bqplot
  • Understand how a quantitative financial researcher or data scientist might use the above tools and new features
  • Explore an example of successful collaboration between the open source community and industry to drive advancements in Jupyter

Description

Quantitative research is rapidly expanding within the financial investment industry, and with it has come an increasing interest in and adoption of Jupyter notebooks. Bloomberg, a financial services provider, has partnered closely with the Jupyter community to develop JupyterLab and bqplot and has also made significant advancements in ipywidgets, all of which have greatly enriched the workflows of quantitative financial researchers and other data scientists. 

Srinivas Sunkara and Cheryl Quah offer an overview of the modularity and extensibility of JupyterLab’s interface, the interactive visualizations provided by bqplot, and recent changes to ipywidgets to enable rendering of interactive widgets outside of notebooks. Srinivas and Cheryl illustrate how these projects create a rich environment for data analysis and financial research and discuss the dynamics of this successful collaboration between the open source community and an industry partner in driving advancements to Jupyter.

Photo of Srinivas Kumar Sunkara

Srinivas Kumar Sunkara

Bloomberg LP

Srinivas Sunkara is a quant on the Quantitative Financial Research team at Bloomberg LP, where he works on developing financial models that apply machine learning techniques to various problems in finance. Srinivas is one of the main developers of bqplot, a Jupyter Notebook–based interactive plotting library, and contributes to other open source projects, including ipywidgets and traitlets.

Photo of Cheryl Quah

Cheryl Quah

Bloomberg LP

Cheryl Quah is a senior software engineer at Bloomberg LP, where she develops applications to improve financial professionals’ research and investment workflows.