PyDataMCR - Online Code Night - July
Details
ONLINE CODE NIGHT - GET HELP or GIVE HELP
Working on a project? Want to meet other data professionals? Want to help others with their projects?
Join us on our online code night! A night to work on your own project, with supportive peers available for advice or teach somebody else something great!
If you dont have any projects in mind, we will be choosing a data set to do some individual exploration and sharing findings in the slack channel.
WHAT YOU WILL NEED
A laptop or desktop
Slack Access: PyData MCR Slack (tinyurl.com/pydatauk-slack)
Slack Channel: #code_night
And / or gather.town access
No need to sign up to anything, but you can explore the PyData Event lounge with your avatar with areas to socialise, have video chats and whiteboards to collaborate / doodle on.
A project (optional!, feel free to join us for a chat or to provide others with advice). Or join us on for our data set exploration!
HOW IT WILL WORK
Event Starts (18:00) - Come and say Hi in the #code_night channel and/or join us on gather.town, let everyone know what you're working on. The data set for the exploration portion will also be announced.
During Event - Put any questions or conversation topics you want to discuss to the PyData community, its likely someone will be interested and have an opinion!
Event Closes (20:00) - Come back next month to enjoy some more!
EVENT GUIDELINES
PyDataMCR is a strictly professional event, as such professional behaviour is expected.
PyDataMCR is a chapter of PyData, an educational program of NumFOCUS and thus abides by the NumFOCUS Code of Conduct
https://pydata.org/code-of-conduct.html
Please take a moment to familiarise yourself with its contents.
ACCESSIBILITY
Under 16s welcome with a responsible guardian.
SPONSORS
Thank you to NUMFocus for sponsoring Meetup and further support
HOW DO I GET STARTED?
Don't have python?
Download Anaconda (https://anaconda.org/) or use Google Colab (https://colab.research.google.com/)
Don't have a project?
You can always help others in the Slack Channel or join us for our data set exploration
