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PyData April Meetup: Interactive Data Visualization in Jupyter Notebook Using bqplot
April 13, 2017 @ 6:00 pm - 8:00 pm
201 S. Division, Suite 500
Join us for a PyData Ann Arbor Meetup on Thursday, April 13th at 6 PM, hosted by TD Ameritrade and MIDAS.
This month’s meetup will focus on bqplot which is a Python plotting library based on d3.js that offers its functionality directly in the Jupyter Notebook, including selections, interactions, and arbitrary css customization. In bqplot, every element of a chart is an interactive widget that can be bound to a python function, which serves as the callback when an interaction takes place. This allows the user to generate full fledged interactive applications directly in the Notebook with just a few lines of Python code. In the second part of the talk, drawing examples from fields like Data Science and Finance, we show examples of building interactive charts and dashboards using bqplot and the ipywidgets framework.
The talk will also cover bqplot’s interaction with the new JupyterLab IDE and what we plan for the future.
Presenter: Dhruv Madeka is a Quantitative Researcher at Bloomberg LP. His current research interests focus on Machine Learning, Quantitative Finance, Data Visualization and Applied Mathematics. Having graduated from the University of Michigan with a BS in Operations Research and from Boston University with an MS in Mathematical Finance, Dhruv is part of one of the leading research teams in Finance, developing models, software and tools for users to make their data analysis experience richer.
PyData Ann Arbor is a group for amateurs, academics, and professionals currently exploring various data ecosystems. Specifically, we seek to engage with others around analysis, visualization, and management. We are primarily focused on how Python data tools can be used in innovative ways but also maintain a healthy interest in leveraging tools based in other languages such as R, Java/Scala, Rust, and Julia.
PyData Ann Arbor strives to be a welcoming and fully inclusive group and we observe the PyData Code of Conduct. PyData is organized by NumFOCUS.org, a 501(c)3 non-profit in the United States.
“use what you have learned to make something better and share with others”