conda、pip是Python的包管理器,用来管理pytorch、tensorflow等第三方库,比如下载、安装、更新等。另外conda还用来创建虚拟环境,和enev库类似 Anaconda是专门用于数据科学的Python发行版本(垂直版),它包含了Python、conda、上百个数据科学第三方库等,是一个大而全的Python数据科学百
Checklist I added a descriptive title I searched open reports and couldn't find a duplicate What happened? When creating a conda environment from yml that includes pip requirements the pip upgrade flag (-U) is passed by default. It shoul...
Checklist I added a descriptive title I searched for other issues and couldn't find a solution or duplication I already searched in Google and didn't find any good information or help I looked at the docs and didn't see anything to help ...
ERROR: Could not find a version that satisfies the requirement matplotlib ERROR: No matching distribution found for matplotlib 解决方法: (1)首先设置国外镜像源,排除网络的问题 (2)如果还是不行就 先安装pip install pyparsing 然后在安装pip install matplotlib ...
Hello, TypeError: LoadLibrary() argument 1 must be str, not None I receive the above error code anytime I try to install a package...
And more generally, if I know what Azure SDK for Python module I want, or what PyPI package it's in, how can I find out which microsoft-channel Conda package it's in? I haven't been able to find a list of which module is in which Conda package anywhere. ...
And more generally, if I know what Azure SDK for Python module I want, or what PyPI package it's in, how can I find out which microsoft-channel Conda package it's in? I haven't been able to find a list of which module is in which Conda package anywhere. ...
二、pip切换为清华镜像源 方法1. cmd里一条命令直接换源,强力推荐 pip configsetglobal.index-url https://pypi.tuna.tsinghua.edu.cn/simple 方法2. 在user目录中创建一个pip目录,如:C:\Users\xx\pip,新建文件pip.ini,内容如下: [global]index-url=https://pypi.tuna.tsinghua.edu.cn/simple ...
Like Pip, Conda can install packages, and as we go forward, we will discuss the pros and cons of each as a package management tool. Like the Python venv module, Conda lets you create and manage isolated environments and save the dependencies for that environments with other developers. Finall...
It is also more tricky when you are mixing package managers (pip and conda). My recommendation, then, is to create an environment that specifies all the version requirements that you are aware of. For example: $ conda create -n unityml -c intel python=3.6 numpy=1.14 scipy pandas ...