> ## Documentation Index
> Fetch the complete documentation index at: https://docs.rho.store/llms.txt
> Use this file to discover all available pages before exploring further.

# Quickstart

> Get up and running in a few minutes

export const APP_ACCOUNT_PAGE = 'https://rho.store/app/account';

## Setting up

<Info>
  **Prerequisite** You should have created an account on [Rho web app](https://rho.store).
</Info>

In the web app, go to [account settings](https://rho.store/app/account) to get an API key.

Install the Python SDK:

```bash theme={null}
pip install rho-store --upgrade --no-cache
```

Import and initialize the client:

```python main.py theme={null}
from rho_store import RhoClient

rho_client = RhoClient(api_key="$YOUR_API_KEY")
```

List available tables:

```python main.py theme={null}
tables = rho_client.list_tables()

for table in tables:
    print(table)
```

Fetch data for a table:

```python main.py theme={null}
table = tables[0]
df = table.get_df()

print(df.head())
```

### Upload a dataset

Make sure [pandas](https://pandas.pydata.org/) is installed:

```bash theme={null}
pip install pandas
```

Upload a dataframe with one line of code:

```python main.py theme={null}
import pandas as pd

# example data
emissions_df = pd.read_csv("https://raw.githubusercontent.com/plotly/datasets/master/Emissions%20Data.csv")

table = rho_client.store_df(emissions_df, name="emissions_data")
print(table.client_url)  # the URL of the table on Rho web app
```

## Summary

That's it! You have uploaded and downloaded data from `rho` using one-liners.

In the next section, we will learn how to use different types of upload and merge strategies.