conda

问题 When I try to Activate "conda activate tensorflow_cpu" conda activate tensorflow_cpu Error : Failed to create temp directory "C:\Users\user\AppData\Local\Temp\conda-\" 回答1: It is due to a bug from conda developers. The bug is the temp path is having names with spaces, so to overcome please reassign the Env Variables TEMP, TMP. (for windows) go to environment variables In "User Variables for " section look for TEMP, TMP double click on TMP and in "variable value", type "C:\conda_tmp" similarly

问题 Is there a command to display active conda channels? I know I can search for the .condarc file to check for any added channels. However, there are two problems with this approach: The default channels might change on newer version of conda . For example, since conda 4.7 , the free channel has been removed from the default channels. Another example is the addition of channel main in conda 4.3.27 . No unified way to display channels (that is open file contents) in different OS. Therefore, a

问题 Sometimes I need to install a pip-only package into a conda environment. If I install the package using pip install , then all the dependencies for that package are installed using pip, even if they are available to conda . I would like to install as many packages as possible through conda, so currently I use a hack to get the list of package dependencies through pip, search for all of them on conda, conda install the ones that are found, and then go through with the pip install . Am I right

问题 Sometimes I need to install a pip-only package into a conda environment. If I install the package using pip install , then all the dependencies for that package are installed using pip, even if they are available to conda . I would like to install as many packages as possible through conda, so currently I use a hack to get the list of package dependencies through pip, search for all of them on conda, conda install the ones that are found, and then go through with the pip install . Am I right

问题 Sometimes I need to install a pip-only package into a conda environment. If I install the package using pip install , then all the dependencies for that package are installed using pip, even if they are available to conda . I would like to install as many packages as possible through conda, so currently I use a hack to get the list of package dependencies through pip, search for all of them on conda, conda install the ones that are found, and then go through with the pip install . Am I right

问题 Python / Anaconda newbie here. I am trying to work with packages and multiple environments. Right now I'm trying to install the package "ibm_watson" which is available through PyPi. Here's the story so far: conda skeleton pypi ibm_watson This worked, but it generated a meta.yaml which conda-build didn't like. It had a version string ">=2.0," with an extraneous comma. I had to hand edit that out. Where is that error happening? Anyway, I got past that. Here's where I'm stuck now. conda_build

问题 Anaconda has different packages for Tensorflow with and without GPU support. In particular, to install Tensorflow with GPU, you should run: conda install tensorflow-gpu While for the non-GPU version, you should install: conda install tensorflow By checking the version of the installed package, conda installs Tensorflow version 2.1. But as of today the latest version of Tensorflow is 2.3. Furthermore, as can be seen in the Tensorflow officla documentation, the latest version can be installed

问题 from cryptography.hazmat.bindings._openssl import ffi, lib ImportError: DLL load failed: The operating system cannot run %1. i installed scrapy through conda by conda install scrapy -c conda-forge 回答1: me too i meet this problem under windows 10 , after many search on many websites . i found this solution : download this : https://github.com/python/cpython-bin-deps/tree/openssl-bin-1.0.2k zip the file and copy the folder (amd or win ) in your sys path : C:\Windows\SysWOW64 and voila every

问题 I currently use Conda to capture my dependencies for a python project in a environment.yml . When I build a docker service from the project I need to reinstall these dependencies. I would like to get around, having to add (mini-)conda to my docker image. Is it possible to parse environment.yml with pip/pipenv or transform this into a corresponding requirements.txt ? (I don't want to leave conda just yet, as this is what MLflow captures, when I log models) 回答1: Nope. conda automatically

问题 I currently use Conda to capture my dependencies for a python project in a environment.yml . When I build a docker service from the project I need to reinstall these dependencies. I would like to get around, having to add (mini-)conda to my docker image. Is it possible to parse environment.yml with pip/pipenv or transform this into a corresponding requirements.txt ? (I don't want to leave conda just yet, as this is what MLflow captures, when I log models) 回答1: Nope. conda automatically