Use the Analytics 2.0 APIs with Python

1. Create a local virtual environment

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   $ rm -rf venv;
   $ virtualenv -p $(which python3 2>/dev/null || which python) venv
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   $ rm -rf venv;
   $ virtualenv -p $(which python3 2>/dev/null || which python) venv

2. Activate the virtual environment

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   $ [ -f venv/bin/activate ] && source venv/bin/activate || source venv/Scripts/activate
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   $ [ -f venv/bin/activate ] && source venv/bin/activate || source venv/Scripts/activate

3. Install python requirements

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   $ pip install -r requirements.txt
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   $ pip install -r requirements.txt

4. Set up authentication.

5. Populate config.ini with parameters specific to your integration

6. Run python ims_client.py

See Python client resources on GitHub for example code and additional resources.

Last updated 1/19/2024

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