Getting Started

Whether you're an energy trader, meteorologist, or any industry professional, our comprehensive solutions are designed to meet your needs: getting started is as easy as 3, 2, 1

3. Install & authenticate

Make sure you are already logged in the developer portal.

pip install jua
jua auth

Tip: try uv, an extremely fast Python package and project manager

uv init && uv add jua

2. Import Jua

from jua import JuaClient
from jua.types.geo import LatLon
from jua.weather import Models, Variables

import matplotlib.pyplot as plt

ZURICH = LatLon(lat=47.3769, lon=8.5417)

1. Get the latest forecast

client = JuaClient()
model = client.weather.get_model(Models.EPT1_5)
forecast = model.forecast.get_forecast(
    points=ZURICH,
)[Variables.AIR_TEMPERATURE_AT_HEIGHT_LEVEL_2M]

🚀 Liftoff 🚀

forecast.to_absolute_time().plot()
plt.title("Temperature in Zurich")
plt.ylabel(Variables.AIR_TEMPERATURE_AT_HEIGHT_LEVEL_2M.display_name_with_unit)
plt.xlabel("Time")
plt.show()

Next Steps

Familiarize yourself with the examples provided in Jua's Python SDK Repository