前言

官网：https://www.anaconda.com/
下载页面： https://www.anaconda.com/download （巨慢|还是访问tuna来下载吧）
清华大学开源软件镜像站：https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/

内容

安装很简单 | 下载完应用程序后，一步一步安装即可，切记一定要记得勾选写入path哦，不然需要自己配置环境变量

命令提示

PS C:\Users\WangYang> conda --help
usage: conda-script.py [-h] [--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.
  --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
    build             Build conda packages from a conda recipe.
    clean             Remove unused packages and caches.
    compare           Compare packages between conda environments.
    config            Modify configuration values in .condarc.
    content-trust     See `conda content-trust --help`.
    convert           Convert pure Python packages to other platforms (a.k.a., subdirs).
    create            Create a new conda environment from a list of specified packages.
    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.
    env               See `conda env --help`.
    index             Update package index metadata files. Pending deprecation, use https://github.com/conda/conda-
                      index instead.
    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`.
    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.
    verify            See `conda verify --help`.

查看某一命令的帮助

PS C:\Users\WangYang> conda remove --help
usage: conda-script.py remove [-h] [-n ENVIRONMENT | -p PATH] [-c CHANNEL] [--use-local] [--override-channels]
                              [--repodata-fn REPODATA_FNS] [--experimental {jlap,lock}] [--all] [--features]
                              [--force-remove] [--no-pin]
                              [--solver {classic,libmamba} | --experimental-solver {classic,libmamba}] [-C] [-k]
                              [--offline] [--json] [-v] [-q] [-d] [-y] [--dev]
                              [package_name ...]

Remove a list of packages from a specified conda environment.
"Use `--all` flag to remove all packages and the environment itself."

This command will also remove any package that depends on any of the
specified packages as well---unless a replacement can be found without
that dependency. If you wish to skip this dependency checking and remove
just the requested packages, add the '--force' option. Note however that
this may result in a broken environment, so use this with caution.

positional arguments:
  package_name          Package names to remove from the environment.

options:
  -h, --help            Show this help message and exit.
  --dev                 Use `sys.executable -m conda` in wrapper scripts instead of CONDA_EXE. This is mainly for use
                        during tests where we test new conda sources against old Python versions.

Target Environment Specification:
  -n ENVIRONMENT, --name ENVIRONMENT
                        Name of environment.
  -p PATH, --prefix PATH
                        Full path to environment location (i.e. prefix).

Channel Customization:
  -c CHANNEL, --channel CHANNEL
                        Additional channel to search for packages. These are URLs searched in the order they are given
                        (including local directories using the 'file://' syntax or simply a path like
                        '/home/conda/mychan' or '../mychan'). Then, the defaults or channels from .condarc are
                        searched (unless --override-channels is given). You can use 'defaults' to get the default
                        packages for conda. You can also use any name and the .condarc channel_alias value will be
                        prepended. The default channel_alias is https://conda.anaconda.org/.
  --use-local           Use locally built packages. Identical to '-c local'.
  --override-channels   Do not search default or .condarc channels. Requires --channel.
  --repodata-fn REPODATA_FNS
                        Specify file name of repodata on the remote server where your channels are configured or
                        within local backups. Conda will try whatever you specify, but will ultimately fall back to
                        repodata.json if your specs are not satisfiable with what you specify here. This is used to
                        employ repodata that is smaller and reduced in time scope. You may pass this flag more than
                        once. Leftmost entries are tried first, and the fallback to repodata.json is added for you
                        automatically. For more information, see conda config --describe repodata_fns.
  --experimental {jlap,lock}
                        jlap: Download incremental package index data from repodata.jlap; implies 'lock'. lock: use
                        locking when reading, updating index (repodata.json) cache.

Solver Mode Modifiers:
  --all                 Remove all packages, i.e., the entire environment.
  --features            Remove features (instead of packages).
  --force-remove, --force
                        Forces removal of a package without removing packages that depend on it. Using this option
                        will usually leave your environment in a broken and inconsistent state.
  --no-pin              Ignore pinned package(s) that apply to the current operation. These pinned packages might come
                        from a .condarc file or a file in <TARGET_ENVIRONMENT>/conda-meta/pinned.
  --solver {classic,libmamba}
                        Choose which solver backend to use.
  --experimental-solver {classic,libmamba}
                        `--experimental-solver` is pending deprecation and will be removed in 24.3. Use `--solver`
                        instead.

Networking Options:
  -C, --use-index-cache
                        Use cache of channel index files, even if it has expired. This is useful if you don't want
                        conda to check whether a new version of the repodata file exists, which will save bandwidth.
  -k, --insecure        Allow conda to perform "insecure" SSL connections and transfers. Equivalent to setting
                        'ssl_verify' to 'false'.
  --offline             Offline mode. Don't connect to the Internet.

Output, Prompt, and Flow Control Options:
  --json                Report all output as json. Suitable for using conda programmatically.
  -v, --verbose         Can be used multiple times. Once for INFO, twice for DEBUG, three times for TRACE.
  -q, --quiet           Do not display progress bar.
  -d, --dry-run         Only display what would have been done.
  -y, --yes             Sets any confirmation values to 'yes' automatically. Users will not be asked to confirm any
                        adding, deleting, backups, etc.

Examples:

Remove the package 'scipy' from the currently-active environment::

    conda remove scipy

Remove a list of packages from an environemnt 'myenv'::

    conda remove -n myenv scipy curl wheel

Remove all packages from environment `myenv` and the environment itself::

    conda remove -n myenv --all

创建环境

# conda create -n <env name>
conda create -n test

查看已有环境

conda info --envs

激活环境

# activate <env name>
activate test

退出环境

conda deactivate

删除环境

conda remove -n test --all

使用

windows 环境下的演示