Difference between revisions of "ML computers jupyter notebooks"
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*https://towardsdatascience.com/jypyter-notebook-shortcuts-bf0101a98330 | *https://towardsdatascience.com/jypyter-notebook-shortcuts-bf0101a98330 | ||
− | [[Category:Machine Learning]] | + | [[Category:AI & Machine Learning]][[Category:Jupiter Notebooks]] |
Latest revision as of 10:28, 25 November 2022
Installation with pip3
- We will install jupyter notebooks with pip3 (not with anaconda)
pip3 install --upgrade pip pip3 install jupyter
- Problem: no permissions
- Solution: Do not solve it with sudo! Instead change the permissions of all the directories that are needed:
sudo chmod -R a+w /usr/local/bin/jupyter sudo chmod -R a+w /usr/local/bin/jupyter-kernel sudo chmod -R a+w /usr/local/bin/jupyter-console
- And try again:
pip3 install jupyter
- Problem: Error -> ERROR: jsonschema 3.1.1 has requirement six>=1.11.0, but you'll have six 1.10.0
- Solution:
pip3 install --upgrade jsonschema==2.5.0 pip3 install jupyter
- More info:
- https://stackoverflow.com/questions/50354769/how-to-run-jupyter-notebook-without-anaconda-on-ubuntu
Usage
- To run the notebook
jupyter notebook
- Already in the notebook.
- common problem: change pip to pip3 in case pip install libraries for the python 2 installation and you are working with notebook that uses python3
- First, we need to know that they are 2 modes in the Jypyter Notebook App: command mode and edit mode.
- Shortcuts in the both modes:
- Shift + Enter run the current cell, select below
- Ctrl + Enter run selected cells
- Alt + Enter run the current cell, insert below
- Ctrl + S save and checkpoint