This worked just the other day but now VS Code cannot find my conda environment named prod. Do not know what has changed. I have Visual Studio Code version 1.46.1. See full details below. From terminal (the windows cmd shell from within ...
打开终端应用程序(Terminal)。 输入以下命令以手动配置Conda环境: conda init zsh 重启终端,再次输入conda命令,查看是否能够正常启动Conda环境。方法三:重置VSCode默认设置 打开VSCode的设置界面。 在搜索框中输入“terminal.integrated.inheritEnv”,找到并点击“编辑 in settings.json”。 将“terminal.integrated.inheritEn...
注意,光到envs这一层可不行,要继续进入 envs/env_name/bin/python 最后,可以重启下vscode,然后就可以看到了,!!!参考大佬的这篇博客,VScode连接远程服务器的conda环境总是连不上_vscode链接服务器后检索不到本地aconoda编译-CSDN博客 发布于 2024-03-16 12:29・IP 属地天津 ...
Quick workaround:cd /opt && sudo ln -s homebrew conda(since/opt/conda/bin/condais matched by the patterns). A quick solution would be to add a pattern for Homebrew, and a better one would be to look for Conda in a way that is independent of the way it is installed. ...
工作环境是VSCode+Anaconda,于是按照official instructions配置了python.pythonPath为conda的env里的python路径。 但使用VSCode的Run/Debug会遇到numpy import error: Traceback(most recent call last): File"D:\Anaconda3\envs\open-mmlab\lib\site-packages\numpy\core\__init__.py", line 17, in <module> ...
查看是否安装成功输入conda -V pytorch环境的配置 创建虚拟环境conda create -n pytorch python=3.9 (...
新的开发环境会被默认安装在你 conda 目录下的 envs 文件目录下。3. 激活环境 activate xiaolvshijie ...
If I run an old environment created under an older conda version then everything runs as normal and data viewer works fine. Installing scikit-learn (which wsn't in the. old env) didn't cause the pandas error to come up. I would use this however, I cannot access my pickle data file...
So then that is first thing you should check: run conda env list at your default terminal outside of VS Code. Next, what terminal is that you are using? bash? zsh? Whatever terminal you are using outside of VS Code, (which you used for installing and configuring conda for instance) ...
conda clean -i //清除索引缓存,保证用的是镜像站提供的索引。 1. 再输入代码如下所示,进行测试,envname是环境名称,可以自定义 conda create -n envname numpy 1. 在随后弹出的两次【y/n】中都填y,回车确定。 若看到如下所示的代码,则代表已经成功替换为国内清华的镜像了 ...