Start writing about Streamlit

content/posts/data-webapps-with-streamlit/index.md

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+title = "Quick and easy data web apps in Python with Streamlit"
+date = "2024-04-01"
+draft = true
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+
+I recently switched jobs (from one IT consultancy to another, smaller one).
+This also meant switching client project, and subsequently I would be working with another tech stack than what I had been using the last few years.
+I was going from microservices in csharp/.NET to "data apps" with Python, Pandas and Streamlit.
+
+In order to prepare for the new project, I spent a week creating a [new hobby project](/projects/bike-count/) to play with the new tech stack.
+I was surprised how little effort is needed to get from having a CSV file to having a working web application with interactive tables, charts and maps.
+In this blog post I'll demonstrate how to get started with a data web app using Python, Pandas and Streamlit. It won't be very thorough.
+If you want a deeper understanding, check out the official [streamlit.io/get-started](https://docs.streamlit.io/get-started) page.
+
+### Setup / installation
+
+0. Create and navigate to a new project directory
+
+1. Create and activate a new Python virtual environment within the project directory
+
+   ```bash
+   python -m venv .venv
+   . .venv/bin/activate
+   ```
+
+   > Note:
+   > If you're using Linux and want to use another version of python than what `python` is installed/configured to be,
+   > I have [some notes](https://notes.christianfosli.com/python.html#managing-multiple-python-versions-and-dependencies)
+
+2. Install dependencies with pip
+
+```bash
+echo <<EOF > requirements.txt
+streamlit~=1.32
+pandas~=2.2
+numpy~=1.26
+EOF
+
+pip install -r requirements.txt
+```
+
+### Create initial Streamlit app
+
+TODO
+
+### Dataframes
+
+### Plots
+
+### More