Comments (3)
Agreed this would be great to document thoroughly. See also this relevant issue + discussion in rioxarray corteva/rioxarray#253
from xarray-tutorial.
demonstrate relation between chunk size and computation time / number of tasks with a simple example?
- maybe even memory usage
This would be huge! This comes up often in Satpy where users want to process satellite images on their local machine but they only have 8GB or 16GB of memory. If someone can make a good diagram showing chunks being processed by a worker thread/process and how changing the size of all chunks or number of workers contributes to the overall memory usage that would be such a help when explaining this to users.
from xarray-tutorial.
forgot to cc @rybchuk!
from xarray-tutorial.
Related Issues (20)
- Add more options to run interactively on the cloud HOT 20
- Add non-geoscience example datasets HOT 11
- 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
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.