chore: add ipykernel docs AI-22776 #98
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WalkthroughIntroduces a new documentation guide that explains the process of creating a Python virtual environment and registering it as a Jupyter ipykernel, including steps for kernel registration, verification via command-line, and validation within JupyterLab. Changes
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.gitignore (1)
17-17: LGTM! The.ideadirectory is a standard JetBrains IDE configuration folder and should be excluded from version control.docs/en/solutions/How_to_add_ipykernel.md (2)
15-42: Well-structured setup instructions.The step-by-step creation and registration process is clear, well-formatted, and easy to follow. The command examples are properly presented in code blocks, and the inline explanations are helpful.
56-74: Clear verification procedure.The verification section provides both UI-based confirmation (with helpful browser refresh guidance) and a practical Python snippet to validate the environment. The expected output example helps users confirm success.
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🤖 Fix all issues with AI agents
In `@docs/en/solutions/How_to_add_ipykernel.md`:
- Line 28: Replace the hard-coded python-build-standalone release date in the
curl command URL (the
cpython-3.10.13+20240107-x86_64-unknown-linux-gnu-install_only.tar.gz reference)
with the newer release identifier (e.g., update 20240107 to 20251217 and adjust
the filename accordingly) so the curl command downloads the latest stable
prebuilt CPython package; ensure the full URL and tarball name in the line
starting with "curl -L
https://github.com/indygreg/python-build-standalone/releases/download/..." match
the new release tag and artifact name.
♻️ Duplicate comments (1)
docs/en/solutions/How_to_add_ipykernel.md (1)
80-84: The system kernel path remains incorrect despite previous feedback.The
python3kernel is shown at/home/jovyan/.venv/share/jupyter/kernels/python, which incorrectly places the system kernel inside a virtual environment directory. The defaultpython3kernel should reside in a system-wide location such as/usr/local/share/jupyter/kernels/python3,/usr/share/jupyter/kernels/python3, or/opt/conda/share/jupyter/kernels/python3(if using conda).Only the custom
python-testingkernel installed with--userbelongs in~/.local/share/jupyter/kernels/.📝 Corrected example output
Available kernels: -python3 /home/jovyan/.venv/share/jupyter/kernels/python +python3 /usr/local/share/jupyter/kernels/python3 python-testing /home/jovyan/.local/share/jupyter/kernels/python-testing
🧹 Nitpick comments (3)
docs/en/solutions/How_to_add_ipykernel.md (3)
19-19: Minor grammar improvement needed.The phrase "does not require root privileges" lacks a clear subject. For better readability, revise to "and does not require root privileges" or restructure the sentence.
📝 Suggested fix
-In this guide, we use **python-build-standalone**, which provides a *clean, dependency-free, precompiled Python binary for Linux*. This approach does not rely on system libraries, does not require root privileges. It is well-suited for containerized or restricted environments such as JupyterLab. +In this guide, we use **python-build-standalone**, which provides a *clean, dependency-free, precompiled Python binary for Linux*. This approach does not rely on system libraries and does not require root privileges. It is well-suited for containerized or restricted environments such as JupyterLab.
60-60: Consider making the PyPI mirror optional or documenting the default.The command uses a China-specific PyPI mirror (
tuna.tsinghua.edu.cn), which may not be optimal for international users. Consider either:
- Showing the default command without
-iflag and mentioning the mirror as an optional optimization for users in China- Adding a note that users can omit the
-iflag to use the default PyPI index💡 Suggested alternatives
Option 1: Default command with optional mirror note
-pip install ipykernel -i https://pypi.tuna.tsinghua.edu.cn/simple +pip install ipykernel + +# Optional: Use a China mirror for faster downloads +# pip install ipykernel -i https://pypi.tuna.tsinghua.edu.cn/simpleOption 2: Add explanatory note
# Use default PyPI or specify a mirror for faster downloads in China pip install ipykernel -i https://pypi.tuna.tsinghua.edu.cn/simple
86-106: LGTM! Clear verification steps.The verification instructions are well-structured and provide an effective way for users to confirm their kernel is configured correctly. The example output accurately reflects the expected virtual environment path.
Optional enhancement: Consider adding a brief section on how to remove or uninstall kernels when they're no longer needed. For example:
# List installed kernels jupyter kernelspec list # Remove a specific kernel jupyter kernelspec uninstall python-testingThis would provide complete lifecycle management guidance for users.
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🧠 Learnings (1)
📚 Learning: 2026-01-13T11:25:34.596Z
Learnt from: jing2uo
Repo: alauda/knowledge PR: 104
File: docs/en/solutions/How_to_Migrate_VirtualMachine_From_VMware.md:131-172
Timestamp: 2026-01-13T11:25:34.596Z
Learning: In VMware migration documentation (docs/en/solutions), when describing the Forklift Operator workflow for VMware, specify that the VMware provider secret should set insecureSkipVerify=true to accommodate self-signed certificates commonly used in enterprise vCenter/ESXi environments. Include a note on the security trade-offs and ensure readers understand this is for internal, controlled environments.
Applied to files:
docs/en/solutions/How_to_add_ipykernel.md
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🔇 Additional comments (1)
docs/en/solutions/How_to_add_ipykernel.md (1)
11-13: LGTM! Clear introduction and execution context.The introduction effectively explains the document's purpose and provides helpful context about where to execute the commands. This sets clear expectations for users.
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| mkdir -p ~/python310_static && cd ~/python310_static | ||
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| # Download a prebuilt Python 3.10 archive (recent 2024 build) | ||
| curl -L https://github.com/indygreg/python-build-standalone/releases/download/20240107/cpython-3.10.13+20240107-x86_64-unknown-linux-gnu-install_only.tar.gz | tar -xz |
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🧩 Analysis chain
🌐 Web query:
python-build-standalone latest release Python 3.10 2025 2026
💡 Result:
As of Jan 16, 2026 the python-build-standalone project’s latest GitHub release tag is 20251217 (Dec 17, 2025). [1]
python-build-standalone continues to publish prebuilt CPython 3.10 distributions in its 2024–2025 releases (e.g. 3.10.18 -> 3.10.19 in the 2025 series and earlier 3.10.x updates). You can download specific 3.10 builds from any release assets or use tools like pystand/uv that point at the latest release. [1][2]
Sources:
- Releases for astral-sh/python-build-standalone (latest tag 20251217). [1]
- Example release notes showing CPython 3.10 updates (20251010 / 20241205 entries). [2]
Update the Python build URL to the latest stable release.
The URL references release 20240107 (January 2024), which is over a year old. As of January 2026, the latest python-build-standalone release is 20251217 (December 2025), which continues to provide prebuilt CPython 3.10 distributions. Update the URL to a more recent release to ensure users get the latest patches and improvements.
🤖 Prompt for AI Agents
In `@docs/en/solutions/How_to_add_ipykernel.md` at line 28, Replace the hard-coded
python-build-standalone release date in the curl command URL (the
cpython-3.10.13+20240107-x86_64-unknown-linux-gnu-install_only.tar.gz reference)
with the newer release identifier (e.g., update 20240107 to 20251217 and adjust
the filename accordingly) so the curl command downloads the latest stable
prebuilt CPython package; ensure the full URL and tarball name in the line
starting with "curl -L
https://github.com/indygreg/python-build-standalone/releases/download/..." match
the new release tag and artifact name.
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