Comments (9)
I think we should do this!
Sounds good to me! Small instances should be fine. @lsetiawan would you be willing to fill out the form and be the point of contact for this?
from xarray-tutorial.
Pasting the email about Nebari for the SciPy tutorial.
I think we should do this!
We are emailing SciPy presenters to share an offer from Quansight to provide a hosted platform (JupyterHub, via Nebari) to run your tutorial.
Your workflow, and all participants' workflow, will involve: - Registering on the platform [1] (with any email and password), - Selecting a suitable machine [2] (i.e., adequate compute and storage for your tutorial), - Cloning the tutorial (git) repository in the JupyterLab interface that opens by default, - Teach your tutorial :)
As the presenter, you will have one extra step before the tutorial: create a suitable environment for your tutorial. If you have an environment.yml or requirements.txt file, this is a quick step which will take ~5 mins at most, and the Quansight team will assist you with this.
The platform (Nebari) has Dask integrated, and the capability to share files and dashboards within the platform. You can consider using this as an alternative to Binder, which currently has reduced capacity and funding. The Quansight team will be at SciPy in-person and will set up a dedicated Slack channel for support during the tutorial sessions.
If you're interested, please fill out this Google Form: https://forms.gle/recAwR1DaSau2Gsu6 by 25th June, and the Quansight team will reach out to share more information and schedule a live demo session to onboard you to the platform. If you have any questions, please contact Dharhas Pothina ([email protected]) or Pavithra Eswaramoorthy ([email protected]).
[1] Quansight won't collect or store your email on registering, you can also register with a fake email. [2] They will offer two types of machines for everyone: Small (2 CPUs, 8 GB RAM), Medium (4 CPUs, 16 GB RAM). If you need larger instances or a GPU instance, let them know in the Google Form and they will include it.
from xarray-tutorial.
The rep from quansight will try to deploy it from the repo. I'm currently on vacation. I'll ping her again tomorrow.
Hi Don,
I hope you have a nice vacation!
The onboarding meeting diverged off-topic, so I'll share a fresh set of instructions in a day or two. I'll also test the xarray tutorial on Nebari and let you know (or maybe open issues/PRs against the repo) if we need anything from you. :)
from xarray-tutorial.
I can write about broadcasting, aligning, etc in these notebooks.
Sorry for being unclear. We can skip that for now. We already have material on alignment and broadcasting here
from xarray-tutorial.
from xarray-tutorial.
I think we should do this!
I think this is great that they're offering Nebari! Yes. I totally agree that we should do this 😄 I've used Nebari in the past, and I think it's cool that they're willing to host for tutorial.
from xarray-tutorial.
@andersy005 @negin513 @TomNicholas can we get a quick update here please?
I think at this point, we could just plan to use the existing material as-is to reduce stress. There's definitely plenty of content!
from xarray-tutorial.
@lsetiawan do you have any more info on the nebari deployment? I don't see any info on the scipy tutorial website so far
from xarray-tutorial.
Hello @dcherian ,
I created a PR for the indexing notebooks. #192
Regarding the last task under Indexing in the list above :
- Indexing (docs reference, @negin513 @andersy005 )
- Existing material
- Basic Indexing
- Advanced and Vectorized Indexing
- Boolean Indexing and
isin
, and masking- Fancy Datetime Indexing
- Address #94
I can write about broadcasting, aligning, etc in these notebooks. But was not sure if it fit nicely under indexing section. Do you envision having these under advanced indexing? Does it fit the advanced indexing or the computation section better?
Here is the notebook for reference:
https://tutorial.xarray.dev/workshops/online-tutorial-series/03_computation.html
from xarray-tutorial.
Related Issues (20)
- Add CONTRIBUTING.md to website
- add rough logo
- Add general codespaces setup to README.md HOT 4
- Cartopy plot not rendering HOT 4
- Add sphinx-sitemap
- Review indexing material HOT 1
- A few points for improving the indexing notebooks HOT 3
- Tutorial on custom indexes
- Missing examples for the map and map_dataarray methods of FacetGrid objects
- Link needed for "Working with labeled data" tutorial HOT 2
- Remote access patterns using xarray. HOT 8
- Update to JupyterBook 1.0 HOT 1
- Update deprecated scipy.integrate.trapz to trapezoid
- Set navigation_with_keys=False explicitly
- Periodically check for broken links
- Generate website preview link even if build fails on PRs HOT 1
- Xarray tutorial with custom SSL cert? HOT 3
- Binder environment solve failing HOT 2
- Surge.sh website preview workflow failing but does not raise error HOT 4
- Dependabot and precommit-bot do not get along
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from xarray-tutorial.