lambda_des_workshop_slides/removed_snippets.qmd at main · hsma-programme/lambda_des_workshop_slides · GitHub

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## Running the Code

:::: {.columns}

::: {.column width='25%'}

:::{.incremental .smaller}
- Ask IT for approval to install **Python**
- Install the additional packages into an **environment**
:::

:::

::: {.column width='75%'}

:::{.fragment}
Run it from the **terminal**...

![](assets/Code_Dlz655dql1.gif)
:::

:::

::::


## Streamlit

:::: {.columns}

::: {.column width='40%'}

:::{.incremental}

- Free Python-based web app framework

- App users don't have to install Python

- Hosting
  - free online hosting
  - on-premisis hosting
  - browser-based running

- Alternatives exit (Shiny, Plotly Dash)

:::

:::

::: {.column width='60%'}

:::{.fragment}

<iframe data-src="https://webapps.hsma.co.uk/warnings_errors_success_messages.html" style="width:100%; height:600px;"></iframe>

:::

:::

::::

:::{.notes}
This is a topic we teach on HSMA

Streamlit could be applied to a wide range of problems - not just DES
:::

## Animations

![](assets/firefox_UPExVIss55.gif){height="650px"}


:::{.fragment}

- How do you assess that it made good predictions, and refine it?

:::


## A reminder - what might apps contain?

<!-- ## What can these web apps contain? -->

```{stlite-python}
{{< include streamlit_app_examples/streamlit_input_demo_app.py >}}
```

<!-- ## And what can they output?

*Text, metric cards, static plots, interactive plots, maps, downloadable reports* -->