跳转至

python 包管理器

UV

UV指南
uv python install 3.12     # 安装 Astral-sh 版 python 
uv python uninstall 3.12   # 删除UV官方python

剖解并吃了PIP
uv run python -m ensurepip -U
uv run python -m pip install -U pip
uv run python -m pip install -U setuptools
 @github-releases[astral-sh/uv]
 @github-releases[astral-sh/python-build-standalone]

PIXI

PIXI指南
pixi add python  # 安装 couda python 
pixi init             # 初始化
pixi add <pack>       # 添加依赖
pixi remove <pack>    # 移除依赖
PIXI_HOME=E:\pixi\home       # 定义了 pixi 存放其全局数据的目录。
%PIXI_HOME%\config.toml      # PIXI_HOME 中的全局配置。
PIXI_CACHE_DIR=E:\pixi\cache # 缓存目录 - 存放 wheel/tar.gz/conda包 
pixi info -vvv               # 查找 pixi 查找配置文件的位置
default-channels = ["conda-forge", "nvidia", "pytorch"]

[pypi-config]
extra-index-urls = [
  "https://pypi.tuna.tsinghua.edu.cn/simple",
  "https://pypi.org/simple",
]
index-url = "https://mirrors.aliyun.com/pypi/simple"


[mirrors]
# 将所有镜像源合并到一个键名下
"https://conda.anaconda.org/conda-forge" = [
    "https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge",
    "https://mirrors.ustc.edu.cn/anaconda/cloud/conda-forge",
    "https://mirrors.aliyun.com/anaconda/cloud/conda-forge",
    "https://mirrors.cloud.tencent.com/anaconda/cloud/conda-forge",
    "https://mirrors.huaweicloud.com/repository/pypi-cloud/conda-forge",
    "https://mirrors.sjtug.sjtu.edu.cn/anaconda/cloud/conda-forge",
    "https://pypi.bajins.com/conda-forge"
]

# 其他通道的镜像源
"https://repo.anaconda.com/pkgs/main" = [
    "https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main",
    "https://mirrors.ustc.edu.cn/anaconda/pkgs/main"
]

"https://repo.anaconda.com/pkgs/r" = [
    "https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r"
]

# 如果需要添加 bioconda
"https://conda.anaconda.org/bioconda" = [
    "https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/bioconda",
    "https://mirrors.ustc.edu.cn/anaconda/cloud/bioconda"
]
 @github-releases[prefix-dev/pixi]