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Upcoming events (2)
The PyData Global Online Conference is where users, contributors, and newcomers can share experiences to learn from one another and grow together. PyData provides a virtual 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.
This three-day online event consists of talks, tutorials, and discussions to bring attendees the latest project features along with cutting-edge use cases.
The time span of the conference stretches beyond any single time zone, reflecting the global nature of our community. To accommodate our attendees, each session will be recorded and made available to attendees the following day. Following the Conference, all recordings will be posted to the PyData YouTube channel.
Welcome to the next virtual event from PyData Edinburgh!
As always, this will last an hour, and we'll have a main talk plus a Q&A session at the end. The session starts at 18:30, use the Zoom link which will be provided in the registration email once you RSVP.
As always, let us know if you would like to give a talk in the future, whether a main or a lightning one, we're always looking out for speakers (as you know!). We've got some more volunteers for lightning talk, so if we get a couple more we'll be able to run an evening with just lightning talks, which would be great.
MAIN TALK: Automated Exploratory Data Analysis of Databases
Diego will present some of the challenges of exploratory data analysis in data science and data engineering projects and how to approach them. He will show how to use the AEDA Python library (https://github.com/darenasc/aeda) developed by himself that helps with the exploration of new data sets from databases. The takeaways from the talk are: ideas and techniques to use for data exploration, how to use an automated solution to explore the content of databases and how to create a data catalogue, and also some recommendations of Python libraries for data exploration.
My links are:
- Personal webpage with a list of projects and talks: https://darenasc.github.io
- LinkedIn: https://www.linkedin.com/in/darenasc/
- Twitter: https://twitter.com/darenasc
- Calendly: https://calendly.com/darenasc/
Diego Arenas is a computer scientist with an MSc in Data Science from the University of Edinburgh. He is currently finishing his Engineering Doctorate in Computer Science at the University of St Andrews. He has more than 15 years of experience working on data science and data engineering projects for multiple industries.
1825: Zoom Waiting room will open
1830: Meetup will start - welcome & community announcements followed by our main speaker, and then Q&A
We'll aim to be finished by 1930
Please remember the Code of Conduct applies to a remote meeting as well.
When you join the meeting, your microphone will be muted, and your camera switched on, we miss you all, it's nice to see you! Once the talk starts, feel free to switch your camera off.
We'll use the chat channel in Zoom to deal with any issues, and we'll advise on how we will run the Q&A at the start of the session.
While we might not be making such full use of our sponsors as we normally do, we still appreciate all they do for us to allow us to run this group - so thanks to Cathcart Associates, Wood Mackenzie, Solarwinds, Lloyds Banking, Canon Medical and Effini.
CODE OF CONDUCT
Though virtual, our Code of Conduct still applies to all attendees, organisers and speakers. Please take the time to read through if you haven't before, we really appreciate your help to maintain a welcoming and friendly PyData community.
The PyData Code of Conduct (https://pydata.org/code-of-conduct/) 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 the local group organizers (message us on the meetup page). Please also submit a report of any potential Code of Conduct violation directly to NumFOCUS using the link found at https://numfocus.org/code-of-conduct.