<jupyter_start><jupyter_text>This notebook gives a 30 second introduction to the Vortexa SDK First let's import our requirements<jupyter_code>from datetime import datetime
import vortexasdk as v<jupyter_output><empty_output><jupyter_text>Now let's load a dataframe of a sum of vessels in congestion. You'll need to enter your Vortexa API key when prompted.<jupyter_code>df = v.VoyagesCongestionBreakdown()\
    .search(
        time_min=datetime(2021, 8, 1, 0),
        time_max=datetime(2021, 8, 1, 23))\
    .to_df()
df.head()<jupyter_output><empty_output>
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