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An experimental public repository for holding various Optimizely Labs

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Optimizely Labs

Optimizely Labs is a collection of tutorials ("labs") for working with Optimizely data and developer tools.

Each lab contains a focused combination of documentation and code demonstrating how to solve a specific problem with Optimizely data or developer tools. For example, this lab contains instructions for loading and querying Optimizely Enriched Event data using Apache Spark.

Labs are self-contained, so all of the instructions and resources needed to run executable code can be found in the lab directory. They're also open-sourced under the Apache 2.0 license, so you're free to modify and use them to solve problems in your own way.

Resources

  • Optimizely Labs page - (Coming soon!) A handy website for exploring, reading, and downloading lab code.
  • Labs directory - The source of truth for lab content.
  • Contributing guide - Want to contribute to this repository? Start here.

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An experimental public repository for holding various Optimizely Labs

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  • Jupyter Notebook 82.2%
  • Python 13.4%
  • Shell 4.4%