Importing third party packages crashes kernel of Jupyter notebooks in VScode

Environment data

VS Code version: 1.107.0
Jupyter Extension version (available under the Extensions sidebar): 2025.9.1
Python Extension version (available under the Extensions sidebar): 2025.20.0
OS (Windows | Mac | Linux distro) and version: Windows 11 Enterprise (Version 23H2)
Python and/or Anaconda version: Miniforge_BASE_24.11.3; conda 24.11.3; mamba 1.5.12
Type of virtual environment used (N/A | venv | virtualenv | conda | ...): mamba
Jupyter server running: Local

Expected behaviour

Until this morning, I could use my Python environments and create new ones with e.g. mamba create -n <name> -c conda-forge python=3.12 numpy jupyter ... which would work in VScode and I could import any installed package.

Actual behaviour

Now, whenever I try to import a third party package, the kernel dies (even for freshly installed environments) and the logs show the following errors:

[error] Failed to get activated conda env vars for c:\Trusted\test_env2\python.exe
[error] Unable to determine site packages path for python c:\Trusted\test_env2\python.exe (Conda)

The kernel nevertheless starts successfully and can import packages like os and generally execute cells. Only third party packages cause the kernel crash. When instead activating an environment in the command line and starting jupyter from there, everything works normally. Also, my old environments still work as intended, as well, even in VScode.

Noteworthy, the Python environments are stored in this Trusted folder while mamba is installed under C:\Program Files\miniforge3\Scripts\mamba.exe as per company policy. However, until now this setup worked.

Steps to reproduce:

If the installation paths are the culprit, I am not sure how this would be easily reproducible elsewhere.

Logs

Exact same issue with a fresh Windows 11 and VS Code install, etc.

The output is identical indicating the same ExitCode 3228369023 and no "Reason" provided.

11:58:16.131 [info] Restarted d5c4b729-17e8-4919-8ac0-68d4f6ce362c
11:58:28.033 [info] Generated code for 11 = <ipython-input-11-2bcfa45c40a8> with 8 lines
11:58:36.223 [info] Generated code for 12 = <ipython-input-12-a0d2faabd9e9> with 1 lines
11:58:40.101 [error] Disposing session as kernel process died ExitCode: 3228369023, Reason:

Importantly:

Importing standard Python packages (e.g. os, sys, time, etc.) causes no issue as seen at time stamp 11:58:28:033.
Importing any third-party package (e.g. Numpy, Pandas, Matplotlib, etc.) results in the kernel crash a few seconds later (i.e., time stamp 11:58:36:223).
This is not an issue when running python scripts directly in a terminal/command prompt (i.e., in the same venv/conda env) — it only occurs when attempting to run on VS Code.
My remote Linux Ubuntu 22 workstation, which has not been updated in some time, does not have this issue.

loewenm (@loewenm)

loewenm (@loewenm) are you also using a Conda/Pixi environment?

I am using a recently installed Conda environment on Windows 11. Here's my full build.

name: <project_name>
channels:
  - conda-forge
  - defaults
dependencies:
  - _openmp_mutex=4.5=2_gnu
  - asttokens=3.0.0=py312haa95532_0
  - brotli=1.2.0=h2d644bc_1
  - brotli-bin=1.2.0=hfd05255_1
  - bzip2=1.0.8=h0ad9c76_8
  - ca-certificates=2025.12.2=haa95532_0
  - cairo=1.18.4=h5782bbf_0
  - colorama=0.4.6=py312haa95532_0
  - contourpy=1.3.3=py312hf90b1b7_3
  - cuda-version=12.9=h4f385c5_3
  - cycler=0.12.1=pyhcf101f3_2
  - decorator=5.2.1=py312haa95532_0
  - double-conversion=3.4.0=hac47afa_0
  - executing=2.2.1=py312haa95532_0
  - font-ttf-dejavu-sans-mono=2.37=hab24e00_0
  - font-ttf-inconsolata=3.000=h77eed37_0
  - font-ttf-source-code-pro=2.038=h77eed37_0
  - font-ttf-ubuntu=0.83=h77eed37_3
  - fontconfig=2.15.0=h765892d_1
  - fonts-conda-ecosystem=1=0
  - fonts-conda-forge=1=hc364b38_1
  - fonttools=4.61.1=py312h05f76fc_0
  - freetype=2.14.1=h57928b3_0
  - graphite2=1.3.14=hac47afa_2
  - greenlet=3.3.0=py312hbb81ca0_0
  - harfbuzz=12.2.0=h5f2951f_0
  - icu=75.1=he0c23c2_0
  - ipython=9.7.0=py312haa95532_0
  - ipython_pygments_lexers=1.1.1=py312haa95532_0
  - jedi=0.19.2=py312haa95532_0
  - joblib=1.5.3=pyhd8ed1ab_0
  - kiwisolver=1.4.9=py312h78d62e6_2
  - krb5=1.21.3=hdf4eb48_0
  - lcms2=2.17=hbcf6048_0
  - lerc=4.0.0=h6470a55_1
  - libblas=3.11.0=5_hf2e6a31_mkl
  - libbrotlicommon=1.2.0=hfd05255_1
  - libbrotlidec=1.2.0=hfd05255_1
  - libbrotlienc=1.2.0=hfd05255_1
  - libcblas=3.11.0=5_h2a3cdd5_mkl
  - libclang13=21.1.7=default_ha2db4b5_1
  - libdeflate=1.25=h51727cc_0
  - libexpat=2.7.3=hac47afa_0
  - libffi=3.5.2=h52bdfb6_0
  - libfreetype=2.14.1=h57928b3_0
  - libfreetype6=2.14.1=hdbac1cb_0
  - libgcc=15.2.0=h8ee18e1_16
  - libglib=2.86.3=h0c9aed9_0
  - libgomp=15.2.0=h8ee18e1_16
  - libhwloc=2.12.1=default_h4379cf1_1003
  - libiconv=1.18=hc1393d2_2
  - libintl=0.22.5=h5728263_3
  - libjpeg-turbo=3.1.2=hfd05255_0
  - liblapack=3.11.0=5_hf9ab0e9_mkl
  - liblzma=5.8.1=h2466b09_2
  - liblzma-devel=5.8.1=h2466b09_2
  - libpng=1.6.53=h7351971_0
  - libsqlite=3.51.1=hf5d6505_0
  - libtiff=4.7.1=h8f73337_1
  - libvulkan-loader=1.4.328.1=h477610d_0
  - libwebp-base=1.6.0=h4d5522a_0
  - libwinpthread=12.0.0.r4.gg4f2fc60ca=h57928b3_10
  - libxcb=1.17.0=h0e4246c_0
  - libxgboost=3.1.2=cuda129_h8216274_2
  - libxml2=2.15.1=ha29bfb0_0
  - libxml2-16=2.15.1=h06f855e_0
  - libxslt=1.1.43=h0fbe4c1_1
  - libzlib=1.3.1=h2466b09_2
  - llvm-openmp=21.1.7=h4fa8253_0
  - matplotlib=3.10.8=py312h2e8e312_0
  - matplotlib-base=3.10.8=py312h0ebf65c_0
  - matplotlib-inline=0.2.1=py312haa95532_0
  - mkl=2025.3.0=hac47afa_454
  - munkres=1.1.4=pyhd8ed1ab_1
  - numpy=2.3.5=py312ha72d056_0
  - openjpeg=2.5.4=h24db6dd_0
  - openssl=3.6.0=h725018a_0
  - packaging=25.0=pyh29332c3_1
  - pandas=2.3.3=py312hc128f0a_2
  - parso=0.8.5=py312haa95532_0
  - patsy=1.0.2=pyhcf101f3_0
  - pcre2=10.47=hd2b5f0e_0
  - pillow=12.0.0=py312h31f0997_2
  - pip=25.3=pyh8b19718_0
  - pixman=0.46.4=h5112557_1
  - prompt-toolkit=3.0.52=py312haa95532_1
  - prompt_toolkit=3.0.52=hd3eb1b0_1
  - pthread-stubs=0.4=h0e40799_1002
  - pure_eval=0.2.3=py312haa95532_0
  - py-xgboost=3.1.2=cuda129_pyh3031c10_2
  - pygments=2.19.2=py312haa95532_0
  - pyodbc=5.3.0=py312hbb81ca0_0
  - pyparsing=3.2.5=pyhcf101f3_0
  - pyside6=6.10.1=py312h0c8bdd4_0
  - python=3.12.4=h889d299_0_cpython
  - python-dateutil=2.9.0.post0=pyhe01879c_2
  - python-tzdata=2025.3=pyhd8ed1ab_0
  - python_abi=3.12=8_cp312
  - pytz=2025.2=pyhd8ed1ab_0
  - qhull=2020.2=hc790b64_5
  - qt6-main=6.10.1=hf1bda90_2
  - scikit-learn=1.8.0=np2py312hea30aaf_1
  - seaborn=0.13.2=hd8ed1ab_3
  - seaborn-base=0.13.2=pyhd8ed1ab_3
  - setuptools=80.9.0=pyhff2d567_0
  - six=1.17.0=pyhe01879c_1
  - sqlalchemy=2.0.45=py312he06e257_0
  - sqlite=3.51.1=hdb435a2_0
  - stack_data=0.6.3=py312haa95532_0
  - statsmodels=0.14.6=py312h196c9fc_0
  - tbb=2022.3.0=hd094cb3_1
  - threadpoolctl=3.6.0=pyhecae5ae_0
  - tk=8.6.13=h2c6b04d_3
  - tornado=6.5.4=py312he06e257_0
  - traitlets=5.14.3=py312haa95532_0
  - typing-extensions=4.15.0=h396c80c_0
  - typing_extensions=4.15.0=pyhcf101f3_0
  - tzdata=2025c=h8577fbf_0
  - ucrt=10.0.26100.0=h57928b3_0
  - unicodedata2=17.0.0=py312he06e257_1
  - vc=14.3=h2b53caa_33
  - vc14_runtime=14.44.35208=h818238b_33
  - vcomp14=14.44.35208=h818238b_33
  - wcwidth=0.2.13=py312haa95532_0
  - wheel=0.45.1=pyhd8ed1ab_1
  - xgboost=3.1.2=cuda129_pyh5c66634_2
  - xorg-libxau=1.0.12=hba3369d_1
  - xorg-libxdmcp=1.1.5=hba3369d_1
  - xz=5.8.1=h208afaa_2
  - xz-tools=5.8.1=h2466b09_2
  - zlib-ng=2.3.2=h5112557_0
  - zstd=1.5.7=h534d264_6
  - pip:
      - comm==0.2.3
      - debugpy==1.8.19
      - ipykernel==6.31.0
      - jupyter-client==8.7.0
      - jupyter-core==5.9.1
      - nest-asyncio==1.6.0
      - platformdirs==4.5.1
      - psutil==7.1.3
      - pyzmq==27.1.0
      - scipy==1.16.3
prefix: C:\Users\mloewen\AppData\Local\miniconda3\envs\<project_name>

loewenm (@loewenm)

loewenm (@loewenm)

Please could you enable logging as follows:

Open settings & go into Jupyter->Logging
Change the value to trace
Reload VS Code,
Attempt to repro the issue & then copy the output from the Jupyter output panel (use the command Jupyter: Show Output to get to the logs).

Jupter logging output below

Order of events:

opened project in local workspace
executed imports of standard Python packages (i.e. datetime, os, sys, time) -> No issues
executed from IPython.display import display, works without issue
execute any one of the following packages results in the kernel crash shown below (E.g., matplotlib.pyplot, numpy, pandas, sqlalchemy, etc.)

Visual Studio Code (1.107.1, undefined, desktop)
Jupyter Extension Version: 2025.9.1.
Python Extension Version: 2025.20.1.
Python Environment Extension Version: 1.14.0.
Pylance Extension Version: 2025.10.4.
Platform: win32 (x64).
Home = c:\Users\mloewen
Temp Storage folder ~\AppData\Roaming\Code\User\globalStorage\ms-toolsai.jupyter\version-2025.9.1
Multiple Workspace folders opened g:\AI\<folder1>, g:\AI\<folder2>, g:\AI\<folder3>, g:\AI\<folder4>, g:\AI\<folder5>
08:19:51.258 [debug] getDataDirsImpl, Class name = zr (started execution), Arg 1: undefined, Arg 2: undefined
08:19:51.260 [debug] Start refreshing Kernel Picker (1766495991260)
08:19:51.390 [trace] Search for KernelSpecs in Interpreter ~\AppData\Local\miniconda3\python.exe
08:19:51.391 [trace] Search for KernelSpecs in Interpreter ~\AppData\Local\miniconda3\envs\<folder1>\python.exe
08:19:51.519 [debug] Get Custom Env Variables, Class name = Gm, completed in 259ms, has a truthy return value, Arg 1: undefined, Arg 2: "RunPythonCode"
08:19:51.519 [debug] Jupyter Paths : 
08:19:51.526 [debug] getDataDirsImpl, Class name = zr, completed in 268ms, has a truthy return value, Arg 1: undefined, Arg 2: undefined, Return Value: <Uri:/C:/Users/<username>/AppData/Roaming/jupyter>, <Uri:/C:/ProgramData/jupyter>
08:19:51.528 [debug] Kernel Spec Root Paths, ~\AppData\Roaming\jupyter\kernels, c:\ProgramData\jupyter\kernels, home\<username>\.local\share\jupyter\kernels
08:19:51.533 [trace] Conda file is conda
08:19:51.823 [trace] Hiding default KernelSpec python for interpreter ~\AppData\Local\miniconda3\envs\<folder1>\python.exe (KernelSpec file ~\AppData\Local\miniconda3\envs\<folder1>\share\jupyter\kernels\python3\kernel.json)
08:19:51.825 [debug] End refreshing Kernel Picker (1766495991260)
08:20:10.712 [debug] creating new code watcher with matching document file:///g%3A/AI/<folder1>/src/operations/upload_forecasts.py
08:20:10.713 [debug] CodeLensFactory: Generating new code lenses for version 1 of document file:///g%3A/AI/<folder1>/src/operations/upload_forecasts.py for commands jupyter.runcell, jupyter.runallcellsabove, jupyter.debugcell, jupyter.debugcontinue, jupyter.debugstop, jupyter.debugstepover
08:20:15.103 [debug] Start refreshing Kernel Picker (1766496015103)
08:20:15.104 [info] Starting interactive window for resource 'g:\AI\<folder1>\src\operations\upload_forecasts.py' with controller '.jvsc74a57bd043e0cebfe0f1af3dcd2d964371a7e16383a9c82519c5ef986aad1568fd99d317.~\AppData\Local\miniconda3\envs\<folder1>\python.exe.~\AppData\Local\miniconda3\envs\<folder1>\python.exe.-m#ipykernel_launcher (Interactive)'
08:20:15.104 [debug] End refreshing Kernel Picker (1766496015103)
08:20:15.203 [debug] Start refreshing Interpreter Kernel Picker
08:20:15.203 [debug] Start refreshing Kernel Picker (1766496015203)
08:20:15.287 [debug] Controller selection change completed
08:20:15.298 [debug] Get Custom Env Variables, Class name = Gm, completed in 1ms, has a truthy return value, Arg 1: "/G:/AI/<folder1>", Arg 2: "RunPythonCode"
08:20:15.394 [error] Failed to get activated conda env vars for ~\AppData\Local\miniconda3\envs\<folder1>\python.exe
                 in 97ms
08:20:15.396 [error] Unable to determine site packages path for python ~\AppData\Local\miniconda3\envs\<folder1>\python.exe (Conda)
08:20:15.396 [trace] Prepend PATH with python bin for ~\AppData\Local\miniconda3\envs\<folder1>\python.exe
08:20:15.396 [debug] Getting activated env variables, Class name = Wd, completed in 100ms, has a truthy return value, Arg 1: "/G:/AI/<folder1>", Arg 2: "~\\AppData\\Local\\miniconda3\\envs\\<folder1>\\python.exe", Arg 3: undefined
08:20:15.409 [info] Process Execution: ~\AppData\Local\miniconda3\envs\<folder1>\python.exe -m pip list
08:20:15.624 [debug] Refreshed Environments
08:20:15.628 [trace] Python API env change detected, update => '~\AppData\Local\miniconda3\envs\<folder1>\python.exe'
08:20:16.459 [debug] Interactive Window Editor Created: untitled:/Interactive-1.interactive with input box: vscode-interactive-input:/InteractiveInput-1
08:20:16.463 [debug] start the kernel, options.disableUI=false for Interactive-1.interactive
08:20:16.466 [info] Starting Kernel (Python Path: ~\AppData\Local\miniconda3\envs\<folder1>\python.exe, Conda, 3.12.4) for 'Interactive-1.interactive' (disableUI=false)
08:20:16.467 [trace] Creating raw notebook for resource 'g:\AI\<folder1>\src\operations\upload_forecasts.py'
08:20:16.539 [debug] Get Custom Env Variables, Class name = Gm, completed in 1ms, has a truthy return value, Arg 1: "/G:/AI/<folder1>/src/operations/upload_forecasts.py", Arg 2: "RunPythonCode"
08:20:16.542 [debug] Launching kernel .jvsc74a57bd043e0cebfe0f1af3dcd2d964371a7e16383a9c82519c5ef986aad1568fd99d317.~\AppData\Local\miniconda3\envs\<folder1>\python.exe.~\AppData\Local\miniconda3\envs\<folder1>\python.exe.-m#ipykernel_launcher for g:\AI\<folder1>\src\operations\upload_forecasts.py in g:\AI\<folder1>\src\operations with ports 9002, 9001, 9005, 9003, 9004
08:20:16.625 [debug] End refreshing Kernel Picker (1766496015203)
08:20:16.629 [error] Failed to get activated conda env vars for ~\AppData\Local\miniconda3\envs\<folder1>\python.exe
                 in 91ms
08:20:16.630 [error] Unable to determine site packages path for python ~\AppData\Local\miniconda3\envs\<folder1>\python.exe (Conda)
08:20:16.630 [trace] Prepend PATH with python bin for ~\AppData\Local\miniconda3\envs\<folder1>\python.exe
08:20:16.630 [debug] Getting activated env variables, Class name = Wd, completed in 92ms, has a truthy return value, Arg 1: "/G:/AI/<folder1>/src/operations/upload_forecasts.py", Arg 2: "~\\AppData\\Local\\miniconda3\\envs\\<folder1>\\python.exe", Arg 3: undefined
08:20:16.653 [info] Process Execution: ~\AppData\Local\miniconda3\envs\<folder1>\python.exe -c "import ipykernel; print(ipykernel.__version__); print("5dc3a68c-e34e-4080-9c3e-2a532b2ccb4d"); print(ipykernel.__file__)"
08:20:16.679 [info] Process Execution: ~\AppData\Local\miniconda3\envs\<folder1>\python.exe ~\.vscode\extensions\ms-toolsai.jupyter-2025.9.1-win32-x64\pythonFiles\vscode_datascience_helpers\kernel_interrupt_daemon.py --ppid 40756
    > cwd: ~\.vscode\extensions\ms-toolsai.jupyter-2025.9.1-win32-x64\pythonFiles\vscode_datascience_helpers
08:20:16.862 [trace] Got a response of 3320 for INITIALIZE_INTERRUPT:0
08:20:16.888 [info] Process Execution: ~\AppData\Local\miniconda3\envs\<folder1>\python.exe -m ipykernel_launcher --f=~\AppData\Roaming\jupyter\runtime\kernel-v3663f9d303bcffe56f2865abc280d1c1cf069276d.json
    > cwd: g:\AI\<folder1>\src\operations
08:20:16.888 [debug] Kernel process 5904.
08:20:17.440 [trace] ipykernel version & path 6.31.0, ~\AppData\Local\miniconda3\envs\<folder1>\Lib\site-packages\ipykernel\__init__.py for ~\AppData\Local\miniconda3\envs\<folder1>\python.exe
08:20:19.078 [debug] Kernel output 5904: To connect another client to this kernel, use:
--existing ~\AppData\Roaming\jupyter\runtime\kernel-v3663f9d303bcffe56f2865abc280d1c1cf069276d.json
08:20:19.194 [debug] Waiting for Raw Session to be ready in postStartRawSession
08:20:19.194 [debug] Waiting for Raw session to be ready, status: connected
08:20:19.194 [trace] Raw session connected
08:20:19.195 [debug] Waited for Raw session to be ready & got status: connected
08:20:19.195 [debug] Successfully waited for Raw Session to be ready in postStartRawSession
08:20:19.195 [debug] Kernel status is 'unknown' before requesting kernel info and after ready
08:20:19.195 [debug] Sending request for kernelInfo
08:20:19.400 [trace] Got response for requestKernelInfo
08:20:19.400 [debug] Successfully completed postStartRawSession after 1 attempt(s) in 205ms
08:20:19.403 [trace] Executing silently Code (busy) = import sys as _VSCODE_sys\nprint(_VSCODE_sys.executable); del _VSCODE_sys
08:20:19.412 [trace] Executing silently Code (completed) = import sys as _VSCODE_sys\nprint(_VSCODE_sys.executable); del _VSCODE_sys with 1 output(s)
08:20:19.413 [trace] Started running kernel initialization for Interactive-1.interactive
08:20:19.413 [trace] Executing silently Code (idle) = try:\nimport ipywidgets as _VSCODE_ipywidgets\nprint("e976ee50-99ed-4aba-9b6b-9dcd5634d07d:IPy
08:20:19.428 [trace] Executing silently Code (completed) = try:\nimport ipywidgets as _VSCODE_ipywidgets\nprint("e976ee50-99ed-4aba-9b6b-9dcd5634d07d:IPy with 0 output(s)
08:20:19.428 [trace] Determined IPyWidgets Version as undefined
08:20:19.430 [trace] Executing silently Code (idle) = import types as _VSCODE_types\nimport os\nimport hashlib as _VSCODE_hashlib\nfrom IPython import get_ip
08:20:19.452 [trace] Executing silently Code (completed) = import types as _VSCODE_types\nimport os\nimport hashlib as _VSCODE_hashlib\nfrom IPython import get_ip with 0 output(s)
08:20:19.453 [debug] Requesting Kernel info
08:20:19.453 [trace] Got Kernel info
08:20:19.453 [trace] End running kernel initialization, now waiting for idle
08:20:19.454 [trace] Waiting for idle on (kernel): aaaafc37-01f1-4937-a639-7fa27c913198 -> idle
08:20:19.454 [trace] Finished waiting for idle on (kernel): aaaafc37-01f1-4937-a639-7fa27c913198 -> idle
08:20:19.454 [trace] End running kernel initialization, session is idle
08:20:19.455 [trace] Registering Kernel Completion Provider from kernel <folder1> (Python 3.12.4) for language python
08:20:19.456 [trace] IPyWidgetScriptSource.initialize
08:20:19.456 [trace] Registering commtarget jupyter.widget
08:20:19.456 [info] Kernel successfully started
08:20:19.459 [debug] getDataDirsImpl, Class name = zr (started execution), Arg 1: "/G:/AI/<folder1>/src/operations/upload_forecasts.py", Arg 2: "~\\AppData\\Local\\miniconda3\\envs\\<folder1>\\python.exe"
08:20:19.461 [debug] Initializing __file__ in setFileInKernel with file:///g%3A/AI/<folder1>/src/operations/upload_forecasts.py for mode multiple
08:20:19.463 [trace] Executing silently Code (idle) = __file__ = 'g:\\AI\\<folder1>\\src\\operations\\upload_forecasts.py'
08:20:19.466 [info] Generated code for 1 = <ipython-input-1-f34892d30725> with 5 lines
08:20:19.470 [trace] Executing silently Code (completed) = __file__ = 'g:\\AI\\<folder1>\\src\\operations\\upload_forecasts.py' with 0 output(s)
08:20:19.475 [trace] Cell Index:1 sent to kernel
08:20:19.499 [info] Process Execution: ~\AppData\Local\miniconda3\envs\<folder1>\python.exe ~\.vscode\extensions\ms-toolsai.jupyter-2025.9.1-win32-x64\pythonFiles\printJupyterDataDir.py
08:20:19.500 [debug] Start refreshing Kernel Picker (1766496019500)
08:20:19.500 [debug] End refreshing Kernel Picker (1766496019500)
08:20:19.507 [trace] Start cell 1 execution @ 1766496019507 (clear output)
08:20:19.507 [debug] Kernel acknowledged execution of cell 1 @ 1766496019507
08:20:19.509 [trace] Cell 1 completed in 0.001s (start: 1766496019507, end: 1766496019508)
08:20:19.509 [trace] Cell 1 executed successfully
08:20:19.642 [debug] getDataDirsImpl, Class name = zr, completed in 183ms, has a truthy return value, Arg 1: "/G:/AI/<folder1>/src/operations/upload_forecasts.py", Arg 2: "~\\AppData\\Local\\miniconda3\\envs\\<folder1>\\python.exe", Return Value: <Uri:/C:/Users/<username>/AppData/Roaming/jupyter>, <Uri:/C:/Users/<username>/AppData/Local/miniconda3/envs/<folder1>/share/jupyter>, <Uri:/C:/ProgramData/jupyter>
08:20:25.880 [info] Generated code for 2 = <ipython-input-2-1a0695c23045> with 1 lines
08:20:25.889 [trace] Cell Index:2 sent to kernel
08:20:25.892 [trace] Start cell 2 execution @ 1766496025892 (clear output)
08:20:25.892 [debug] Kernel acknowledged execution of cell 2 @ 1766496025892
08:20:25.894 [trace] Cell 2 completed in 0.002s (start: 1766496025892, end: 1766496025894)
08:20:25.895 [trace] Cell 2 executed successfully
08:20:29.396 [info] Generated code for 3 = <ipython-input-3-a0d2faabd9e9> with 1 lines
08:20:29.405 [trace] Cell Index:3 sent to kernel
08:20:29.408 [trace] Start cell 3 execution @ 1766496029408 (clear output)
08:20:29.408 [debug] Kernel acknowledged execution of cell 3 @ 1766496029408
08:20:32.592 [debug] KernelProcess Exited 5904, Exit Code - 3228369023 
08:20:32.593 [error] Disposing session as kernel process died ExitCode: 3228369023, Reason: 
08:20:32.593 [debug] Dispose Kernel process 5904.
08:20:32.599 [debug] Disposed Kernel process 5904.
08:20:32.616 [trace] Cell 3 completed in -1766496029.408s (start: 1766496029408, end: undefined)

loewenm (@loewenm)

loewenm (@loewenm)
The problem is the conda environment isn't getting activated.
Please can you share the logs from your Python extension as well (please replicate the problem before sharing the logs, to get to the python logs, just open the Python output panel instead of Jupyter)

That sounds right: it is failing to open the correct conda environment when restarting the kernel.

Importantly, I am able to activate this environment in CMD Prompt and run scripts, etc. However, I cannot activate it in PowerShell, which I'm assuming that VS Code is using.

This is a fresh install and new computer. Did I forget to do something during install?

python output only

2025-12-24 09:33:34.639 [info] Using interpreter path: undefined
2025-12-24 09:33:34.640 [info] Using Windows-specific commands: activate, conda activate gics_sectors_v3
2025-12-24 09:33:34.657 [info] > activate && conda activate pytorch_env && echo 'e8b39361-0157-4923-80e1-22d70d46dee6' && python ~/.vscode/extensions/ms-python.python-2025.20.1-win32-x64/python_files/printEnvVariables.py
2025-12-24 09:33:34.658 [info] shell: commandPrompt
2025-12-24 09:33:34.709 [error] getActivatedEnvironmentVariables [Error: Command failed: activate && conda activate pytorch_env && echo 'e8b39361-0157-4923-80e1-22d70d46dee6' && python c:/Users/mloewen/.vscode/extensions/ms-python.python-2025.20.1-win32-x64/python_files/printEnvVariables.py
'activate' is not recognized as an internal or external command,
operable program or batch file.

	at genericNodeError (node:internal/errors:983:15)
	at wrappedFn (node:internal/errors:537:14)
	at ChildProcess.exithandler (node:child_process:418:12)
	at ChildProcess.emit (node:events:531:35)
	at maybeClose (node:internal/child_process:1101:16)
	at Socket.<anonymous> (node:internal/child_process:456:11)
	at Socket.emit (node:events:519:28)
	at Pipe.<anonymous> (node:net:346:12)] {
  code: 1,
  killed: false,
  signal: null,
  cmd: "activate && conda activate pytorch_env && echo 'e8b39361-0157-4923-80e1-22d70d46dee6' && python c:/Users/mloewen/.vscode/extensions/ms-python.python-2025.20.1-win32-x64/python_files/printEnvVariables.py"
}

Don Jayamanne (@DonJayamanne)

Update: I figured it out - This is not a VS Code issue. My apologies.

How to fix: In PowerShell, I needed to change ExecutionPolicy to RemoteSigned

Set-ExecutionPolicy -Scope CurrentUser -ExecutionPolicy RemoteSigned

I'm assuming this is a change with respect to Windows 11 itself as I'm quite sure that I did not perform this action on my previous workstation.

Thank you for your help Don Jayamanne (@DonJayamanne)

glad to hear you resolved it- happy coding!

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Importing third party packages crashes kernel of Jupyter notebooks in VScode #25700

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Importing third party packages crashes kernel of Jupyter notebooks in VScode #25700

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loewenm commented on Dec 17, 2025

DonJayamanne commented on Dec 18, 2025

loewenm commented on Dec 19, 2025

DonJayamanne commented on Dec 19, 2025

loewenm commented on Dec 23, 2025

DonJayamanne commented on Dec 24, 2025

loewenm commented on Dec 24, 2025

loewenm commented on Dec 24, 2025

eleanorjboyd commented on Jan 5, 2026

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