Anaconda-and-conda

1.Package Manager

to install numpy

conda install package_name 
eg:conda install numpy

install multiple packages

eg:conda install numpy scipy pandas

specify which version of a package you want

conda install numpy=1.10

Conda also automatically installs dependencies for you.
For example scipy depends on numpy, it uses and requires numpy. If you install just scipy (conda install scipy), Conda will also install numpy if it isn’t already installed.

To uninstall

conda remove package_name

To update

conda update package_name

update all packages

conda update --all

list installed packages

conda list

don’t know the exact name of the package, searching with

conda search search_term

For example, I know I want to install Beautiful Soup, but I’m not sure of the exact package name. So, I try conda search beautifulsoup.

2.Managing environments

to create an environment named my_env and install numpy in it

conda create -n my_env numpy

to remove env

conda env remove -n env_name

to list all environments

conda info --envs or conda env list

entering an environment

source activate my_env（Windows环境下不需要source）

source deactivate my_env（Windows环境下不需要source）

when it comes to env migration, we’d better use pip

pip freeze > requirements.txt pip install -r requirements.txt

参考链接：

anaconda 常用指令

Anaconda使用入门