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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
kernel-options

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

Compute Resources

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

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