Conda

Conda
當前版本	24.9.2（2024年10月16日；穩定版本）;
原始碼庫	github.com/conda/conda;
程式語言	Python
許可協議	BSD
網站	conda.io/

Conda是一個開源^[2]跨平台^[3]語言無關（英語：language-agnostic）^[4]的包管理與環境管理系統。^[5]^[6]由「連續統分析」（Continuum Analytics）基於BSD許可證發佈。^[2]^[7]^[8]^[9]^[10]^[11]

Conda允許用戶方便地安裝不同版本的二進制軟件包與該計算平台需要的所有庫。還允許用戶在不同版本的包之間切換、從一個軟件倉庫下載包並安裝。

Conda是用Python語言開發，但能管理其他程式語言的項目（如R語言^[4]），包括多語言項目。^[4] Conda可安裝Python語言的包，^[12]類似於其他基於Python的跨平台包管理器（如wheel^[13]或pip）。

一些基於Conda的工具軟件：

Bioconda，用於計算生物學。^[14]^[15]
Anaconda
Miniconda^[16]
Anaconda Repository.^[17]

參考文獻

^ Release 24.9.2. 2024年10月16日 [2024年10月21日].
^ ^2.0 ^2.1 Conda. pydata.org. [9 April 2015]. （原始內容存檔於2016-11-20）.
^ Building Conda Packages for Multiple Operating Systems. Pydannt. 29 January 2015 [9 April 2015]. （原始內容存檔於2015-04-11）.
^ ^4.0 ^4.1 ^4.2 Doig, Christine. Conda for Data Science. 21 May 2015 [16 Jun 2015]. （原始內容存檔於2015-06-16）. Conda works with Linux, OSX, and Windows, and is language agnostic, which allows us to use it with any programming language or even multi-language projects.
^ Gorelick (Author), Micha; Ozsvald, Ian. High Performance Python: Practical Performant Programming for Humans 1st. O'Reilly Media. September 2014: 370 [2019-04-19]. ISBN 1449361595. （原始內容存檔於2019-03-28）.
^ Jackson, Joab. Python gets a big data boost from DARPA. networkworld. Feb 5, 2013 [October 30, 2014]. （原始內容存檔於2018-06-13）.
^ State of Conda, Oct. 2014. Pen and Pants. [9 April 2015]. （原始內容存檔於2019-04-19）.
^ Tony Ojeda; Sean Patrick Murphy; Benjamin Bengfort; Abhijit Dasgupta. Practical Data Science Cookbook. Packt Publishing Ltd. 25 September 2014 [19 March 2015]. ISBN 1783980257. （原始內容存檔於2019-09-24）.
^ Hans, Petter. A Primer on Scientific Programming with Python. Springer. 2014 [19 March 2015]. ISBN 3642549594. （原始內容存檔於2019-09-24）.
^ Yves Hilpisch. Python for Finance: Analyze Big Financial Data. O'Reilly Media. 11 December 2014 [19 March 2015]. （原始內容存檔於2019-09-24）.
^ Continuum Analytics Launches Anaconda Server for Enterprise Package Management. Yahoo Finance. 30 January 2014 [19 March 2015]. （原始內容存檔於2019-04-19）.
^ 3. Managing Python. 2015 [16 Jun 2015]. （原始內容存檔於2015-06-16）. So now let’s say you need Python 3 to learn programming, but you don’t want to overwrite your Python 2.7 environment by updating Python. You can create and activate a new environment named snakes, and install the latest version of Python 3 as follows:
^ wheel（頁面存檔備份，存於互聯網檔案館）
^ Bioconda official website. [2019-04-19]. （原始內容存檔於2019-04-19）.
^ Grüning, Bjorn; the Bioconda Team. Bioconda: A sustainable and comprehensive software distribution for the life sciences. 27 October 2017. bioRxiv 10.1101/207092 .
^ Miniconda is a free minimal installer for conda. conda.io. [2022-09-01]. （原始內容存檔於2022-09-03）.
^ Anaconda repository. anaconda.org. [2019-04-19]. （原始內容存檔於2019-03-28）.

外部連結

GitHub上的Conda頁面

[wikidata-5e2b972b47446b6b895f41b2b864e3d29caa0532-v3-1] Release 24.9.2. 2024年10月16日 [2024年10月21日].

[conda.pydata-2] 2.0 ^2.1 Conda. pydata.org. [9 April 2015]. （原始內容存檔於2016-11-20）.

[pydanny-3] Building Conda Packages for Multiple Operating Systems. Pydannt. 29 January 2015 [9 April 2015]. （原始內容存檔於2015-04-11）.

[conda-data-science-4] 4.0 ^4.1 ^4.2 Doig, Christine. Conda for Data Science. 21 May 2015 [16 Jun 2015]. （原始內容存檔於2015-06-16）. Conda works with Linux, OSX, and Windows, and is language agnostic, which allows us to use it with any programming language or even multi-language projects.

[5] Gorelick (Author), Micha; Ozsvald, Ian. High Performance Python: Practical Performant Programming for Humans 1st. O'Reilly Media. September 2014: 370 [2019-04-19]. ISBN 1449361595. （原始內容存檔於2019-03-28）.

[networkworld-Jackson-DARPA-6] Jackson, Joab. Python gets a big data boost from DARPA. networkworld. Feb 5, 2013 [October 30, 2014]. （原始內容存檔於2018-06-13）.

[penandpants-7] State of Conda, Oct. 2014. Pen and Pants. [9 April 2015]. （原始內容存檔於2019-04-19）.

[data-science-8] Tony Ojeda; Sean Patrick Murphy; Benjamin Bengfort; Abhijit Dasgupta. Practical Data Science Cookbook. Packt Publishing Ltd. 25 September 2014 [19 March 2015]. ISBN 1783980257. （原始內容存檔於2019-09-24）.

[python-prog-9] Hans, Petter. A Primer on Scientific Programming with Python. Springer. 2014 [19 March 2015]. ISBN 3642549594. （原始內容存檔於2019-09-24）.

[python-10] Yves Hilpisch. Python for Finance: Analyze Big Financial Data. O'Reilly Media. 11 December 2014 [19 March 2015]. （原始內容存檔於2019-09-24）.

[yf-conda-11] Continuum Analytics Launches Anaconda Server for Enterprise Package Management. Yahoo Finance. 30 January 2014 [19 March 2015]. （原始內容存檔於2019-04-19）.

[conda-managing-python-12] 3. Managing Python. 2015 [16 Jun 2015]. （原始內容存檔於2015-06-16）. So now let’s say you need Python 3 to learn programming, but you don’t want to overwrite your Python 2.7 environment by updating Python. You can create and activate a new environment named snakes, and install the latest version of Python 3 as follows:

[13] wheel（頁面存檔備份，存於互聯網檔案館）

[14] Bioconda official website. [2019-04-19]. （原始內容存檔於2019-04-19）.

[15] Grüning, Bjorn; the Bioconda Team. Bioconda: A sustainable and comprehensive software distribution for the life sciences. 27 October 2017. bioRxiv 10.1101/207092 .

[16] Miniconda is a free minimal installer for conda. conda.io. [2022-09-01]. （原始內容存檔於2022-09-03）.

[AnacondaRepo-17] Anaconda repository. anaconda.org. [2019-04-19]. （原始內容存檔於2019-03-28）.

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