Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Coordinate with Stats Computing Facility (+ D-Lab) on upcoming R + SQL workshop #1

Open
davclark opened this issue Oct 17, 2014 · 5 comments

Comments

@davclark
Copy link
Contributor

For the last stats R intensive, D-Lab and Stats divided the labor, and participation was opened up beyond Stats. @jonstiles suggested that the organizer, bensaheli should talk to me (@davclark) – and possibly @katyhuff and Harrison Dekker re. SQL. More on this soon.

@davclark
Copy link
Contributor Author

@paciorek is a lead on R instruction in Stats. Chris, can you put Ben on this issue? I also don't have harrison's username.

Also, @katyhuff can provide pointers to SQL materials from the hacker within / software+data carpentry in python, and she will likely lead an overview using these and some PyTables / HDF5 stuff at the Python Work Party on Nov 21. It'd be good to explain how folks could easily apply their SQL-fu in a python or R context, though perhaps not for this specific workshop.

@paciorek
Copy link

I don't know that Ben has a Github account or is in that workflow mode - we
could ask him, but not sure whether Github is the model we want to use for
coordination here. If Harrison does lead, I guess it would be up to him
and Ben...

Also, the workshop doesn't have to be R+SQL; could be purely focused on
SQL.

On Fri, Oct 17, 2014 at 1:16 PM, Dav Clark [email protected] wrote:

@paciorek https://github.com/paciorek is a lead on R instruction in
Stats. Chris, can you put Ben on this issue? I also don't have harrison's
username.

Also, @katyhuff https://github.com/katyhuff can provide pointers to SQL
materials from the hacker within / software+data carpentry in python, and
she will likely lead an overview using these and some PyTables / HDF5 stuff
at the Python Work Party http://python.berkeley.edu on Nov 21. It'd be
good to explain how folks could easily apply their SQL-fu in a python or R
context, though perhaps not for this specific workshop.


Reply to this email directly or view it on GitHub
#1 (comment).

@davclark
Copy link
Contributor Author

Harrison is @VagrantScholar. We don't need to coordinate the workshop here, but this is a good place to mobilize the software / data carpentry expertise if you want input.

@paciorek
Copy link

Fair enough. Maybe we can wait for the conversations with Ben to get a bit
further in terms of having logistics (instructors, dates, basic content
desired) in place and then mobilize here as you say.

On Fri, Oct 17, 2014 at 4:56 PM, Dav Clark [email protected] wrote:

Harrison is @VagrantScholar https://github.com/vagrantscholar. We don't
need to coordinate the workshop here, but this is a good place to mobilize
the software / data carpentry expertise if you want input.


Reply to this email directly or view it on GitHub
#1 (comment).

@bensaheli
Copy link

Hi Dav,

Sorry for the delay; I had to shift my focus due to unforeseen events last week, but I"m back and ready to rumble. Harrison has agreed to do the SQL bootcamp. I'm in touch with the MA Committee of the Statistics Department to get specifics on desired content and length of the camps. I'll be in touch soon with updates. Thanks Chris and Dav for helping with the coordination, I appreciate it.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants