# 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](https://developer.jua.ai/).

```bash
pip install jua
jua auth
```

{% hint style="info" %}
Tip: try [uv](https://docs.astral.sh/uv/getting-started/), an extremely fast Python package and project manager

```bash
uv init && uv add jua
```

{% endhint %}

**2. Import Jua**

```python
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**

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

**🚀 Liftoff 🚀**

```python
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()
```

<figure><img src="https://1986182558-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FNPK7o92NEEVYPacbsvB0%2Fuploads%2Fgit-blob-4b8d778bb2f0aeb46dbaf0ad60dad88034bb4af2%2Fgetting_started.png?alt=media" alt=""><figcaption></figcaption></figure>

### Next Steps

Familiarize yourself with the examples provided in[ Jua's Python SDK Repository](https://github.com/juaAI/jua-python-sdk/tree/main/examples)


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