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I was facing the same issue. Whenever I would start jupyter notebook using the following command, I would not see an option to create a new Python 3 Notebook. I solved the issue by the running the following command. pip install notebook After that I started notebook with the same command as before. jupyter notebook
Jupyterlab can open multiple ".ipynb" files inside a single browser tab. Whereas, Jupyter Notebook will create new tab to open new ".ipynb" files every time. Hovering between various tabs of browser is tedious, thus Jupyterlab is more helpful here. I'd recommend using PIP to install Jupyterlab.
Steps to run Jupyter Notebook on GPU. 1. Create a new environment using Conda: Open a command prompt with admin privilege and run the below command to create a new environment with the name gpu2. Follow the on-screen instructions as shown below and gpu2 environment will be created. enter image description here enter image description here.
Then, launch JupyterLab, go to Help --> Launch Classic Notebook, and open the notebook in which you want to add the ToC. Click the toc2 symbol in the toolbar to bring up the floating ToC window (see the gif below if you can't find it), click the gear icon and check the box for "Add notebook ToC cell".
pip install jupyter_contrib_nbextensions. Next install js and css file for jupyter by running. jupyter contrib nbextension install --user. and at the end run, jupyter nbextension enable hinterland/hinterland. The output of last command will be. Enabling notebook extension hinterland/hinterland... - Validating: OK
With the latest version of Jupyter, you can now choose between Light and Dark themes from Settings -> Theme: Works for both Jupyter Lab and Notebook. Note for plots. Plotting libraries are (at least as of 2023-09-24) unaware of the dark/light theme, so they will default to white. You can configure them to use dark mode with: Plotly:
84. When you $ pip install jupyter several dependencies are installed. The best way to uninstall it completely is by running: $ pip install pip-autoremove. $ pip-autoremove jupyter -y. Kindly refer to this related question. pip-autoremove removes a package and its unused dependencies. Here are the docs.
@Royi Not just on Windows, but in a Jupyter Notebook on Linux, this did not change the environment variable either, at least not well enough: it does change something as it does somehow claim the memory, but it does not seem to fully pass it to the compiler, it seems to be a rights issue of the user that you are in. %set_env and os.environ[] will both fail if code must run with settings from ...
Go to Windows Shell with admin mode (Win+X and you get the field) - here is the most comfortable place to work; Go to your python.exe (for example, my way is C:\Users\user\AppData\Local\Programs\Python\Python37) - just for sure; python.exe python -m pip install --upgrade pip; python.exe pip install jupyter;
Already tried: pip install tornado==4.5.3. pip install ipykernel==4.8.2. What I do is: Initializing the environment on prompt (windows 7): Move to directory of environment: cd C:\Python\Envs\env1\Scripts and use: activate now the promt show (env1), so it's active. From there, I move to another directory and call jupyter, but when starts, the ...