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This tutorial demonstrates how to install and use the Python kernel in an offline Windows environment with notebooks.
Prerequisites
Download Python and dependencies
On a machine that has internet access, download the latest Azure Data Studio Python package. Unzip the file into a local directory (for example:
C:\azuredatastudio-python
).Note
The latest Azure Data Studio Python version is 3.8.10.
In a terminal, navigate to the Python directory.
cd C:\azuredatastudio-python
Create a text file named requirements.txt with the following contents.
pandas>=0.24.2 jupyter>=1.0.0 sparkmagic>=0.12.9 powershell-kernel>=0.1.3
Create a sub directory named
wheelhouse
.mkdir wheelhouse
Run the following command to download the required dependencies to the sub directory.
python.exe -m pip download -r requirements.txt -d wheelhouse
Note
Check to make sure you have the latest pip version installed.
If you aren't sure, you can upgrade it by running the following command: C:\azuredatastudio-python\python.exe -m pip install --upgrade pip
.
Install Python on a machine that doesn't have internet access
On a machine that doesn't have internet access, copy the Python folder to a local directory (for example:
C:\azuredatastudio-python
).In a terminal, navigate to the Python folder.
cd C:\azuredatastudio-python
Run the following to install the dependencies.
python.exe -m pip install -r requirements.txt --no-index --find-links wheelhouse
Use the Python Installation in Azure Data Studio
- Open Azure Data Studio
- From the Command Palette, search for Configure Python for Notebooks.
- In the Configure Python for Notebooks wizard, select Use existing Python installation, and browse to the installed Python location (for example:
C:\azuredatastudio-python
).
Once the wizard is completed, open a new notebook and change the kernel to Python.