Anconda3 的使用

conda info  # 如下图，平台为64位。

set CONDA_FORCE_32BIT=1  # 1表示使能32位，0表示使用64位

# 1. 注意，需要先切换到 32 位平台，指定 Python 版本（如 python=3.x），并创建虚拟环境到指定路径conda create --prefix "C:UsersyeqinDesktoppython32FfromCondamy32env" python -c conda-forge# 2. 激活环境（用完整路径更安全）conda activate "C:UsersyeqinDesktoppython32FfromCondamy32env"# 3. 验证 Python 版本和平台架构是否正确python --versionpython -c "import platform; print(platform.architecture())"python# 4. 安装额外包（如有需求）conda install pefile -c conda-forge# 5.使用32位python环境pythonexit()# 6. 退出32位虚拟环境conda deactivate# 7. 删除环境（注意使用完整路径删除）conda remove --prefix "C:UsersyeqinDesktoppython32FfromCondamy32env" --all

# 安装包conda install numpy# 查看已安装包conda list# 卸载包conda remove numpy

# 更新 condaconda update conda# 更新 Anacondaconda update anaconda

5、编写代码块

6、运行

7、注册Kernal

如果kernal没有创建好的虚拟环境可选，可以通过注册kernal的方式增加选项。

# 前置条件，如果是32位系统环境，需要先切换到32位系统环境conda install ipykernelpython -m ipykernel install --user --name my32env --display-name "Python (32-bit)"

刷新界面使用。

也可以通过自动加载kernal的方式自动搜索，但不一定能搜出来32位python环境。

# 前置条件：需要切换到64位环境conda install nb_conda_kernels

重启Jupyter生效。

如果不能自动搜出来，还可以通过指令注册：

conda install -n base nb_conda_kernels  # base为环境名称

四、conda命令行汇总

1、命令行帮助文档

(C:UsersyeqinDesktoppython32FfromCondamy32env) C:Usersyeqin>conda -husage: conda-script.py [-h] [-v] [--no-plugins] [-V] COMMAND ...conda is a tool for managing and deploying applications, environments and packages.options:  -h, --help            Show this help message and exit.  -v, --verbose         Can be used multiple times. Once for detailed output, twice for INFO logging, thrice for DEBUG                        logging, four times for TRACE logging.  --no-plugins          Disable all plugins that are not built into conda.  -V, --version         Show the conda version number and exit.commands:  The following built-in and plugins subcommands are available.  COMMAND    activate            Activate a conda environment.    build               Build conda packages from a conda recipe.    clean               Remove unused packages and caches.    commands            List all available conda subcommands (including those from plugins). Generally only used by                        tab-completion.    compare             Compare packages between conda environments.    config              Modify configuration values in .condarc.    content-trust       Signing and verification tools for Conda    convert             Convert pure Python packages to other platforms (a.k.a., subdirs).    create              Create a new conda environment from a list of specified packages.    deactivate          Deactivate the current active conda environment.    debug               Debug the build or test phases of conda recipes.    develop             Install a Python package in 'development mode'. Similar to `pip install --editable`.    doctor              Display a health report for your environment.    export              Export a given environment    index               Update package index metadata files.    info                Display information about current conda install.    init                Initialize conda for shell interaction.    inspect             Tools for inspecting conda packages.    install             Install a list of packages into a specified conda environment.    list                List installed packages in a conda environment.    metapackage         Specialty tool for generating conda metapackage.    notices             Retrieve latest channel notifications.    pack                See `conda pack --help`.    package             Create low-level conda packages. (EXPERIMENTAL)    remove (uninstall)  Remove a list of packages from a specified conda environment.    rename              Rename an existing environment.    render              Expand a conda recipe into a platform-specific recipe.    repo                See `conda repo --help`.    repoquery           Advanced search for repodata.    run                 Run an executable in a conda environment.    search              Search for packages and display associated information using the MatchSpec format.    server              See `conda server --help`.    skeleton            Generate boilerplate conda recipes.    token               See `conda token --help`.    update (upgrade)    Update conda packages to the latest compatible version.

2、命令行使用方法汇总