How To Guides

This portion of the documentation goes over the set of common examples for Hamilton usage, so you can apply it to your day-to-day work. Each one corresponds to an example in the examples directory. If there’s an example you want but don’t see, reach out or open an issue on github – we’re always looking to add more.

• Load External Data
• Use Hamilton without Pandas
• Using Hamilton in a notebook
  • Step 1 — Install Jupyter & Hamilton
  • Step 2— Set up the files
  • Step 3— The basic process of iteration
  • Help: I am using Google Colab and I can’t do the above
    • Caveat with this approach:
  • Pro-tip: You can import functions directly
  • Pro-tip: You can use ipython magic to autoreload code
• Run Data Quality Checks
• Run Hamilton at Scale
• Use Hamilton for Model Training
• Use Hamilton with DBT
• Run Hamilton in a Microservice
• Use Hamilton for Feature Engineering
  • Offline Feature Engineering
    • Hamilton Example
  • Streaming Feature Engineering
    • Hamilton Example
  • Online Feature Engineering
    • Hamilton Example
  • Write once, run anywhere blog post:
  • FAQ
    • Q. Can I use Hamilton for feature engineering with Feast?
• Lineage + Hamilton
  • Common Problems (and therefore questions)
  • What is “Lineage”?
  • Hamilton’s Lineage Capabilities
    • Lineage as Code
    • Reproducibility
    • Auditing and Compliance
    • Troubleshooting and Debugging
    • Collaboration
  • Recipe for using Hamilton’s Lineage Capabilities
  • A script you could write to ask questions of your DAGs
• How to use Hamilton for LLM Workflows
• Cache Node Computation