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.
PyData Detroit 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 is dedicated to providing a harassment-free meeting experience for everyone, regardless of gender, sexual orientation, gender identity and expression, disability, physical appearance, body size, race, or religion. We do not tolerate harassment of meeting participants in any form.
All communication should be appropriate for a professional audience including people of many different backgrounds. Sexual language and imagery is not appropriate for any conference venue, including talks.
Be kind to others. Do not insult or put down other attendees. Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate for PyData. To discuss any issues or concerns relating to the code of conduct or behavior of anyone at the PyData meetup, please contact local group organizers (message us on the meetup page). Please also submit a report of any potential Code of Conduct violation directly to NumFOCUS ( https://numfocus.typeform.com/to/ynjGdT ).
Thank you for helping make this a welcoming, friendly event for all.
PyData is organized by NumFOCUS.org, a 501(c)3 non-profit in the United States.
We will be having 2 20 minute lightning talks for this event.
Feng Liu - Stochastic gradient descent explained for everyone.
A detailed explanation of stochastic gradient descent in the application of linear regression, MLP and ConvNets. Shown in different perspectives making it easier to understand.
Frank Cash - Creating an ETL pipeline with Apache Airflow
Join us for the kick off event of PyData Detroit. We are still working on establishing a speaker & content but it will be kicked off at Detroit Meets Night of Meetups on March 27th.
We are bringing together 3 awesome meetups for a night of meetups! There will be a bar, great food and great content all free!
We will be kicking off PyData Detroit!
We will be hosting How To Start a Startup
And Detroit Kubernetes.
6-6:30pm - Networking / Social Time
6:30 - 7pm - Words from our sponsors and community info
7pm - 8pm - Meetups
8pm - 9pm - Cleanup / Networking
Please also RSVP via eventbrite so we know you are coming! https://goo.gl/SdRh6i