¡Hola, Mundo!

install nbconvert pip install nbconvert convert jupyter nbconvert --to script filename.ipynb $ jupyter nbconvert --to script UtilLayers_renew.ipynb result [NbConvertApp] Converting notebook UtilLayers_renew.ipynb to script [NbConvertApp] Writing 4528 bytes to UtilLayers_renew.py

When VSCode went fouled up. 1.Check kennel. 2. Check pyenv versions $ pyenv versions system 3.8.15 3.8.15/envs/jupyter * jupyter (set by PYENV_VERSION environment variable) system - It installed and provided on the os basically. Under this available to all users. - To install the package on the system, you can run sudo pip install. It installs the Python package globally. 3.8.15 - I installed th..

1. install pyenv for managing various python versions 2. install python 3. install virtualenv I create virtual environment named 'jupyter' pyenv virtualenv 3.8.15 jupyter 4. apply 'jupyter' environment. Assign the virtual environment as the local environment. Now the environment will open whenever you enter your project directory. pyenv local jupyter 5. install jupyter lab pip install jupyterlab..

The temporary solution when local does not recognize the installed libraries from server. Make the library file only and manage the packages there.

Open the kernel, search Remote-SSH. Select the server I want to connect. Open the jupyter. Finally it connected to the remote server. when connect to ubuntu via wsl :