use*_*844 26 python pip pypi anaconda conda
使用Anacoda Python发行版时,安装不能通过Anaconda直接获得的PyPi包的最佳方法是什么？现在我正在使用:
conda pipbuild [pypi_name]
conda install --use-local [package_spec]
但我不清楚这是否是最佳方式,如果conda update --all在更新可用时更新这些包.我也不清楚当PyPi已经存在时binstar的意义何在.
Chr*_*lan 32
我不同意接受的响应并注意到这pip install [some-pypi-package]通常是在Conda环境中安装PyPi包的最佳方式.
虽然这些软件包不会由Conda软件包管理器管理,但它们仍将由Anaconda环境管理.它将为活动Python安装下载正确版本的软件包,并使用pip软件包管理器正确更新.
当使用蟒蛇,你应该转向conda前pip时,你可以,但你不会失去任何的当您使用使用蟒蛇的可复制性的好处pip.
asm*_*rer 28
如果要为PyPI包构建conda包,建议的方法是在其创建的配方上使用conda skeleton pypi package和使用conda build package.每次更新包时,您都需要更新配方.
您还可以使用pip安装这些包.这里的缺点是这些包装根本不会由conda管理.
从4.6.0版开始，Conda改进了与pip的互操作性：
Conda and pip have historically had difficulties getting along. Pip hasn’t respected Conda’s environment constraints, while Conda has been all too happy to clobber pip-installed software. It’s a mess. Conda 4.6.0 adds preview support for better interoperability. With this interoperability, Conda can use pip-installed packages to satisfy dependencies, and can even remove pip-installed software cleanly and replace them with Conda packages when appropriate. There’s still room for improvement before pip and Conda are hunky-dory BFFs, but we hope this is a good start. This feature is disabled by default right now because it can significantly impact Conda’s performance. If you’d like to try it, you can set this condarc setting:
conda config --set pip_interop_enabled True
So, the way to get PyPI packages into conda (at the time of writing this) seems to be:
pip install <package>
If you want conda to replace the PyPI packages with its own (where possible), just run:
conda update --all
Given that the above setting is made. Conda marks its own channels as higher priority than pip, thus packages will be replaced.