---
title: Python
---
[toc]
## Environment Settings{#enviroment}
### Software Version and System Requirements{#version}
The pythons listed in the table below are available.
As they are all provided as packages that come with the operating system, you do not need to set up the environment with module files.
|Version | Module File Name | SystemA | System B/C | System G | Cloud System | Notes
|--- | --- | --- | --- | --- | --- | ---
|2.7 | none | + | + | + | + | Command Name: python2.7, pip2.7
|3.6 | none | + | + | + | + | Command Name: python3.6, pip3.6
|3.8 | none | + | + | + | + | Command Name: python3.8, pip3.8
\+ ： Available for all users
\- ： Not available
### Available Libraries{#library}
You can check the libraries installed by default with the pip command.
If you need additional packages, you can use the pip command to install additional packages in your HOME directory.
```
##When you display a list of installed packages in a python 3.8 environment
$ pip3.8 list
Package Version
---------------------------- ----------
absl-py 1.3.0
asgiref 3.6.0
astunparse 1.6.3
...
```
### Machine Learning/Deep Learning
The following Python packages have been installed in a specific python environment in advance.
以下のPythonパッケージは予め特定のpython環境にインストールしてあります。
You need to load the module file to use.
| Python | System| Type | Package | Version | Library | Module File | Notes
|--- |--- |--- | --- | --- | --- | --- | ---
| python3.8 | A/B/C | CPU | TensorFlow | 2.11.0 | MKL 2022.3 | tensorflow/2.11.0.py38_intel-2022.3 | Intel Optimized AVX512 version
| python3.8 | A/B/C | CPU | MXNet | 1.6.0 | MKL 2022.3 | mxnet/1.6.0.py38_intel-2022.3 | MKL-compliant version
| python3.8 | A/B/C | CPU | PyTorch | 1.13.1 | MKL 2022.3 | pytorch/1.13.1.py38_intel-2022.3 | intel extension for pytorch Available
| python3.8 | G | GPU | TensorFlow | 2.11.0 | CUDA 11.2 | tensorflow/2.11.0.py38_cuda-11.2 | GPU version_TensorRT Available
| python3.8 | G | GPU | MXNet | 1.9.1 | CUDA 11.7 | mxnet/1.9.1.py38_cuda-11.7 | GPU version
| python3.8 | G | GPU | PyTorch | 1.13.1 | CUDA 11.7 | pytorch/1.13.1.py38_cuda-11.7 | GPU version
#### Intel Extension for PyTorch
* [Documentation](https://intel.github.io/intel-extension-for-pytorch/cpu/latest/index.html)
* [Examples](https://intel.github.io/intel-extension-for-pytorch/cpu/latest/tutorials/examples.html)
## ANACONDA DISTRIBUTION
ANACONDA DISTRIBUTION, Python packages available, is installed.
If you prefer ANACONDA DISTRIBUTION instead of the standard python, you can use it by loading the following module file.
| DISTRIBUTION | Python | Module File |
|--- |--- |--- |
| anaconda3 2022.10 | python3.9 | anaconda3/2022.10 |