In order for Jupyter to connect to TDengine cloud service, before launching Jupypter, the environment setting must be performed. We use Linux bash as example.
```bash
export TDENGINE_CLOUD_TOKEN="<token>"
export TDENGINE_CLOUD_URL="<url>"
jupyter notebook
```
</TabItem>
</Tabs>
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@@ -106,4 +84,34 @@ Copy code bellow to your editor and run it. If you are using jupyter, assuming y
For how to write data and query data, please refer to <https://docs.tdengine.com/cloud/data-in/insert-data/> and <https://docs.tdengine.com/cloud/data-out/query-data/>.
For more details about how to write or query data via REST API, please check [REST API](https://docs.tdengine.com/cloud/programming/connector/rest-api/).
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For more details about how to write or query data via REST API, please check [REST API](https://docs.tdengine.com/cloud/programming/connector/rest-api/).
## Jupyter
**Step 1: Install**
For the users who are familiar with Jupyter to program in Python, both TDengine Python connector and Jupyter need to be ready in your environment. If you have not done yet, please use below commands to install them.
```bash
pip install jupyterlab
pip install notebook
pip3 install-U taospy
```
**Step 2: Configure**
In order for Jupyter to connect to TDengine cloud service, before launching Jupypter, the environment setting must be performed. We use Linux bash as example.
```bash
export TDENGINE_CLOUD_TOKEN="<token>"
export TDENGINE_CLOUD_URL="<url>"
jupyter notebook
```
**Step 3: Connect**
Once jupyter notebook is launched, Jupyter notebook service is automatically connected and shown in your browser. You can create a new Python file and copy the sample code below and run it.
