synopsis
Jupyter Notebook is an open source web application that allows users to create and share documents containing code, equations, visualizations and text.
Its uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and more!
basic operation
2.1 windows update pip library
python -m pip install --upgrade pip -i /simple
C:\Users\basketball>python -m pip install --upgrade pip -i /simple Looking in indexes: /simple Collecting pip Downloading /packages/ca/31/b88ef447d595963c01060998cb329251648acf4a067721b0452c45527eb8/pip-21.2. (1.6 MB) |████████████████████████████████| 1.6 MB 1.1 MB/s Installing collected packages: pip Attempting uninstall: pip Found existing installation: pip 20.1.1 Uninstalling pip-20.1.1: Successfully uninstalled pip-20.1.1 Successfully installed pip-21.2.4
2.2 jupyter installation
# Install jupyter pip install jupyter #No module named 'x' x shows whatever dependencies need to be installed if there is an error elevation. pip install maturin #Install plug-ins to improve efficiency pip install jupyter_contrib_nbextensions #Update jupyter pip install --upgrade jupyter
2.3 Starting jupyter for the first time
# Press windows key + r and type :jupyter-notebook #google browser Enter: 127.0.0.1:8888 or localhost:8888
Seeing this page is successful!
2.4 Setting a password to enter jupyter
C:\>CD jupyter C:\jupyter> #windows commands to create files C:\jupyter>jupyter notebook --generate-config # Generate files C:\jupyter>jupyter notebook password #Set password x x x x # or view token input login C:\jupyter>jupyter notebook list
# Run jupyter again
E:\>jupyter notebook [W 21:12:13.097 NotebookApp] Terminals not available (error was No module named '') [I 21:12:13.099 NotebookApp] Serving notebooks from local directory: E:\ [I 21:12:13.099 NotebookApp] Jupyter Notebook 6.4.3 is running at: [I 21:12:13.102 NotebookApp] http://localhost:8888/ [I 21:12:13.102 NotebookApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation).
Seeing this page is a success!!!
3. Create a jupyter text
Usage of text
4.1 Saving and downloading text
4.2 Running and switching code
4.3 Multiple code runs
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