update prereqs and go to alpha

Author: jenna-jordan

_config.yml

@@ -16,7 +16,7 @@ title: "Interactive Data Visualizations in Python"
 # Life cycle stage of the lesson
 # See this page for more details: https://cdh.carpentries.org/the-lesson-life-cycle.html
 # Possible values: "pre-alpha", "alpha", "beta", "stable"
-life_cycle: "pre-alpha"
+life_cycle: "alpha"
 
 #------------------------------------------------------------
 # Generic settings (should not need to change).

index.md

@@ -12,9 +12,10 @@ This workshop lesson is an introduction to making interactive data visualization
 > ## Prerequisites
 >
 > 1. Learners should have completed the [Plotting and Programming in Python](http://swcarpentry.github.io/python-novice-gapminder/) workshop.
-> 2. Learners should have Anaconda installed on their machines, as specified in the [setup for Plotting and Programming in Python](http://swcarpentry.github.io/python-novice-gapminder/setup.html), with an up-to-date version of Python (>=3.6)
-> 3. Learners should have a text editor installed (such as [VS Code](https://code.visualstudio.com/download)) and a Streamlit-compatible web browser (Google Chrome, Firefox, Microsoft Edge, Safari)
-> 4. (Optional) Learners should have a Streamlit Sharing account - [request one here](https://streamlit.io/sharing-sign-up) - if they wish to deploy and publish their visualization site.
+> 2. Learners should have Anaconda installed on their machines, as specified in the [setup for Plotting and Programming in Python](http://swcarpentry.github.io/python-novice-gapminder/setup.html).
+> 3. Learners should be comfortable with using the command line.
+> 4. Learners should have a Jupyter Lab & Streamlit compatible web browser installed (Google Chrome, Firefox, or Safari).
+> 5. (Optional) Learners should have a Streamlit Sharing account - [request one here](https://streamlit.io/sharing-sign-up) - if they wish to deploy and publish their visualization web app.
 {: .prereq}
 
 {% include links.md %}