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Notebook Requirements
Charles J. Fowler edited this page Jul 29, 2024
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Setup Local Notebook Workspace
- Install Jupyter, Notebook, Volia as per Juypter.org
- Create, Activate and Se;ect Virtual Environment
- Install
ipykernel
- Create new kernel
- Start Jupyter
- Select Kernel for project 6.1 Create/Import a (New) Jupyter Notebook 6.2 Choose your Notebook's Kernel
- Use
pip install
as not using conda or mamba package management, on Windows, VSCode - Use Brew for WSL, Linux, macOS to install
- Use
venv
per project environments over user enviornments (--user
) and system level environments for packages.
#!python3
pip install jupyterlab
# Launch
juypter lab
Install Log
Installing collected packages:anyio, argon2-cffi-bindings, argon2-cffi, arrow, async-lru, attrs, babel, beautifulsoup4, bleach, certifi, cffi, charset-normalizer, defusedxml, fastjsonschema, fqdn, h11, httpcore, httpx, idna, isoduration, jinja2, json5, jsonpointer, jsonschema-specifications, jsonschema, jupyter-events, jupyter-lsp, jupyter-server-terminals, jupyter-server, jupyterlab jupyterlab-pygments, jupyterlab-server, MarkupSafe, mistune, nbclient, nbconvert, nbformat, notebook-shim, overrides, pandocfilters, prometheus-client, pycparser, python-json-logger, pyyaml, pywinpty, referencing, requests, rfc3339-validator, rfc3986-validator, rpds-py, send2trash, setuptools, sniffio, soupsieve, terminado, tinycss2, types-python-dateutil, uri-template, urllib3, webcolors, webencodings, websocket-client,
Run Log
[I 2024-07-05 17:53:13.089 ServerApp] jupyter_lsp | extension was successfully linked. [I 2024-07-05 17:53:13.099 ServerApp] jupyter_server_terminals | extension was successfully linked. [I 2024-07-05 17:53:13.110 ServerApp] jupyterlab | extension was successfully linked. [I 2024-07-05 17:53:13.120 ServerApp] notebook | extension was successfully linked. [I 2024-07-05 17:53:13.128 ServerApp] Writing Jupyter server cookie secret to C:\Users\Charles\AppData\Roaming\jupyter\runtime\jupyter_cookie_secret D:\Code\IBMSB\.venv\Lib\site-packages\traitlets\traitlets.py:1897: DeprecationWarning: ServerApp.token config is deprecated in jupyter-server 2.0. Use IdentityProvider.token return t.cast(Sentinel, self._get_trait_default_generator(names[0])(self)) [I 2024-07-05 17:53:13.659 ServerApp] notebook_shim | extension was successfully linked. [I 2024-07-05 17:53:13.660 ServerApp] voila.server_extension | extension was successfully linked. [I 2024-07-05 17:53:13.719 ServerApp] notebook_shim | extension was successfully loaded. [I 2024-07-05 17:53:13.722 ServerApp] jupyter_lsp | extension was successfully loaded. [I 2024-07-05 17:53:13.722 ServerApp] jupyter_server_terminals | extension was successfully loaded. [I 2024-07-05 17:53:13.728 LabApp] JupyterLab extension loaded from D:\Code\IBMSB\.venv\Lib\site-packages\jupyterlab [I 2024-07-05 17:53:13.728 LabApp] JupyterLab application directory is D:\Code\IBMSB\.venv\share\jupyter\lab [I 2024-07-05 17:53:13.729 LabApp] Extension Manager is 'pypi'. [I 2024-07-05 17:53:14.035 ServerApp] jupyterlab | extension was successfully loaded. [I 2024-07-05 17:53:14.044 ServerApp] notebook | extension was successfully loaded. [I 2024-07-05 17:53:14.059 ServerApp] voila.server_extension | extension was successfully loaded. [I 2024-07-05 17:53:14.060 ServerApp] Serving notebooks from local directory: D:\Code\IBMSB [I 2024-07-05 17:53:14.060 ServerApp] Jupyter Server 2.14.1 is running at: [I 2024-07-05 17:53:14.060 ServerApp] http://localhost:8888/lab?token=7ebb81a71da0b99bda657c46dea3a8903d24528a0de6cf41 [I 2024-07-05 17:53:14.061 ServerApp] http://127.0.0.1:8888/lab?token=7ebb81a71da0b99bda657c46dea3a8903d24528a0de6cf41 [I 2024-07-05 17:53:14.061 ServerApp] Use Control-C to stop this server and shut down all kernels (twice to skip confirmation). [C 2024-07-05 17:53:14.147 ServerApp]To access the server, open this file in a browser: file:///C:/Users/Charles/AppData/Roaming/jupyter/runtime/jpserver-37228-open.html Or copy and paste one of these URLs: http://localhost:8888/lab?token=7ebb81a71da0b99bda657c46dea3a8903d24528a0de6cf41 http://127.0.0.1:8888/lab?token=7ebb81a71da0b99bda657c46dea3a8903d24528a0de6cf41
[I 2024-07-05 17:53:14.368 ServerApp] Skipped non-installed server(s): bash-language-server, dockerfile-language-server-nodejs, javascript-typescript-langserver, jedi-language-server, julia-language-server, pyright, python-language-server, python-lsp-server, r-languageserver, sql-language-server, texlab, typescript-language-server, unified-language-server, vscode-css-languageserver-bin, vscode-html-languageserver-bin, vscode-json-languageserver-bin, yaml-language-server [W 2024-07-05 17:53:36.146 LabApp] Could not determine jupyterlab build status without nodejs
#!python3
pip install notebook
# Run Notebook
jupyter notebook
Install Log
Requirement already satisfied as per jupyterlab Installing collected packages:notebook
#!python3
pip install voila
3rd Party Bill of Materials - Extensions
- ✅ Jupyter (extension ID: ms-toolsai.jupyter)
- ✅ Jupyter Notebook Renderers (extension ID: ms-toolsai.jupyter-renderers)
- ✅ Jupyter Keymap (extension ID: ms-toolsai.jupyter-keymap)
- ✅ Jupyter Cell Tags (extension ID: ms-toolsai.vscode-jupyter-cell-tags)
- ✅ Jupyter Slide Show (extension ID: ms-toolsai.vscode-jupyter-slideshow)
- ✅ VS Code Jupyter Notebook Previewer (extension ID: jithurjacob.nbpreviewer)
- ✅ Juyptext for Notebooks (conguiwu) (extension ID: congyiwu.vscode-jupytext)
- ✅ Default Python Kernels for Juypter Notebooks (extension ID: donjayamanne.vscode-default-python-kernel)
- ✅ Juypter TOC (extension ID: xelad0m.jupyter-toc)
Other | Related
- ✅ GitHub Issue Notebooks (extension ID: ms-vscode.vscode-github-issue-notebooks)
- ✅ Polyglot Notebooks (extension ID: ms-dotnettools.dotnet-interactive-vscode )
- Either: i. Clone your repo from GitHub, navigate to and start enabling Python per project
- Or : ii. Make a new repo directory, initialise Git for project and start enabling Python per project
# syntax
python3 -m venv <virtual environment name>
# example
# that would create a virtual environment named 'myenv'
python3 -m venv myenv
# Check for Pip Version@Latest
# > ... via 🐍 v3.12.4 (.venv)
python -m pip install --upgrade pip
# syntax
# source <virtual environment name>/bin/activate
# example (Windows/pwsh)
.venv\\Scripts\\activate.ps1
# VS CODE prompts you to set it as default for the project, hit yes
- Provides the Python kernel that allows Jupyter to execute Python code
- The IPython kernel, provided by ipykernel, is the default kernel used for executing Python code in Jupyter.
- Kernels must match Python environment, so hence using a name
venv
environement is critical for correct package dependencies.
- Install Kernels: iPython 1, 2
pip3 install ipykernel
Install log
Installing collected packages: wcwidth, pywin32, pure-eval, traitlets, tornado, six, pyzmq, pygments, psutil, prompt-toolkit, platformdirs, parso, packaging, nest-asyncio, executing, decorator, debugpy, colorama, python-dateutil, matplotlib-inline, jupyter-core, jedi, comm, asttokens, stack-data, jupyter-client, ipython, ipykernel#
Successfully installed asttokens-2.4.1 colorama-0.4.6 comm-0.2.2 debugpy-1.8.2 decorator-5.1.1 executing-2.0.1 ipykernel-6.29.5 ipython-8.26.0 jedi-0.19.1 jupyter-client-8.6.2 jupyter-core-5.7.2 matplotlib-inline-0.1.7 nest-asyncio-1.6.0 packaging-24.1 parso-0.8.4 platformdirs-4.2.2 prompt-toolkit-3.0.47 psutil-6.0.0 pure-eval-0.2.2 pygments-2.18.0 python-dateutil-2.9.0.post0 pywin32-306 pyzmq-26.0.3 six-1.16.0 stack-data-0.6.3 tornado-6.4.1 traitlets-5.14.3 wcwidth-0.2.13
- Create Name Kernel 1, 2
# syntax
# python3 -m ipykernel install --user --name=<projectname>
# example: Create a kernel named 'myproject'
python3 -m ipykernel install --user --name=myproject
- List available Kernels
- List Installed Kernels: To see the available kernels, use:
jupyter kernelspec list
- Help for Jupyter Kernels
jupyter kernelspec
No subcommand specified. Must specify one of: ['list', 'install', 'uninstall', 'remove', 'install-self', 'provisioners']
Manage Jupyter kernel specifications.
Subcommands
===========
Subcommands are launched as `jupyter kernelspec cmd [args]`. For information on
using subcommand 'cmd', do: `jupyter kernelspec cmd -h`.
list
List installed kernel specifications.
install
Install a kernel specification directory.
uninstall
Alias for remove
remove
Remove one or more Jupyter kernelspecs by name.
install-self
[DEPRECATED] Install the IPython kernel spec directory for this Python.
provisioners
List available provisioners for use in kernel specifications.
- Start Juypter
Sources: [1,2]
- From Terminal: as follows
- From Command Panel:
- Start Notebook
#!
jupyter lab
- Accessing Notebook
- Localhost or 127.0.0.1
- Port: 8889
To access the notebook, open this file in a browser:
file:///Users/<your username>/Library/Jupyter/runtime/nbserver-15044-open.html
Or copy and paste one of these URLs:
https://localhost:8889/?token=f1ae910e56381c26a62cfb18f83241076bd11d84f7e8e36e
or https://127.0.0.1:8889/?token=f1ae910e56381c26a62cfb18f83241076bd11d84f7e8e36e
- Launch with
jupyter lab
#!
jupyter lab
- Create a PWA in Edge, pin to star and task bar.
- Check the generated URL in terminal
- Launch an Interactive Window
-
Ctrl + shift + P
+Create Interactive Window
Run Log
Multiple Workspace folders opened {{drive}}:\{{path-to-workspace}}, {{drive}}:{{path-node}}\Node\v20.15.0Starting interactive window for resource '' with controller `'.jvsc74a57bd089d947ee5d2aaa1eefb549a877eacfb210543ead6485de83f2532087dfd2eefb.{{drive}}:\{{path-to-workspace}}\.venv\Scripts\python.exe.{{drive}}:\{{path-to-workspace}}\.venv\Scripts\python.exe.-m#ipykernel_launcher (Interactive)'`
- Start Jupyter Server
Run Log
`juypter select intrepter to start Jupyter server `0Process Execution: {{drive}{:\{{path-to-workspace}}\.venv\Scripts\python.exe -c "import pip;print('6af208d0-cb9c-427f-b937-ff563e17efdf')"
Process Execution: {{drive}}:\{{path-to-workspace}}\.venv\Scripts\python.exe -c "import jupyter;print('6af208d0-cb9c-427f-b937-ff563e17efdf')"
Process Execution: {{drive}}:\{{path-to-workspace}}\.venv\Scripts\python.exe -c "import notebook;print('6af208d0-cb9c-427f-b937-ff563e17efdf')"
Process Execution: {Pdrive}}:\{{path-to-workspace}}\.venv\Scripts\python.exe -m jupyter kernelspec --version
.
- 1 Video: How To Setup & Run Jupyter Notebooks in VS Code w/ Virtual Environment & Kernels (Remote & Local) - Devin Schumacher. Last Access: July 2024
- 2 Article: How To Setup & Run Jupyter Notebooks in VS Code w/ Virtual Environment & Kernels (Remote & Local) - devinschumacher.com. Last Access: July 2024