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The first PyData MCR CODE NIGHT of the year! As usual, GET HELP or GIVE HELP.

Have a data project or some coursework?

Want to get to know your peers?

Come to Code Night! A night to work on your own project, with supportive peers available for advice. Ask for tips from others more experienced than yourself, or teach somebody else something great!

WHAT YOU WILL NEED

A laptop

Slack Access: PyData MCR Slack (tinyurl.com/pydatauk-slack)
Slack Channel: #code_night

A project (optional!, feel free to join us for a chat or to provide others with advice).

HOW IT WILL WORK

Event Starts (18:00) - Come down and join us at the Thoughtworks office for some food and drinks. You'll have an opportunity to share any problems you're working on with other attendees.

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) - After the event we'll all head somewhere local for some post-event socialising.

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

The venue is wheelchair accessible, though please let us know in advance if this is needed.

Drinks will kindly be provided by Thoughtworks, if you have any dietary requirements please supply them when signing up to the event and we can make sure you feel welcome too!

Under 16s welcome with a responsible guardian.

SPONSORS

Thank you to NUMFocus for sponsoring Meetup and further support.

Thank you to Thoughtworks for generously hosting us in their offices.

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 in person.

Events in Manchester, GB
Machine Learning
High Scalability Computing
Big Data
Data Analytics
Statistical Computing

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