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

Inviting additional case studies? #130

Open
rwest opened this issue Dec 9, 2018 · 3 comments
Open

Inviting additional case studies? #130

rwest opened this issue Dec 9, 2018 · 3 comments

Comments

@rwest
Copy link
Member

rwest commented Dec 9, 2018

I stumbled across this thread on Twitter
https://twitter.com/jqfonseca/status/1071015453781299200?s=21
And wondered about inviting the author to add a small case study to the book? Good just be the Twitter thread unrolled into chapter seven, or we could invite him to expand on it. Do we have, need, or want a policy about inviting extra contributors/authors?

@labarba
Copy link
Member

labarba commented Dec 11, 2018

These types of case-study mentions are supposed to go into Chapter 7. At some point, the guidance for chapter 7 got deleted from the Google doc. I went into the history of the file to retrieve it. This was the plan:

  1. Large-scale adoption:
  • “The course of the future” in Berkeley and Data8.
  • The Canadian federated JupyterHub, serving millions of users in dozens of institutions.
  1. Course authors sharing full set of material, for example:
  • Allen Downey’s books.
  • Lorena’s courses (CFD Python, AeroPython, NumericalMOOC), others…
  1. Short courses and tutorials at conferences:
  • SciPy, PyData, Pycon tutorials, with examples.
  1. Outreach Materials
  • Kyle Mandli’s “Hurricane Investigation”
  1. Book authoring
  2. MOOCs

@mandli
Copy link
Collaborator

mandli commented Dec 11, 2018

I invited @ketch, @rjleveque and @maojrs to contribute something on their book for which I believe they will issue a PR for soon.

@labarba
Copy link
Member

labarba commented Dec 11, 2018

In these case studies, we want to cover things like:

  • the motivation of the authors/developers
  • the context (course, topic, level, institution if applicable)
  • any technology or tools used in conjunction with Jupyter (to publish, to grade, to distribute to students, to present live, etc.)
  • the experiences; if used in a live course, or in a tutorial, how did it go
  • lessons learned, gotchas, pro tips

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