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When you execute this code, it will print the exact Python version that's being used by your cluster. This provides instant clarity on the environment in which your code will run. This will display the complete version string, including the Python version, build information, and compiler details. Another way is to check the cluster configuration. When you create or edit a cluster, you can usually view the installed runtime, which includes the Python version. This is typically found in the cluster's settings, where you can see the runtime version (e.g., Databricks Runtime 13.2) and often specific details about the included Python version. Finally, you can use the Databricks CLI or API to inspect the cluster's configuration programmatically. This can be useful for scripting or automating the process of checking the Python version across multiple clusters. The Databricks environment provides several methods for you to quickly and easily check the Python version. It ensures that you have all the necessary information at your fingertips. By checking the Python version, you can quickly verify that your code is compatible with the environment. This helps you avoid potential issues. You can confirm that you're using the intended runtime version. It lets you confirm the configurations before you even start running your code. So whether you prefer to use a notebook, cluster settings, or the CLI, checking your Python version is quick and easy.
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