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/develop-gpu-test
Anupam Bhatnagar 5 年前
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  1. 2
      docs/Readme.md
  2. 6
      docs/Using-Virtual-Environment.md

2
docs/Readme.md


* [Installation](Installation.md)
* [Background: Jupyter Notebooks](Background-Jupyter.md)
* [Docker Set-up](Using-Docker.md)
* [Using Python Virtual Environment](Using-Virtual-Environment.md)
* [Using Virtual Environment](Using-Virtual-Environment.md)
* [Basic Guide](Basic-Guide.md)
## Getting Started

6
docs/Using-Virtual-Environment.md


# Using Virtual Environment
## What is a Virtual Environment?
A Python Virtual Environment is an isolated workspace for Python projects.
A Virtual Environment is a walled garden for Python projects.
of other projects. This has two advantages:
of other projects. This has a few advantages:
Requirement - Python 3.6 must be installed on the installed on the machine you would like
Requirement - Python 3.6 must be installed on the machine you would like
to run ML-Agents on (either local laptop/desktop or remote server). Python 3.6 can be
installed from [here](https://www.python.org/downloads/).

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