该所有者的项目
(.. NOTE: This file serves both as the README on GitHub and the index.html for
conda.pydata.org. If you update this file, be sure to cd to the web
directory and run make html; make live
.. image:: https://s3.amazonaws.com/conda-dev/conda_logo.svg
:alt: Conda Logo
.. image:: https://img.shields.io/circleci/project/github/conda/conda/master.svg?maxAge=900&label=Unix
:target: https://circleci.com/gh/conda/workflows/conda/tree/master
:alt: Unix tests (CircleCI)
.. image:: https://img.shields.io/appveyor/ci/ContinuumAnalyticsFOSS/conda/master.svg?maxAge=900&label=Windows
:target: https://ci.appveyor.com/project/ContinuumAnalyticsFOSS/conda
:alt: Windows tests (Appveyor)
.. image:: https://img.shields.io/codecov/c/github/conda/conda/master.svg?label=coverage
:alt: Codecov Status
:target: https://codecov.io/gh/conda/conda/branch/master
.. image:: https://img.shields.io/github/release/conda/conda.svg
:alt: latest release version
:target: https://github.com/conda/conda/releases
Conda is a cross-platform, language-agnostic binary package manager. It is the
package manager used by Anaconda <https://www.anaconda.com/distribution/>_ installations, but it may be
used for other systems as well. Conda makes environments first-class
citizens, making it easy to create independent environments even for C
libraries. Conda is written entirely in Python, and is BSD licensed open
source.
Conda is enhanced by organizations, tools, and repositories created and managed by
the amazing members of the conda community. Some of them can be found
here <https://github.com/conda/conda/wiki/Conda-Community>_.
Installation
Conda is a part of the Anaconda Distribution <https://repo.anaconda.com>.
Use Miniconda <https://conda.io/en/latest/miniconda.html> to bootstrap a minimal installation
that only includes conda and its dependencies.
Getting Started
If you install Anaconda, you will already have hundreds of packages
installed. You can see what packages are installed by running
.. code-block:: bash
$ conda list
to see all the packages that are available, use
.. code-block:: bash
$ conda search
and to install a package, use
.. code-block:: bash
$ conda install
The real power of conda comes from its ability to manage environments. In
conda, an environment can be thought of as a completely separate installation.
Conda installs packages into environments efficiently using hard links <https://en.wikipedia.org/wiki/Hard_link>_ by default when it is possible, so
environments are space efficient, and take seconds to create.
The default environment, which conda itself is installed into is called
base. To create another environment, use the conda create
command. For instance, to create an environment with the IPython notebook and
NumPy 1.6, which is older than the version that comes with Anaconda by
default, you would run
.. code-block:: bash
$ conda create -n numpy16 ipython-notebook numpy=1.6
This creates an environment called numpy16 with the latest version of
the IPython notebook, NumPy 1.6, and their dependencies.
We can now activate this environment, use
.. code-block:: bash
On Linux and Mac OS X
$ source activate numpy16
On Windows
activate numpy16
This puts the bin directory of the numpy16 environment in the front of the
PATH, and sets it as the default environment for all subsequent conda commands.
To go back to the base environment, use
.. code-block:: bash
On Linux and Mac OS X
$ source deactivate
On Windows
deactivate
Building Your Own Packages
You can easily build your own packages for conda, and upload them
to anaconda.org <https://anaconda.org>, a free service for hosting
packages for conda, as well as other package managers.
To build a package, create a recipe. Package building documentation is available
here <https://conda.io/projects/conda-build/en/latest/>.
See https://github.com/AnacondaRecipes for the recipes that make up the Anaconda Distribution
and defaults channel. Conda-forge <https://conda-forge.org/feedstocks/>_ and
Bioconda <https://github.com/bioconda/bioconda-recipes>_ are community-driven
conda-based distributions.
To upload to anaconda.org, create an account. Then, install the
anaconda-client and login
.. code-block:: bash
$ conda install anaconda-client
$ anaconda login
Then, after you build your recipe
.. code-block:: bash
$ conda build
you will be prompted to upload to anaconda.org.
To add your anaconda.org channel, or the channel of others to conda so
that conda install will find and install their packages, run
.. code-block:: bash
$ conda config --add channels https://conda.anaconda.org/username
(replacing username with the user name of the person whose channel you want
to add).
Getting Help
The documentation for conda is at https://conda.io/en/latest/. You can
subscribe to the conda mailing list <https://groups.google.com/a/continuum.io/forum/#!forum/conda>. The source
code and issue tracker for conda are on GitHub <https://github.com/conda/conda>.
Contributing
Contributions to conda are welcome. See the contributing <CONTRIBUTING.md>_ documentation
for instructions on setting up a development environment.