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Conda

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Conda是一个开源[1]跨平台[2]语言无关英语language-agnostic[3]包管理与环境管理系统。[4][5]由“连续统分析”(Continuum Analytics)基于BSD许可证发布。[1][6][7][8][9][10]

Conda允许用户方便地安装不同版本的二进制软件包与该计算平台需要的所有库。还允许用户在不同版本的包之间切换、从一个软件仓库英语Software repository下载包并安装。

Conda是用Python语言开发,但能管理其他编程语言的项目(如R语言[3]),包括多语言项目。[3] Conda可安装Python语言的包,[11]类似于其他基于Python的跨平台包管理器(如wheel页面存档备份,存于互联网档案馆)或pip)。

一些基于Conda的工具软件:

参考文献

  1. ^ 1.0 1.1 Conda. pydata.org. [9 April 2015]. (原始内容存档于2016-11-20). 
  2. ^ Building Conda Packages for Multiple Operating Systems. Pydannt. 29 January 2015 [9 April 2015]. (原始内容存档于2015-04-11). 
  3. ^ 3.0 3.1 3.2 Doig, Christine. Conda for Data Science. 21 May 2015 [16 Jun 2015]. (原始内容存档于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. 
  4. ^ 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. (原始内容存档于2019-03-28). 
  5. ^ Jackson, Joab. Python gets a big data boost from DARPA. networkworld. Feb 5, 2013 [October 30, 2014]. (原始内容存档于2018-06-13). 
  6. ^ State of Conda, Oct. 2014. Pen and Pants. [9 April 2015]. (原始内容存档于2019-04-19). 
  7. ^ Tony Ojeda; Sean Patrick Murphy; Benjamin Bengfort; Abhijit Dasgupta. Practical Data Science Cookbook. Packt Publishing Ltd. 25 September 2014 [19 March 2015]. ISBN 1783980257. (原始内容存档于2019-09-24). 
  8. ^ Hans, Petter. A Primer on Scientific Programming with Python. Springer. 2014 [19 March 2015]. ISBN 3642549594. (原始内容存档于2019-09-24). 
  9. ^ Yves Hilpisch. Python for Finance: Analyze Big Financial Data. O'Reilly Media. 11 December 2014 [19 March 2015]. (原始内容存档于2019-09-24). 
  10. ^ Continuum Analytics Launches Anaconda Server for Enterprise Package Management. Yahoo Finance. 30 January 2014 [19 March 2015]. (原始内容存档于2019-04-19). 
  11. ^ 3. Managing Python. 2015 [16 Jun 2015]. (原始内容存档于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: 
  12. ^ Bioconda official website. [2019-04-19]. (原始内容存档于2019-04-19). 
  13. ^ Grüning, Bjorn; the Bioconda Team. Bioconda: A sustainable and comprehensive software distribution for the life sciences. 27 October 2017. bioRxiv 10.1101/207092可免费查阅. 
  14. ^ Miniconda. conda.io. [2019-04-19]. (原始内容存档于2018-09-10). 
  15. ^ Anaconda repository. anaconda.org. [2019-04-19]. (原始内容存档于2019-03-28). 

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