What we're about

PyData Chicago is a monthly meetup to discuss all things python (https://www.python.org/) and data! Our meetup is currently virtual, hosted on Zoom. We usually meet on the last Thursday of the month.

All meetups are recorded and posted on PyData's YouTube channel (https://www.youtube.com/user/PyDataTV/) 1 week after the event -- unless the speaker does not want to be recorded. Presentation decks, code and other artifacts from the meeting are also shared with all attendees subscribed to the Meetup event 1 week after the event -- with the permission of the speaker.

The PyData Code of Conduct (http://pydata.org/code-of-conduct.html) governs this Meetup. To discuss any issues or concerns relating to the code of conduct or the behavior of anyone at a PyData meetup, please contact co-organizer Rebecca BurWei via Meetup's message feature.

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

Upcoming events (1)

Developing Maintainable Data Pipelines With Jupyter and Ploomber


Jupyter is a prevalent tool among data scientists due to its flexibility, allowing users to interleave code, text, and images. However, writing notebooks that follow software engineering best practices is notoriously difficult: reproducibility, version control, modularization, and collaboration are all challenging to achieve when working with notebooks. Ploomber is an open-source library that allows users to adhere to software best practices while keeping the power of Jupyter.

GitHub: https://github.com/ploomber/ploomber


Eduardo is interested in developing tools to deliver reliable data products. Towards that end, he created Ploomber, an open-source Python library to compose production-ready data workflows. Eduardo holds an M.S in Data Science from Columbia University, where he took part in Computational Neuroscience research. Eduardo started his Data Science career in 2015 at the Center for Data Science and Public Policy at The University of Chicago.


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