[ONLINE] PyMC Open Source Pre-series Office Hours

To join the event, please do the following:

1. Read through the WEBSITE: https://pymc-data-umbrella.xyz/en/latest/

2. Complete this sign-up FORM. It will take 5-10 minutes to complete. You must complete this form to receive event updates:
https://tinyurl.com/du-pymc-os-ws

3. You can add the events to your personal CALENDAR: https://pymc-data-umbrella.xyz/en/latest/2022-07_sprint/schedule.html#schedule

4. Join Data Umbrella Discord: https://discord.gg/cvNEkpC4Fx

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About
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Data Umbrella and PyMC are organizing a series of open source working sessions:

• it is online, and will be on Discord
• it is free
• it is beginner-friendly

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Registration Form
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Estimated time to complete form: 5-10 minutes

1. All attendees must complete this registration form to join the open source events.
2. Once you complete this sign-up form, you will be added to the working session event mailing list and receive updates.
3. We will use the GitHub and Discord names to set up pair programming teams.

Registration Form Deadline: rolling basis, or when we run out of space. We encourage you to sign up sooner rather than later.

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Joining the Event
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These events are focused on increasing the participation of underrepresented persons in open source and returning contributors.
We welcome allies to join who:
(a) Contribute to creating a space that welcomes underrepresented persons. Example: Give women and other underrepresented persons a chance to speak.
(b) Who use inclusive language. Example: folks, you'll , everyone (Do not use: "guys")
(c) Who agree to follow our Code of Conduct.

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EVENT WEBSITE
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See the event website for full details:
• Full event website
• Event logistics
• Organizer information
• Preparation work
• GitHub event repo

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REQUIREMENTS
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1. Follow the Code of Conduct and contribute to creating a professional, welcoming and inclusive environment. (https://www.dataumbrella.org/about/code-of-conduct)
2. Must have a GitHub account.
3. PREREQS: Any of these skills will be helpful to have:
GitHub, Git, Markdown, Sphinx
Python, statistics, Bayesian, machine learning

For newcomers: we have options to watch our PyMCon 2020 videos and add video descriptions and timestamps. There are various ways to contribute!

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CONTACT
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For our past event videos, subscribe to our YouTube: https://www.youtube.com/c/dataumbrella