Python：数学建模与数据科学（Anaconda+VScode）--环境搭建-00

Anaconda

一、conda软件源

# 通过修改用户目录下的 .condarc 文件，Windows 用户无法直接创建名为 .condarc 的文件，可先执行 conda config --set show_channel_urls yes 生成该文件。
# 参考其它教程，main和free似乎是必须，其它的似乎是可选的。

# 清华源
ssl_verify: true
show_channel_urls: true
channels:
  - defaults
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

# 阿里源
ssl_verify: true
show_channel_urls: true
channels:
  - 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
  - https://mirrors.aliyun.com/anaconda/cloud/ursky
  - https://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
  - defaults
  
# 设置搜索时显示通道地址
conda config --set show_channel_urls yes
  
# 清除索引缓存，保证用的是镜像站提供的索引
conda clean -i

# 删除指定源
conda config --remove channels 源名称或链接 

# 恢复默认源
conda config --remove-key channels

# 查看源
conda config --show

#显示镜像通道
conda config --show channels

为什么推荐手动编辑配置文件呢？

二、pip源

# 临时修改
# 使用pip的时加参数 -i
pip install numpy -i https://mirrors.aliyun.com/pypi/simple/

国内常用源镜像地址：
清华：https://pypi.tuna.tsinghua.edu.cn/simple
阿里云：https://mirrors.aliyun.com/pypi/simple/
中国科技大学: https://pypi.mirrors.ustc.edu.cn/simple/
华中理工大学：https://pypi.hustunique.com/
山东理工大学：https://pypi.sdutlinux.org/ 
豆瓣：https://pypi.douban.com/simple/

# 永久修改
# 升级 pip 到最新的版本 (>=10.0.0) 后进行配置
pip install pip -U
pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple

# 长期使用也可以创建用户目录下的配置文件（Linux：~/.config/pip/pip.conf / Windows：C:\Users\用户名\AppData\Roaming\pip\pip.ini）
[global] 
index-url = https://pypi.tuna.tsinghua.edu.cn/simple #清华镜像
trusted-host = pypi.tuna.tsinghua.edu.cn #添加清华源为可信主机，要不然可能报错
disable-pip-version-check = true #取消pip版本检查，排除每次都报最新的
pip timeout = 120

pip与 conda的区别

pip 和 conda 的联系区别、安装包方法、换源方法

VScode

安装以下插件

Python
Pylance
Python Indent
Jupyter
Jupyter Keymap
Jupyter Notebook Renderers

1. 创建工作区文件夹

2. 选择python环境

3. 创建 hello.py 文件，输入以下示例

   msg = "Hello,World!"
   print(msg)
   

4. 点击运行成功，环境搭建成功