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Dana Bauer danabauer

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  • 08:51 (UTC -04:00)
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tmpnb

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Launches "temporary" IPython notebook servers.

⚠️ Hardware assumptions ⚠️

  • Reasonably fast IOPS (SSDs, PCIe cards)
  • Enough CPUs and memory for all the users (mem_limit*pool_size < Available RAM)
@danabauer
danabauer / rax-workshop.md
Created January 14, 2015 12:55
Workshop proposal format for rax.io/2015

###Title of workshop A hands-on introduction to Python for beginning programmers

Submitted by Dana Bauer Category Python Core (language, stdlib, etc.) Python Level Novice Audience Beginning programmers wanting to Jumpstart their understanding of Python and programming

@danabauer
danabauer / learning-gis.md
Last active March 17, 2021 14:35
Resources for Learning GIS

##March 26, 2015 ###progress

  • Conferences: proposal for Gluecon
  • Conferences/workshops: met with Everett about OpenStack 101 workshop at QCon
  • Conferences/workshops: practiced Pycon workshop material
  • OSS program: managed billing issues
  • Sponsorships: fielded requests
  • Outreach: worked with Ken to re-imagine outreach roles on the DevEx team

###plans

@danabauer
danabauer / goals-2015.md
Last active March 17, 2021 14:31
Rackspace goals for 2015

##Conference talks/workshops accepted goal: give three conference talks/workshops/posters in 2015

  • Teach Python 101 (lead teacher) workshop at Pycon 2015
  • Teach Python for Data Analysis (TA) workshop at Pycon 2015
  • Teach Cloudpipe (TA/co-teach) workshop at Pycon 2015
  • Keynote at PyData Dallas, April 24-26, 2015
  • Talk at GeoRodeo, May 22
  • Deploying apps on OpenStack at QCon NYC on June 8-9
  • Hack for Humanity at Grace Hopper Conferece (leading an OpenStack team with Egle Sigler), October 2015
@danabauer
danabauer / data-explorer-perioscopic.md
Last active June 13, 2017 08:07
This is an interesting job description that Periscopic posted a few years ago.

Data Explorer role at Periscopic

We are seeking a Data Explorer to join our amazing team. Qualified people will specifically have experience with visually making sense of data. Must be ravenously curious, logical, organized, a good communicator, unafraid of sharing half-baked ideas, and dedicated to good data science practices.

What the heck is a Data Explorer? It’s a person who can wander in the weeds of data and pull out the salient points. It’s a person with equal parts art and science – someone who can think creatively about data in order to distill it, draw out its essence, and communicate it.

This person works closely with our strategic and design teams to iterate on findings and visual concepts. They are on the front-line of each project, using the raw materials to define the shape of the data narrative. This includes data wrangling (gathering, parsing, cleaning, etc.), database design, visual analysis, and presenting findings to the team.

Even though this person is