napari
data-science-ipython-notebooks
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| napari | data-science-ipython-notebooks | |
|---|---|---|
| 3 | 1 | |
| 2,053 | 26,459 | |
| 2.2% | - | |
| 9.7 | 0.0 | |
| 5 days ago | about 1 month ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
napari
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Introspect type hints Pythonically in O(1) time.
Much thanks to @tlambert03 – who also authors Napari, a fast multidimensional image viewer in Python you might also enjoy.
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`nme` - package to simplify data persistence when upgrading data structures
I would like to share my python package nme. This package is for simplifying loading data from the older versions of code. It was initially created for napari plugins for improving science reproducibility, but I think that it may be useful for other projects.
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AUR python package and /usr/lib/python write permissions
It's napari. Those "assets" are some qt-recourses that need to be compiled from svg. I don't know the details on how this works. I wanted to understand if this is something I should try to solve with my PKGBUILD, before opening a PR and going down the rabbithole :)
data-science-ipython-notebooks
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Beginner in Python for Data Science
data science ipython notebooks
What are some alternatives?
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