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  • python Linux 环境 (版本隔离工具)

    python Linux 环境 (版本隔离工具)

    首先新建用户,养成良好习惯useradd python

    1、安装pyenv

    GitHub官网:https://github.com/pyenv/pyenv-installer

    pyenv installer

    This tool installs pyenv and friends. It is inspired by rbenv-installer.

    Prerequisites

    In general, compiling your own Python interpreter requires the installation of the appropriate libraries and packages. The installation wiki provides a list of these for common operating systems.

    Install:

    $ curl https://pyenv.run | bash
    

    pyenv.run redirects to the install script in this repository and the invocation above is equivalent to:

    $ curl -L https://github.com/pyenv/pyenv-installer/raw/master/bin/pyenv-installer | bash
    

    Restart your shell so the path changes take effect:

    You can now begin using pyenv.

    Update:

    $ pyenv update
    

    Uninstall: pyenv is installed within $PYENV_ROOT (default: ~/.pyenv). To uninstall, just remove it:

    $ rm -fr ~/.pyenv
    

    and remove these three lines from .bashrc:

    export PATH="$HOME/.pyenv/bin:$PATH"
    eval "$(pyenv init -)"
    eval "$(pyenv virtualenv-init -)"
    

    If you need, export USE_GIT_URI to use git:// instead of https:// for git clone.

    Travis itself uses pyenv and therefore PYENV_ROOT is set already. To make it work anyway the installation for pyenv-installer needs to look like this:

    [...]
    - unset PYENV_ROOT
    - curl -L https://github.com/pyenv/pyenv-installer/raw/master/bin/pyenv-installer | bash
    - export PATH="$HOME/.pyenv/bin:$PATH"
    - pyenv install 3.5.2
    

    The project on github contains a setup for vagrant to test the installer inside a vagrant managed virtual image.

    If you don't know vagrant yet: just install the latest package, open a shell in this project directory and say

    $ vagrant up
    $ vagrant ssh
    

    Now you are inside the vagrant container and your prompt should like something like vagrant@vagrant-ubuntu-trusty-64:~$

    The project (this repository) is mapped into the vagrant image at /vagrant

    $ cd /vagrant
    $ python setup.py install
    $ echo 'export PATH="$HOME/.pyenv/bin:$PATH"' >> ~/.bashrc
    $ echo 'eval "$(pyenv init -)"' >> ~/.bashrc
    $ echo 'eval "$(pyenv virtualenv-init -)"' >> ~/.bashrc
    $ source ~/.bashrc
    

    Pyenv should be installed and responding now.

    20190111

    • Remove experimental PyPi support and replace with a dummy package.

    • Initial release on PyPi.

    • Initial public release.

    MIT - see License file.

    2、安装python

    查看python可用版本
    pyenv install -l
    

    在线安装
    [python@zhangyi-centos7 ~]$ pyenv install 3.5.4
    Downloading Python-3.5.4.tar.xz...-> https://www.python.org/ftp/python/3.5.4/Python-3.5.4.tar.xz
    

    离线安装

    到官网下载 对应版本源码

    https://www.python.org/downloads/source/

    两个包都下载好

    Python-x.x.x.tar.xz

    Python-x.x.x.tgz

    放入用户目录下的~/.pyenv/cache文件夹

    新建文件夹
    makedir -r ~/.pyenv/cache
    

    3、3.7版本依赖问题:

    3.7版本需要一个新的包libffi-devel,安装此包之后再次进行编译安装即可。
    #yum install libffi-devel -y
    #make install
    
    若在安装前移除了/usr/bin下python的文件链接依赖,此时yum无法正常使用,需要自己下载相关软件包安装,为节省读者时间,放上链接
    #wget http://mirror.centos.org/centos/7/os/x86_64/Packages/libffi-devel-3.0.13-18.el7.x86_64.rpm
    #rpm -ivh libffi-devel-3.0.13-18.el7.x86_64.rpm
    
    安装完成后重新进行make install,结束后再次配置相关文件的软连接即可。

    4、使用 pyenv 进行版本隔离

    查看已安装的python版本

    5、把用户目录下的环境设置成新安装的python版本

    pyenv local 3.7.4
    

    6、增加虚拟环境

    增加名为zhangyi的虚拟环境
    pyenv virtualenv zhangyi
    

    .png)

    查看虚拟环境

    7、安装ipython

    切换pip源

    参考博客:https://blog.csdn.net/u011220960/article/details/81512435

    Linux系统:
    mkdir ~/.pip
    cat > ~/.pip/pip.conf << EOF
    [global]trusted-host=[mirrors.aliyun.com](http://mirrors.aliyun.com/)index-url=https://mirrors.aliyun.com/pypi/simple/
    EOF
    pip install ipython
    

    8、安装jupyter

    pip install jupyter
    
    启动jupyter初始化密码
    jupyter notebook passwd
    

    指定jupyter 启动绑定的ip
    jupyter notebook --ip=0.0.0.0
    

    浏览器访问jupyter

    http://192.168.131.32:8888

    9、Python 虚拟环境包导出

    导出包配置文件

    pip freeze > requirement

    导入包配置文件

    pip -r requirement

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  • 原文地址:https://www.cnblogs.com/lscool66/p/11548248.html
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