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Docs comment about Python 3.9 support #2327

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2 changes: 1 addition & 1 deletion docs/index.md
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[Streamlit](https://streamlit.io/) is an open-source Python library that makes it easy to create and share beautiful, custom web apps for machine learning and data science.
In just a few minutes you can build and deploy powerful data apps - so let's get started!

1. Make sure that you have [Python 3.6](https://www.python.org/downloads/) or greater installed.
1. Make sure that you have [Python 3.6 - Python 3.8](https://www.python.org/downloads/) installed.
2. Install Streamlit using [PIP](https://pip.pypa.io/en/stable/installing/) and run the 'hello world' app:

```shell
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2 changes: 1 addition & 1 deletion docs/installation.md
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Before you get started, you're going to need a few things:

- Your favorite IDE or text editor
- [Python 3.6 or later](https://www.python.org/downloads/)
- [Python 3.6 - 3.8](https://www.python.org/downloads/)
- [PIP](https://pip.pypa.io/en/stable/installing/)

If you haven't already, take a few minutes to read through [Main
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11 changes: 11 additions & 0 deletions docs/troubleshooting/sanity-checks.md
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If you're having problems running your Streamlit app, here are a few things to try out.

## Check #0: Are you using a Streamlit-supported version of Python?

Streamlit will maintain backwards-compatibility with earlier Python versions as practical,
guaranteeing compatibility with _at least_ the last three minor versions of Python 3.

As new versions of Python are released, we will try to be compatible with the new version as soon
as possible, though frequently we are at the mercy of other Python packages to support these new versions as well.

Streamlit currently supports versions 3.6, 3.7 and 3.8 of Python. Python 3.9 support is currently on-hold as we
wait for [pyarrow to support Python 3.9](https://arrow.apache.org/docs/python/install.html#python-compatibility).

## Check #1: Is Streamlit running?

On a Mac or Linux machine, type this on the terminal:
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