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linux conda环境安装

文章目录

一、软件预准备
1. 软件下载

https://repo.anaconda.com/archive/index.html
在这里插入图片描述
或者,我们可以复制下载的链接,直接在服务器上下载,如:

wget -c https://repo.anaconda.com/archive/Anaconda3-2021.05-Linux-x86_64.sh
2. 安装conda

在conda文件的统计目录下输入命令安装,一路回车,直到他要求输入yes

bash Anaconda3-2021.05-Linux-x86_64.sh
3. 设置环境变量

配置环境变量,这里的export PATH填的是conda的bin文件地址,我是安装在家目录的所以是这样,前面一个命令是添加环境变量,后者是刷新bashrc

vim /etc/profile

在末尾添加环境变量

exportPATH=~/anaconda3/bin:$PATH
vim ~/.bashrc
exportPATH=~/anaconda3/bin:$PATH

刷新环境变量

source /etc/profile
source ~/.bashrc

然后conda -V要是正常就安装成功了
注:三种配置环境变量的方法

修改/etc/profile
修改.bashrc
直接在shell下用export命令修改

二、镜像源配置
2.1. conda配置
vim ~/.condarc

然后配置镜像,如

channels:
  - http://mirrors.aliyun.com/anaconda/cloud/stackless
  - https://mirrors.aliyun.com/anaconda/cloud/simpleitk
  - https://mirrors.aliyun.com/anaconda/cloud/rdkit
  - https://mirrors.aliyun.com/anaconda/cloud/rapidsai
  - https://mirrors.aliyun.com/anaconda/cloud/qiime2
  - https://mirrors.aliyun.com/anaconda/cloud/pyviz
  - https://mirrors.aliyun.com/anaconda/cloud/pytorch3d
  - https://mirrors.aliyun.com/anaconda/cloud/pytorch-test
  - https://mirrors.aliyun.com/anaconda/cloud/pytorch
  - https://mirrors.aliyun.com/anaconda/cloud/psi4
  - https://mirrors.aliyun.com/anaconda/cloud/plotly
  - https://mirrors.aliyun.com/anaconda/cloud/omnia
  - https://mirrors.aliyun.com/anaconda/cloud/ohmeta
  - https://mirrors.aliyun.com/anaconda/cloud/numba
  - https://mirrors.aliyun.com/anaconda/cloud/msys2
  - https://mirrors.aliyun.com/anaconda/cloud/mordred-descriptor
  - https://mirrors.aliyun.com/anaconda/cloud/menpo
  - https://mirrors.aliyun.com/anaconda/cloud/matsci
  - https://mirrors.aliyun.com/anaconda/cloud/intel
  - https://mirrors.aliyun.com/anaconda/cloud/idaholab
  - https://mirrors.aliyun.com/anaconda/cloud/fermi
  - https://mirrors.aliyun.com/anaconda/cloud/fastai
  - https://mirrors.aliyun.com/anaconda/cloud/dglteam
  - https://mirrors.aliyun.com/anaconda/cloud/deepmodeling
  - https://mirrors.aliyun.com/anaconda/cloud/conda-forge
  - https://mirrors.aliyun.com/anaconda/cloud/caffe2
  - https://mirrors.aliyun.com/anaconda/cloud/c4aarch64
  - https://mirrors.aliyun.com/anaconda/cloud/bioconda
  - https://mirrors.aliyun.com/anaconda/cloud/biobakery
  - https://mirrors.aliyun.com/anaconda/cloud/auto
  - https://mirrors.aliyun.com/anaconda/cloud/Paddle
  - https://mirrors.aliyun.com/anaconda/pkgs/r
  - https://mirrors.aliyun.com/anaconda/pkgs/msys2
  - https://mirrors.aliyun.com/anaconda/pkgs/main
  - https://mirrors.aliyun.com/anaconda/pkgs/free
show_channel_urls: true

ssl_verify: true
allow_conda_downgrades: true
2.2. pip配置
mkdir ~/.pip
cd ~/.pip/
vim pip.conf

然后配置镜像,如:

[global] 
index-url = http://mirrors.aliyun.com/pypi/simple/ 
[install] 
trusted-host=mirrors.aliyun.com
2.3. chatglm-6b专用
# 创建虚拟环境
conda create -n ChatGLM python==3.10
conda init bash# 换一个窗口执行
conda activate ChatGLM
2.3. 常用命令
# 创建虚拟环境
conda create -n name python==3.7# 激活环境
conda activate name

# 退出环境
conda deactivate

# 查看虚拟环境
conda info --envs

# 删除虚拟环境
conda remove -n name --all

# 删除所有的安装包及cache(索引缓存、锁定文件、未使用过的包和tar包)
conda clean -y --all
 
# 删除pip的缓存rm -rf ~/.cache/pip 
标签: linux conda python

本文转载自: https://blog.csdn.net/weixin_40816738/article/details/130684650
版权归原作者 gblfy 所有, 如有侵权,请联系我们删除。

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