1.下载Python3          https://www.python.org/getit/
两个包都可以使用，不过最好不要下载XZ格式的！！！会出现一些麻烦！！！

下载示例:

  （1）linux中可以直接下载

wget https://www.python.org/ftp/python/3.6.5/Python-3.6.5.tgz

  （2）可以下载到本地然后传到linux上。看个人喜好。

2.创建一个文件夹：mkdir /usr/local/python3

   解压文件

tar -xf Python-3.6.5.tgz -C /usr/local/python3

3.解压之后有一个目录/usr/local/python3目录下有，Python 3.6.5，进入目录 

cd Python-3.6.5

4.开始安装，使用编译的方法进行安装

确保已经安装以下依赖

yum install gcc-c++
yum install pcre pcre-devel
yum install zlib zlib-devel
yum install openssl openssl--devel

然后执行

./configure prefix=/usr/local/python3

make && make install

创建软链接

ln -s /usr/local/Python3/bin/python3 /usr/bin/python3
ln -s /usr/local/Python3/bin/pip3 /usr/bin/pip3

5.完成后再控制台输入python3,测试一下python3 安装是否成功。

6.安装TensorFlow

   pip3 install tensorflow

7.验证安装

$ python3
Python 3.5.3 (default, Jan 19 2017, 14:11:04) 
[GCC 6.3.0 20170118] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
>>> hello = tf.constant('Hello, TensorFlow!')
>>> sess = tf.Session()
2017-08-28 13:02:47.410873: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2017-08-28 13:02:47.410971: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2017-08-28 13:02:47.410990: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
>>> print(sess.run(hello))
b'Hello, TensorFlow!'
>>> a = tf.constant(10)
>>> b = tf.constant(32)
>>> print(sess.run(a+b))
42
>>> quit()

至此，Centos7下安装Python3.x和TensorFlow完成。