anaconda安装和使用总结

 

1.anaconda下载

https://www.anaconda.com/products/distribution

2.anaconda更新清华镜像源

• anaconda界面→file→preferences→configure conda
• 清空复制粘接以下内容

channels:
  - defaults
show_channel_urls: true
default_channels:
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r
  - https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2
custom_channels:
  conda-forge: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  msys2: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  bioconda: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  menpo: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  pytorch: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  pytorch-lts: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud
  simpleitk: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud

anaconda | 镜像站使用帮助 | 清华大学开源软件镜像站 | Tsinghua Open Source Mirror

3.anaconda更新命令

• base环境

conda update conda
conda update anaconda
conda update python
conda update --all

4.anaconda新建环境

• base环境
• 新建环境

conda create -n miaomiao python==x.x.x

• 激活环境

conda activate miaomiao

• 删除环境

conda remove --name miaomiao --all

5. 配置jupyter

• 在base环境下安装
• 安装ipykernel

conda install ipykernel

• 配置jupyter

python -m ipykernel install --user --name miaomiao

6.akshere命令

       https://akshare.akfamily.xyz/installation.html

• 在base环境下安装
• 安装

pip install akshare -i http://mirrors.aliyun.com/pypi/simple/ --trusted-host=mirrors.aliyun.com  --user  --upgrade

• 升级akshere

pip install akshare --upgrade -i https://pypi.org/simple

•  常用股票命令

　　https://akshare.akfamily.xyz/data/stock/stock.html

7. talib安装

• 在base环境下安装
• talib安装教程：https://www.bilibili.com/read/cv13959183
• 手动教程如下：

　　https://www.lfd.uci.edu/~gohlke/pythonlibs/#ta-lib

　　放入指定目录安装：

pip install TA_Lib-0.4.18-cp38-cp38-win_amd64.whl

　代码进入目录安装

pip install D:\my_packages\ TA_Lib-0.4.17-cp37-cp37m-win_amd64.whl

 8.miaomiao环境安装程序

• 管理员权限打开anaconda，切换miaomiao环境
• 安装jupyterlab
• 安装powershell prompt

9.启动jupyterlab

• 进入base环境，点击jupyterlab

 

标签：总结,mirrors,anaconda,conda,tsinghua,https,edu,安装
来源： https://www.cnblogs.com/procorossoscs/p/16492540.html