chore: add ipykernel docs AI-22776

.gitignore

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+.idea

docs/en/solutions/How_to_add_ipykernel.md

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+---
+products:
+   - Alauda AI
+kind:
+   - Solution
+ProductsVersion:
+   - 1.5
+---
+# Add a New ipykernel in JupyterLab
+
+This document explains how to create a new Python virtual environment, register it as a Jupyter ipykernel, and verify that it is available in JupyterLab.
+
+All commands in this guide should be executed **inside the JupyterLab environment**. You can either exec into the JupyterLab Pod using Kubernetes commands, or run the commands directly from the **Terminal** available on the JupyterLab Launcher page.
+
+## Download an Additional Python Version (Optional)
+
+The built-in Python version in JupyterLab is **Python 3.11**. If you need a virtual environment based on a different Python version, it is recommended to download a **prebuilt standalone Python distribution** instead of compiling Python manually or installing system packages.
+
+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.
+
+The following example shows how to install **Python 3.10** using a python-build-standalone release:
+
+```bash
+# Create a directory
+mkdir -p ~/python310_static && cd ~/python310_static
+
+# 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
+
+# Verify the Python version (expected output: Python 3.10.13)
+~/python310_static/python/bin/python3 --version
+
+# Create a virtual environment using Python 3.10
+~/python310_static/python/bin/python3 -m venv ~/.venv-py310
+```
+
+## Create and Register a New ipykernel
+
+First, create a new Python virtual environment:
+
+```bash
+python -m venv ~/.venv-testing
+
+# If you installed Python 3.10 in the previous section, use:
+~/python310_static/python/bin/python3 -m venv ~/.venv-py310
+```
+
+Activate the virtual environment:
+
+```bash
+source ~/.venv-testing/bin/activate
+
+# If you are using the Python 3.10 virtual environment:
+source ~/.venv-py310/bin/activate
+```
+
+Install the required `ipykernel` package into the virtual environment:
+
+```bash
+pip install ipykernel -i https://pypi.tuna.tsinghua.edu.cn/simple
+```
+
+Register this virtual environment as a Jupyter kernel:
+
+```bash
+python -m ipykernel install \
+  --user \
+  --name python-testing \
+  --display-name "Python (testing)"
+```
+
+Verify that the new kernel has been registered successfully:
+
+```bash
+jupyter kernelspec list
+```
+
+Example output:
+
+```text
+Available kernels:
+python3           /home/jovyan/.venv/share/jupyter/kernels/python
+python-testing    /home/jovyan/.local/share/jupyter/kernels/python-testing
+```
+
+## Verify the Kernel in JupyterLab
+
+After registering the kernel, refresh the JupyterLab page in your browser.
+
+On the **Launcher** page, a new card named **Python (testing)** will appear under both the **Notebook** and **Console** sections.
+
+Click **Python (testing)** under **Console** to open a new console tab, then run the following code to verify that the kernel is using the correct environment:
+
+```python
+import sys
+
+print("Python version:", sys.version)
+print("Python executable:", sys.executable)
+```
+
+If the output shows the Python executable path pointing to the newly created virtual environment, the ipykernel has been configured correctly. For example:
+
+```text
+Python version: 3.11.13 (main, ...)
+Python executable: /home/jovyan/.venv-testing/bin/python
+```