•  


GitHub - conda/conda: A system-level, binary package and environment manager running on all major operating systems and platforms.
Skip to content
/ conda Public

A system-level, binary package and environment manager running on all major operating systems and platforms.

License

Notifications You must be signed in to change notification settings

conda/conda

Repository files navigation

Conda Logo

Tests (GitHub Actions) Codecov Status CodSpeed Performance Benchmarks latest release version

Conda is a cross-platform, language-agnostic binary package manager. It is the package manager used by Anaconda 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 .

Installation

Conda is a part of the Anaconda Distribution . Use Miniconda to bootstrap a minimal installation that only includes conda and its dependencies.

Updating conda

To update conda to the newest version, use the following command:

$ conda update -n base conda

Tip

It is possible that conda update does not install the newest version if the existing conda version is far behind the current release. In this case, updating needs to be done in stages.

For example, to update from conda 4.12 to conda 23.10.0 , conda 22.11.1 needs to be installed first:

$ conda install -n base conda=22.11.1
$ conda update conda

Getting Started

If you install the Anaconda Distribution, you will already have hundreds of packages installed. You can see what packages are installed by running:

$ conda list

to see all the packages that are available, use:

$ conda search

and to install a package, use

$ conda install 
<
package-name
>

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 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 PyTorch, you would run:

$ conda create --name ml-project pytorch

This creates an environment called ml-project with the latest version of PyTorch, and its dependencies.

We can now activate this environment:

$ conda activate ml-project

This puts the bin directory of the ml-project 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:

$ conda deactivate

Building Your Own Packages

You can easily build your own packages for conda, and upload them to 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 . See AnacondaRecipes for the recipes that make up the Anaconda Distribution and defaults channel. Conda-forge and Bioconda are community-driven conda-based distributions.

To upload to anaconda.org, create an account. Then, install the anaconda-client and login:

$ conda install anaconda-client
$ anaconda login

Then, after you build your recipe:

$ conda build 
<
recipe-dir
>

you will be prompted to upload to anaconda.org.

To add your anaconda.org channel, or other's channels, to conda so that conda install will find and install their packages, run:

$ conda config --add channels https://conda.anaconda.org/username

(replacing username with the username of the person whose channel you want to add).

Getting Help

Contributing

open in gitpod for one-click development

Contributions to conda are welcome. See the contributing documentation for instructions on setting up a development environment.

- "漢字路" 한글한자자동변환 서비스는 교육부 고전문헌국역지원사업의 지원으로 구축되었습니다.
- "漢字路" 한글한자자동변환 서비스는 전통문화연구회 "울산대학교한국어처리연구실 옥철영(IT융합전공)교수팀"에서 개발한 한글한자자동변환기를 바탕하여 지속적으로 공동 연구 개발하고 있는 서비스입니다.
- 현재 고유명사(인명, 지명등)을 비롯한 여러 변환오류가 있으며 이를 해결하고자 많은 연구 개발을 진행하고자 하고 있습니다. 이를 인지하시고 다른 곳에서 인용시 한자 변환 결과를 한번 더 검토하시고 사용해 주시기 바랍니다.
- 변환오류 및 건의,문의사항은 juntong@juntong.or.kr로 메일로 보내주시면 감사하겠습니다. .
Copyright ⓒ 2020 By '전통문화연구회(傳統文化硏究會)' All Rights reserved.
 한국   대만   중국   일본