| # Classic Hamilton Hello World |
| |
| In this example we show you how to create a simple hello world dataflow that |
| creates a dataframe as a result. It performs a series of transforms on the |
| input to create columns that appear in the output. |
| |
| File organization: |
| |
| * `my_functions.py` houses the logic that we want to compute. Note how the functions are named, and what input |
| parameters they require. That is how we create a DAG modeling the dataflow we want to happen. |
| * `my_script.py` houses how to get Hamilton to create the DAG and exercise it with some inputs. |
| * `my_notebook.ipynb` houses how one might iterate in a notebook environment and provide a way to inline define Hamilton |
| functions and add them to the DAG constructed. To be clear, it is not used by `my_script.py`, but showing an alternate path |
| to running/developing things. |
| |
| To run things: |
| ```bash |
| > python my_script.py |
| ``` |
| |
| If you have questions, or need help with this example, |
| join us on [slack](https://join.slack.com/t/hamilton-opensource/shared_invite/zt-1bjs72asx-wcUTgH7q7QX1igiQ5bbdcg), and we'll try to help! |
| |
| # Visualizing Execution |
| Here is the graph of execution - pretty simple, right? |
| |
|  |
