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Tutorials

Step-by-step guides to master PyCharter's features.

Learning Path

We recommend following these tutorials in order:

graph LR
    A[ETL Pipelines] --> B[Contracts & Validation]
    B --> C[Quality Monitoring]
    C --> D[Metadata Store]
    D --> E[REST API & UI]

Available Tutorials

  • Building ETL Pipelines

    Learn to build data pipelines with extractors, transformers, and loaders.

    Duration: 30 minutes

    Start Tutorial

  • Data Contracts & Validation

    Define contracts, coercion rules, and validation logic for your data.

    Duration: 25 minutes

    Start Tutorial

  • Data Quality Monitoring

    Monitor quality metrics, track violations, and set threshold alerts.

    Duration: 20 minutes

    Start Tutorial

  • Metadata Store & Schema Registry

    Store, version, and retrieve schemas using different backends.

    Duration: 20 minutes

    Start Tutorial

  • REST API & Web UI

    Use PyCharter's API server and interactive web interface.

    Duration: 15 minutes

    Start Tutorial

Prerequisites

Before starting the tutorials, ensure you have:

  • Python 3.11+ installed
  • PyCharter installed (pip install pycharter[api,ui,etl])
  • Basic knowledge of Python async/await
  • Familiarity with JSON Schema (helpful but not required)

Tutorial Format

Each tutorial includes:

  1. Overview - What you'll learn
  2. Prerequisites - What you need before starting
  3. Step-by-step instructions - Hands-on coding
  4. Code examples - Copy-paste ready snippets
  5. Exercises - Practice what you've learned
  6. Next steps - Where to go from here

Getting Help

If you get stuck: