Become a reviewer for pyOpenSci!
Thank you for your interest in getting involved with pyOpenSci! Please use the form below to add your name and background information.  Please note that all of the fields below are optional.
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Email
Email correspondence will be limited to review invitations. We also will invite you to update your contact information once a year. Finally we may also periodically check in with you to understand how the review process went for you.
GitHub username.
You'll need one when reviewing because our process takes place on GitHub. It takes one minute to register for GitHub. And it's free! https://github.com/
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Would you be more at ease with reviewing if you were mentored?
The editor can point you to beginner-friendly resources in areas you feel less at ease in (e.g. continuous integration), proof-read your review if you prefer that, and of course answer any question you may have while reviewing. We can also match you with someone who has reviewed previously for support
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What OS can you test package usability on: *
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Have you contributed to any Python packages before?
 
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Please select any of the areas below that describe your domain expertise
We will use this to match your expertise with a package that we receive that requires a review. 
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Are you affiliated with / have expertise associated with any of our partner communities?

This is optional. We have several community partnerships. If you are involved in any of those communities please check the box below. If not, you can skip this question or check (no) :). 
Describe your area of work in a few words
E.g. Remote sensing of the environment, bird conservation monitoring, protein structure modeling, software anthropology, developer advocacy, biostatistics, industry data science.
OPTIONAL: Do you identify with a group that has been traditionally underrepresented in the Science / Data Science space?
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What country do you live in?
What state or provence are you in?
Please list any python packages that you have contributed to in the space below.
If you have contributed, please list below which ones. Like this: moving pandas, pandera, devicely
If you haven't contributed before, no worries! Just skip this question! 
Select any of the technical areas below that you would be comfortable commenting on in a package review.
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