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# Post-Training Optimization Tool Installation Guide {#pot_InstallationGuide}
## Prerequisites
* Python* 3.6 or higher
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* [OpenVINO™ ](https://docs.openvino.ai/latest/index.html )
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The minimum and the recommended requirements to run the Post-training Optimization Tool (POT) are the same as in [OpenVINO™ ](https://docs.openvino.ai/latest/index.html ).
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## Install POT from PyPI
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The simplest way to get the Post-training Optimization Tool and OpenVINO™ installed is to use PyPI. Follow the steps below to do that:
1. Create a separate [Python* environment ](https://docs.python.org/3/tutorial/venv.html ) and activate it
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2. To install OpenVINO™ , run `pip install openvino` .
3. To install POT and other OpenVINO™ developer tools, run `pip install openvino-dev` .
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Now the Post-training Optimization Tool is available in the command line by the `pot` alias. To verify it, run `pot -h` .