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@@ -6,15 +6,15 @@ The `Streamlit` is a free and open-source framework that enables quick developme
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## Set up the Streamlit project environment
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A recommended approach for beginning with Streamlit framework is to create Python environment with [venv](https://docs.python.org/3/library/venv.html). To create a new Python environment, use the following command.
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A recommended approach for beginning with Streamlit framework is to create a Python environment with [venv](https://docs.python.org/3/library/venv.html). To create a new Python environment, use the following command.
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```bash
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python -m venv my-project
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```
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Using the above command will create a Python virtual evnironment.
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Using the above command will create a Python virtual environment.
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Upon completing the aforementioned step to create the `my-project`, run the following command to install Streamlit:
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Upon completing the aforementioned step to create `my-project`, run the following command to install Streamlit:
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```bash
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cd my-project
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## Add Syncfusion Grid package
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Syncfusion Grid component package is available at [pypi.org](https://pypi.org/project/ej2-streamlit-grids/). To use Syncfusion Grid component in the project, install the corresponding pip package.
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Syncfusion Grid component package is available at [pypi.org](https://pypi.org/project/ej2-streamlit-grids/). To use the Syncfusion Grid component in the project, install the corresponding pip package.
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```sh
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pip install ej2-streamlit-grids
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```
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## Add Syncfusion Grid package
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## Add Syncfusion Grid component
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Follow the below steps to add the Syncfusion Grid component to Streamlit Python project:
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Follow the below steps to add the Syncfusion Grid component to the Streamlit Python project:
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1. First, create a Python file named `demo.py` and import the Grid component in the **demo.py** file.
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1. First, create a Python file named `demo.py` and import the Grid component into the **demo.py** file.
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```py
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from ej2_streamlit_grids import GridComponent, GridProps
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The output will appear as follows:
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## Grid features demo
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The Grid component is rendered along with some extra features in the **demo.py** file located in the `demos` folder. The resulting output with these features will be displayed as depicted below:
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