CentOS 6 64bit下，Python数据分析环境搭建

首先是基础环境安装：

    yum install zeromq-devel
    yum install gcc-gfortran
    yum install freetype-devel
    yum install libpng-devel
    yum install atlas-devel
    yum install bzip2-devel
    yum install tk-devel
    yum install tcl-devel
    
    # Use the system python or install python from source code or use virtualenv to manage your python environment
    wget https://bootstrap.pypa.io/ez_setup.py -O - | python
    easy_install pip
    pip install numpy
    pip install scipy
    pip install scikit-learn
    pip install 'ipython[notebook]'
    pip install pandas
    pip install matplotlib
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配置IPython：

```code
    ipython profile create nbserver
    cd .ipython/
    openssl req -x509 -nodes -days 365 -newkey rsa:1024 -keyout mycert.pem -out mycert.pem
    vim /root/.ipython/profile_nbserver/ipython_notebook_config.py
    	c.NotebookApp.ip = '*'
    	c.NotebookApp.port = 9999
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```code
            c.IPKernelApp.ip = '*'
    	c.NotebookApp.open_browser = False
    	c.NotebookApp.certfile = u'/root/.ipython/mycert.pem'
    	c.NotebookApp.password = u'sha1:66bb33f7c567:720c02aefd9f807b94164448e3e711facc24dd6a' # from IPython.lib import passwd;passwd();
    	c.IPKernelApp.pylab = 'inline'
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启动服务

```code
    nohup ipython notebook --profile=nbserver &
    [1] 7330
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之后打开你的服务器https://ip:9999，输入你设置的密码，进入之后，就可以使用浏览器接口做一些数据分析工作了。

  


![在这里插入图片描述](https://img-blog.csdnimg.cn/20210608151750993.gif)