第一、下载Anaconda3-5.1.0-Linux-x86_64.sh安装包
第二、先安装bzip2；命令:yum install -y bzip2
第三、bash Anaconda3-5.1.0-Linux-x86_64.sh；
第四、export PATH=/root/anaconda3/bin:$PATH
第五、source ~/.bashrc（需要切换到root根目录）；
第六、安装tensorflow；pip install tensorflow；安装过程如下：
测试案例：
输入 python
import tensorflow as tf
a=tf.constant(1)
b=tf.constan(2)
c=tf.multiply(a,b)
sess=tf.Session()
print(sess.run(c))
print(tf.__version__)
结果输出：
1
1.9.0
tensorflow成功安装；
第七、安装talib；pip install TA-Lib;提示错误：unable to execute 'gcc': No such file or directory；于是安装yum install gcc;
然后下载最新的talib版本http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz；解压该文档后进入ta-lib目录下，依次执行如下命令：
./configure --prefix=/usr
make
make install
cp /usr/lib/libta_lib* /root/anaconda3/lib/
pip install TA-Lib
结果显示如下：
[root@localhost ta-lib]# pip install TA-Lib
Collecting TA-Lib
Using cached https://files.pythonhosted.org/packages/90/05/d4c6a778d7a7de0be366bc4a850b4ffaeac2abad927f95fa8ba6f355a082/TA-Lib-0.4.17.tar.gz
Requirement already satisfied: numpy in /root/anaconda3/lib/python3.6/site-packages (from TA-Lib)
Building wheels for collected packages: TA-Lib
Running setup.py bdist_wheel for TA-Lib ... done
Stored in directory: /root/.cache/pip/wheels/2a/2e/ec/71c565b2e0091e03a2b56abfbfd062f14a01a8d7b20ffe8bd5
Successfully built TA-Lib
Installing collected packages: TA-Lib
Successfully installed TA-Lib-0.4.17
显示成功安装；
再小小测试下：
>>> arr
array([1.9, 0.9, 9.1])
>>> arr.shape
(3,)
>>> talib.SMA(arr,2)
array([nan, 1.4, 5. ])
成功输出结果；
最后一步：运行每日预测程序，成功输出结果；