Run and track a Hamilton dataflow in less than 5 minutes.
+ New Project
button, and add a name, a description, and set visibility.
You can add your team (if you have one) to the “Visible by” and “Modifiable by” sections, as well as anyone you wish to share the project with.
Once the project is created, select it and find the ID — you’ll need it for later.
+ Create new key
. Copy it by clickin on the copy icon and write it down.
pip
installed/know how to manage python environments. If not, it is worth a read here. To install the library/CLI, run:
hello_world
machine_learning
time_series_feature_engineering
data_processing
Select
on the project you just created (or click the DAG icon in the table row). You should see the DAG!
upstream_data
— a dataframeupstream_param
— an integer