zoukankan      html  css  js  c++  java
  • Using a local cache for pip packages[pip使用本地cache安装包]

    I do a lot of development without an internet connection, so being able to install packages into a virtual environment without a connection to PyPI is pretty useful.

    I've got a couple of aliases in my .bashrc which help with this:

    alias pipcache='pip install --download ${HOME}/.pip-packages'
    alias pipinstall='pip install --no-index --find-links=file://${HOME}/.pip-packages/'
    

    The first downloads the packages to my local cache, the second installs them from the cache.
    Usage is probably fairly obvious:

    pipcache Django==1.5 # Put Django-1.5.tar.gz in ~/.pip-packages
    pipinstall Django==1.5 # Install ~/.pip-packages/Django-1.5.tar.gz
    
    pipcache -r requirements.txt # Cache all the requirements of a project
    pipinstall -r requirements.txt # Install all requirements from the cache
    

    It's perfectly possible to cache multiple versions of the same package, which is useful for being able to test upgrading to newer releases,
    whilst still being able to revert to the previously pinned package if you find nothing works.
    Since I mostly use a fairly small set of packages, this means I can start up a brand new virtualenv and I'm very likely to have everything I need without going to PyPI. Not having to download large packages makes installs quicker too.

    To take advantage of this, I've added the following to my ~/.bash_profile:

    export PIP_DOWNLOAD_CACHE=$HOME/.pip_download_cache_dir

  • 相关阅读:
    02注册Github账户
    软件工程概论第一节
    01课堂测试
    第二阶段冲刺01
    在子类中,若要调用父类中被覆盖的方法,可以使用super关键字
    动手动脑
    springBoot学习 错误记录
    什么是Hadoop?什么是HDFS?
    springCloud当中Eureca sever当中Camden到底是什么?
    Eureca Server的Helloworld例子
  • 原文地址:https://www.cnblogs.com/sixloop/p/pip_local_install.html
Copyright © 2011-2022 走看看