miniconda

来源： https://stackoverflow.com/questions/53029568/how-do-i-install-hunspell-python-package

问题 I'm trying to build a conda package with conda build . . I'm getting quite far, but after the tests, I get this output: Renaming work directory, C:\ProgramData\Miniconda3\envs\p37\conda-bld\<package-name>_1596716574942\work to C:\ProgramData\Miniconda3\envs\p37\conda-bld\<package-name>_1596716574942\work_moved_<package-name>-1.1.1-py38_0_win-64 Traceback (most recent call last): File "C:\ProgramData\Miniconda3\envs\p37\lib\shutil.py", line 566, in move os.rename(src, real_dst) PermissionError

问题 I have had problems here, here and there installing tensorflow 2 over the last year or so. So I am trying miniconda. I have an amd radeon hd 6670 and an amd radeon hd 6450. I just downloaded miniconda and made an environment and did a pip install --upgrade tensorflow in an miniconda prompt on windows 8.1 and got tensorflow 2.2. When I try to import tensorflow I get the stack trace below. I did download visual studio to get the latest redistributebles (I think). seems like this occurs near

问题 I have had problems here, here and there installing tensorflow 2 over the last year or so. So I am trying miniconda. I have an amd radeon hd 6670 and an amd radeon hd 6450. I just downloaded miniconda and made an environment and did a pip install --upgrade tensorflow in an miniconda prompt on windows 8.1 and got tensorflow 2.2. When I try to import tensorflow I get the stack trace below. I did download visual studio to get the latest redistributebles (I think). seems like this occurs near

问题 I have had problems here, here and there installing tensorflow 2 over the last year or so. So I am trying miniconda. I have an amd radeon hd 6670 and an amd radeon hd 6450. I just downloaded miniconda and made an environment and did a pip install --upgrade tensorflow in an miniconda prompt on windows 8.1 and got tensorflow 2.2. When I try to import tensorflow I get the stack trace below. I did download visual studio to get the latest redistributebles (I think). seems like this occurs near

问题 Importing the numpy c-extensions failed I installed python 3.7 on my windows system to work on visual studio code . Everything was going well, including using the libraries. I uninstalled python using the uninstalling program tool in control panel . And installed Miniconda 3 . I checked that everything works well, and then installed the numpy library using conda install numpy in my terminal GitBash on windows 10 , then checked it on my visial studio code, but it failed to start. Reproducing

问题 In order to improve reproducibly across my team I have exported a conda environment file in a newly created repository running conda env export > environment.yml . The idea is for my colleagues to download the repo and run conda env create -f environment.yml and be ready to use the code. However, some of my colleagues pointed out to me that at the bottom of the yaml file there is: - readline=7.0=hc1231fa_4 - requests=2.18.4=py35h0d65e6b_1 - setuptools=38.5.1=py35_0 - six=1.11.0=py35h39a4c60_1

问题 I'm getting this error when trying to create new environment. IE conda create -n jupyter python=3.6 -y Preparing transaction: done Verifying transaction: failed CondaVerificationError: The package for ncurses located at /Users/yaroslavvb/anaconda3/pkgs/ncurses-6.1-h0a44026_0 appears to be corrupted. The path 'share/terminfo/69/iTerm.app' specified in the package manifest cannot be found. CondaVerificationError: The package for ncurses located at /Users/yaroslavvb/anaconda3/pkgs/ncurses-6.1

问题 I am using miniconda 4.5.1 on 4.13.0-37-generic GNU/Linux I am also using tmux, if that's useful. When I activate my environment by running source activate ___ conda fails to set up the paths, meaning my python and pip commands are still mapped to the conda regular (or whatever the name is) python commands, not those from my environment. I get the (env-name) tag before my terminal prompt, as though it has been activated. I have to activate, then deactivate, then reactivate, to force this to

问题 I had installed Anaconda on my system before I knew the difference between Anaconda and Miniconda. I would like to downsize to Miniconda since I don't want the bloat of Anaconda, but I already have a handful of environments set up. So far the only way I can think of migrating is to completely get rid of everything right now, install Miniconda, and then recreate my environments by hand, but that seems quite arduous. Is there a smarter way of going about this? 回答1: I agree with @darthbith: