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Update README #10

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9 changes: 9 additions & 0 deletions README.md
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Expand Up @@ -69,6 +69,15 @@ best might depend on a concrete use case.

Decagon is tested to work under Python 2 and Python 3.

However, as [Python 2.7 will not be maintained past 2020](https://pythonclock.org/) it is recommended to use Python 3.6 and above.
In addition, it can be advantageous to work in a virtual environment.
A virtual environment can be created in Python 3 in the following way:
```
python3 -m venv .env
source ./.env/bin/activate
```
then the requirements can be installed as described below.

Recent versions of Tensorflow, sklearn, networkx, numpy, and scipy are required. All the required packages can be installed using the following command:

$ pip install -r requirements.txt
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