![]() ![]() You can start with installing ipykernel directly in the selected environment. ![]() ![]() Es por ello que se puede encontrar fácilmente en diversos sistemas operativos, ya que las aplicaciones de Electron son multiplataforma. Successfully installed argcomplete-2.0.0 backcall-0.2.0 debugpy-1.5.1 decorator-5.1.1 entrypoints-0.3 ipykernel-6.6.1 ipython-7.31.0 jedi-0.18.1 jupyter-client-7.1.0 jupyter-core-4.9.1 matplotlib-inline-0.1.3 nest-asyncio-1.5.4 parso-0.8.3 pickleshare-0.7.5 prompt-toolkit-3.0.24 pygments-2.11.2 pyzmq-22.3.0 tornado-6.1 traitlets-5.1.1 wcwidth-0.2.5 Una de las ventajas de Visual Studio Code es que está desarrollado con JavaScript, sobre el propio motor del navegador Chrome, usando el framework ElectronJS. Visual Studio Code is a distribution of the Code - OSS repository with Microsoft-specific customizations released under a traditional Microsoft product license. Step 2: Press the Download for Windows button on the website to start the download of the Visual Studio Code Application. Xxx/xxx/./ python.exe -m pip install -U ipykernelĪnd finally, the installed packages: Installing collected packages: wcwidth, traitlets, parso, tornado, pyzmq, pygments, prompt-toolkit, pickleshare, nest-asyncio, matplotlib-inline, jupyter-core, jedi, entrypoints, decorator, backcall, jupyter-client, ipython, debugpy, argcomplete, ipykernel Step 1: Visit the official website of the Visual Studio Code using any web browser like Google Chrome, Microsoft Edge, etc. I hit the pop up to install and can see the following being installed in the selected virtual environment/kernel i am using with my Jupyter notebook. Update cadence VS Code releases a new version each month with new features and important bug fixes. You can review the System Requirements to check if your computer configuration is supported. ipynb file in VS Code while trying to run it, it gave the error "Running cells with Python 3.7.8(env_name:venv) require ipykernel package". Windows VS Code is lightweight and should run on most available hardware and platform versions. I am using python venv for virtual environment. The problem mentioned is not specific to conda based virtual environments. ![]()
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