Anaconda与conda区别
conda可以理解为一个工具，也是一个可执行命令，其核心功能是包管理与环境管理。包管理与pip的使用类似，环境管理则允许用户方便地安装不同版本的python并可以快速切换。 conda的设计理念——conda将几乎所有的工具、第三方包都当做package对待，甚至包括python和conda自身 Anaconda则是一个打包的集合，里面预装好了conda、某个版本的python、众多packages、科学计算工具等等
1 查找虚拟环境
conda info --envs 或者或** conda info -e**
2 选择虚拟环境
source activate py35_pytorch
3 退出虚拟环境
source deactivate py35_pytorch
4 安装librosa
conda install -c conda-forge librosa
1.首先，我们可以检查以查看哪些版本的Python可供我们使用：
conda search "^python$"
您将收到包含您可以定位的不同版本的Python的输出，包括Python3和Python2版本。由于我们在本教程中使用Anaconda与Python 3，您将只能访问Python 3版本的软件包。
让我们使用最新版本的Python 3创建一个环境。我们可以通过将版本3分配给python参数来实现。 我们将调用环境py2-env ，但是您可能希望为您的环境使用更具描述性的名称，特别是如果您使用环境来访问多个版本的Python。
conda create --name py35_pytorch python=3.5
我们将收到输出，包含有关下载内容和要安装的软件包的信息，然后提示您继续执行y或n 。 只要你同意，键入y 。
conda实用程序现在将获取环境的包，并让它知道什么时候完成。
2.windows可以通过键入以下内容激活新环境：
默认路径为C:\Users\asus\Anaconda3\envs\py2-env
To activate this environment, use: > activate py35_pytorch To deactivate this environment, use: > deactivate py35_pytorch
ubuntu通过以下激活或停用
source activate my_envsource deactivate
3.此外,你可以通过以下命令,将虚拟环境安装到指定路径
conda create --prefix=D:\python36\py36 python=3.6
路径D:\python36是先建好的文件夹，py36是需要安装的虚拟环境名称。请注意，安装完成后，虚拟环境的全称包含整个路径，为D:\python36\py36。激活指定路径下的虚拟环境的命令如下：
activate D:\python36\py36
想要删除指定路径下的虚拟环境，使用如下的命令：
conda remove --prefix=D:\python36\py36 --all
4.通过以下命令查看已建好的环境
conda info --envs
5.对虚拟环境中安装额外的包。
使用命令conda install -n your_env_name [package]即可安装package到your_env_name中,例如numpy ：
conda install --name py2-env python=3.5 numpy
6.如果你知道你想创建一个numpy环境，你可以在conda conda create命令：
conda create --name my_env python=3.5 numpy
7.如果您不再处理特定项目，并且不再需要相关环境，则可以将其删除。为此，请键入以下内容：
conda remove --name py2-env --all
现在，当您键入conda info --envs命令时，您删除的环境将不再列出。
8.删除环境中的某个包。
使用命令conda remove --name package_name 即可。
9、设置国内镜像
如果需要安装很多packages，你会发现conda下载的速度经常很慢，因为Anaconda.org的服务器在国外。所幸的是，清华TUNA镜像源有Anaconda仓库的镜像，我们将其加入conda的配置即可：
添加Anaconda的TUNA镜像
conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
TUNA的help中镜像地址加有引号，需要去掉
设置搜索时显示通道地址
conda config --set show_channel_urls yes
$ export ENV_NAME="py35_pytorch" # or any other name you prefer$ conda create --name $ENV_NAME --file all_pkg_versions.txt python=3.5 anaconda$ source activate $ENV_NAME
补充：help
~$ conda create --helpusage: conda create [-h] [-y] [--dry-run] [-f] [--file FILE] [--no-deps] [--only-deps] [-m] [-C] [--use-local] [--offline] [--no-pin] [-c CHANNEL] [--override-channels] [-n ENVIRONMENT | -p PATH] [-q] [--copy] [-k] [--update-dependencies] [--no-update-dependencies] [--channel-priority] [--no-channel-priority] [--clobber] [--show-channel-urls] [--no-show-channel-urls] [--download-only] [--json] [--debug] [--verbose] [--clone ENV] [--no-default-packages] [package_spec [package_spec ...]]Create a new conda environment from a list of specified packages. To use the created environment, use 'source activate envname' look in that directory first. This command requires either the -n NAME or -p PREFIX option. Options: positional arguments: package_spec Packages to install or update in the conda environment.optional arguments: -h, --help Show this help message and exit. -y, --yes Do not ask for confirmation. --dry-run Only display what would have been done. -f, --force Force install (even when package already installed). --file FILE Read package versions from the given file. Repeated file specifications can be passed e.g. --file=file1 --file=file2). --no-deps Do not install, update, remove, or change dependencies. This WILL lead to broken environments and inconsistent behavior. Use at your own risk --only-deps Only install dependencies. -m, --mkdir Create the environment directory if necessary. -C, --use-index-cache Use cache of channel index files, even if it has expired. --use-local Use locally built packages. --offline Offline mode, don't connect to the Internet. --no-pin Ignore pinned file. -c CHANNEL, --channel CHANNEL Additional channel to search for packages. These are URLs searched in the order they are given (including file:// for local directories). 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, and 'system' to get the system packages, which also takes .condarc into account. You can also use any name and the .condarc channel_alias value will be prepended. The default channel_alias is http://conda.anaconda.org/. --override-channels Do not search default or .condarc channels. Requires --channel. -n ENVIRONMENT, --name ENVIRONMENT Name of environment. -p PATH, --prefix PATH Full path to environment prefix. -q, --quiet Do not display progress bar. --copy Install all packages using copies instead of hard- or soft-linking. -k, --insecure Allow conda to perform "insecure" SSL connections and transfers. Equivalent to setting 'ssl_verify' to 'false'. --update-dependencies, --update-deps Update dependencies. Overrides the value given by `conda config --show update_deps`. --no-update-dependencies, --no-update-deps Don't update dependencies. Overrides the value given by `conda config --show update_deps`. --channel-priority, --channel-pri, --chan-pri Channel priority takes precedence over package version. Overrides the value given by `conda config --show channel_priority`. --no-channel-priority, --no-channel-pri, --no-chan-pri Package version takes precedence over channel priority. Overrides the value given by `conda config --show channel_priority`. --clobber Allow clobbering of overlapping file paths within packages, and suppress related warnings. --show-channel-urls Show channel urls. Overrides the value given by `conda config --show show_channel_urls`. --no-show-channel-urls Don't show channel urls. Overrides the value given by `conda config --show show_channel_urls`. --download-only Solve an environment and ensure package caches are populated, but exit prior to unlinking and linking packages into the prefix. --json Report all output as json. Suitable for using conda programmatically. --debug Show debug output. --verbose, -v Use once for info, twice for debug, three times for trace. --clone ENV Path to (or name of) existing local environment. --no-default-packages Ignore create_default_packages in the .condarc file. Examples: conda create -n myenv sqlite
