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IPython Kernel for Jupyter

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The `getpass` API requires that the `GetPassWarning` is generated in case a password cannot be asked to the user in a secure way. This is an important piece of the...

**Issue**: Let's say I have a venv called "env" in Directory A, and also another venv elsewhere with the same name "env" in Directory B. If I create a new...

## Description Jupyter lab status bar is showing that the kernel is idle even though the kernel is busy as seen in the top right kernel status tab. This occurs...

See https://github.com/jupyter/jupyter_console/issues/294 and https://github.com/jupyterlab/jupyterlab/issues/14653 Original reporter is @ubaldot Output of `%matplotlib osx` gives the following error message: ``` 2023-05-03 19:46:24.850 python[46916:7042851] *** Assertion failure in +[NSEvent otherEventWithType:location:modifierFlags:timestamp:windowNumber:context:subtype:data1:data2:], NSEvent.m:647 2023-05-03 19:46:24.852...

ipykernel unconditionally calls `sys.stdout.flush()` and `sys.stderr.flush()`. This is a problem when either `sys.stdout` or `sys.stderr` is `None`, such as in `pythonw.exe` on windows, or Pyinstaller's windowed mode. All of these...

When I execute "conda install pyzmq", the following error message appears: The environment is inconsistent, please check the package plan carefully The following packages are causing the inconsistency: - defaults/win-64::ipykernel==6.19.2=py310h9909e9c_0

doesn't usually make a difference, but a good practice nonetheless.

bug

[PEP 678](https://peps.python.org/pep-0678) added in 3.11 allows enriching exceptions with notes. This works in the REPL: ```py >>> try: ... raise TypeError('bad type') ... except Exception as e: ... e.add_note('Add some...

I have an app that uses jupyter_client to interact with an ipykernel. In that app I have an execution loop that sends an execute request and then waits for a...

bug

Hi, The ipykernel restarting or failing on Mac M1. HI since January I have experiecened that ipykernel keeps failing, randomly regardless what library or environment or python version or CPU...