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* Use jupyter_client's AsyncKernelManager
* Rename MappingKernelManage to AsyncMappingKernelManage, convert gen.coroutine/yield to async/await, remove run_blocking
* Fix Windows subprocess handle issue
* Restrict Windows to python>=3.7
* Fix GH actions matrix exclusion
* Make AsyncMappingKernelManager a subclass of MappingKernelManager for configuration back-compatibility
* Make AsyncKernelManager an opt-in
* Pin jupyter_core and jupyter_client a bit higher
* Remove async from MappingKernelManager.shutdown_kernel
* Hard-code super() in MappingKernelManager and AsyncMappingKernelManager
* Add argv fixture to enable MappingKernelManager and AsyncMappingKernelManager
* Rewrite ensure_async to not await already awaited coroutines
* Add async shutdown_kernel to AsyncMappingKernelManager, keep MappingKernelManager.shutdown_kernel blocking
* Add restart kwarg to shutdown_kernel
* Add log message when starting (async) kernel manager
* Bump jupyter_client 6.1.1
* Rename super attribute to pinned_superclass
* Prevent using AsyncMappingKernelManager on python<=3.5 (at run-time and in tests)
* Ignore last_activity and execution_state when comparing sessions
* Replace newsession with new_session
* Fix Python version check
* Fix skipping of tests
* GatewayKernelManager inherits from MappingKernelManager to keep python3.5 compatibility
* Added back removal of kernelmanager.AsyncMappingKernelManager
* Don't test absence of AsyncMultiKernelManager
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@@ -26,6 +26,14 @@ To install the latest release locally, make sure you have
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$ pip install jupyter_server
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Jupyter Server currently supports the following Python versions:
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Platform | Python
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--- | ---
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Linux | >=3.5
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OSX | >=3.5
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Windows | >=3.7
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### Versioning and Branches
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If Jupyter Server is a dependency of your project/application, it is important that you pin it to a version that works for your application. Currently, Jupyter Server only has minor and patch versions. Different minor versions likely include API-changes while patch versions do not change API.
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