Kernels

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Overview

A kernel is the computational engine that executes the code contained in a notebook. It acts as an isolated environment that:

• Processes the code you write
• Manages the memory and computations
• Returns the results back to your notebook

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Available Kernel Images

Datazone provides two main kernel images:

• Python: Standard Python environment with common data science libraries
• Python Pyspark: Python environment with Apache Spark support for distributed computing

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Compute Resources

You can select from different compute sizes based on your workload:

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Environment Variables

Before initializing a kernel, you can set custom environment variables to:

• Configure access credentials
• Set runtime parameters
• Define application-specific settings
• Control library behaviors