Apache Hamilton code

Apache Hamilton dataflow

File structure

The Apache Hamilton refactor is composed of a few files:

data_processing.py and data_science.py contains regular Python functions to define the Apache Hamilton dataflow. This is equivalent to Kedro's pipeline.py and nodes.py files.
run.py contains the “driver code” to load and execute the dataflow. There's no direct equivalent in the Kedro tutorial since it prefers using the CLI for execution.
notebooks/interactive.ipynb contains the “driver code”, similar to run.py, but uses Apache Hamilton Jupyter Magics to define the dataflow interactively in a notebook.
tests/test_dataflow.py includes tests equivalent to tests/pipelines/data_science/test_pipeline.py in the Kedro code.

Create a virtual environment and activate it

python -m venv venv && . venv/bin/active

Install requirements for the Apache Hamilton code
```
pip install -r requirements.txt
```
Install the current hamilton-code project
```
pip install -e .
```
Run the dataflow
```
python run.py
```
Run the tests
```
pytest tests/
```