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Support for Python 3.3 and 3.4 dropped (upstream packages dropped support already)
Notes about installation or upgrade (if any)
The largest changes in 5.3.0 are the removal of older python 3 version support and the thread / process safe improvements to jupyter client. The latter change involved changing the zmq context objects to not be shared globally. The impact of this is that there will be a couple more C++ io threads running to handle messages along with some minor memory overhead. Overall these costs should be low compared to other adjacent costs and gives a much safer execution pattern. A big thanks to @alexrudy for digging in and finding the root problem here during PyCon's code sprint!
The text was updated successfully, but these errors were encountered:
Thanks @MSeal for editing the issue. This looks perfect.
Sorry for not tackling this earlier. We were in the rush to upgrade all possible extensions to JupyterLab 1.0 before Scipy - and a trip to the UK in the beginning of the week.
Going under the assumption (based on early messages back on #452), we should start a changelog entry for the docs.
Edit this message with bullets.
New
Changed
Removed
Notes about installation or upgrade (if any)
The largest changes in 5.3.0 are the removal of older python 3 version support and the thread / process safe improvements to jupyter client. The latter change involved changing the zmq context objects to not be shared globally. The impact of this is that there will be a couple more C++ io threads running to handle messages along with some minor memory overhead. Overall these costs should be low compared to other adjacent costs and gives a much safer execution pattern. A big thanks to @alexrudy for digging in and finding the root problem here during PyCon's code sprint!
The text was updated successfully, but these errors were encountered: