1、准备工作，查看linux自带的python版本，以及建立一个测试目录用于存放测试文件：
ubuntu@VM-164-254-ubuntu:/var/www/html/test/adminweb/tuijian/testpython$ python -V
Python 2.7.12
ubuntu@VM-164-254-ubuntu:/var/www/html/test/adminweb/tuijian$ sudo mkdir testpython
ubuntu@VM-164-254-ubuntu:/var/www/html/test/adminweb/tuijian$ cd testpython/
ubuntu@VM-164-254-ubuntu:/var/www/html/test/adminweb/tuijian/testpython$ vi test.py
#!/usr/bin/env python
print 'Hello,Welcome to linux python'
如果小于python2.7.需要安装成pthon2.7.，保存之后，使用如下运行：
ubuntu@VM-164-254-ubuntu:/var/www/html/test/adminweb/tuijian/testpython$ python test.py
Hello,Welcome to linux python
运行成功
2、安装机器学习所需要的库：
sudo apt-get update
sudo apt-get install python-numpy
sudo apt-get install python-scipy
sudo apt-get install python-matplotlib
sudo apt-get install python-pandas
sudo apt-get install python-sklearn
安装完成之后，
ubuntu@VM-164-254-ubuntu:/var/www/html/test/adminweb/tuijian/testpython$ python
Python 2.7.12 (default, Dec 4 2017, 14:50:18)
[GCC 5.4.0 20160609] on linux2
Type "help", "copyright", "credits" or "license" for more information.
>>> import matplotlib.pyplot as plt
/usr/lib/python2.7/dist-packages/matplotlib/font_manager.py:273: UserWarning: Matplotlib is building the font cache using fc-list. This may take a moment.
warnings.warn('Matplotlib is building the font cache using fc-list. This may take a moment.')
>>> import matplotlib.pyplot as plt
>>> import numpy as np
>>> import pandas as pd
>>> from sklearn import datasets,linear_model
>>> exit()
当：
>>> import matplotlib.pyplot as plt
/usr/lib/python2.7/dist-packages/matplotlib/font_manager.py:273: UserWarning: Matplotlib is building the font cache using fc-list. This may take a moment.
warnings.warn('Matplotlib is building the font cache using fc-list. This may take a moment.')
这里不是异常，等待一段时间就可以了。至此，安装完成。