Anaconda (Python发行版) (Chinese Wikipedia)

Analysis of information sources in references of the Wikipedia article "Anaconda (Python发行版)" in Chinese language version.

refsWebsite

Global rank Chinese rank

19web.archive.org

1^st place

5anaconda.com

low place

2pydata.org

low place

2conda.io

low place

2continuum.io

low place

1pydanny.com

low place

1oreilly.com

4,347^th place

5,607^th place

1networkworld.com

4,121^st place

5,833^rd place

1amazon.com

105^th place

269^th place

1anaconda.org

low place

1ithome.com

low place

513^th place

1tsinghua.edu.cn

low place

639^th place

1ustclug.org

low place

amazon.com

Gorelick (Author), Micha; Ozsvald, Ian. High Performance Python: Practical Performant Programming for Humans 1st. O'Reilly Media. September 2014: 370 [2019-03-28]. ISBN 1449361595. （原始内容存档于2019-03-28）.

anaconda.com

docs.anaconda.com

What is Anaconda, Inc.?. docs.anaconda.com. [2019-03-28]. （原始内容存档于2019-03-27）. Anaconda is a software development and consulting company of passionate open source advocates based in Austin, Texas, USA. We are committed to the open source community. We created the Anaconda Python distribution and contribute to many other open source-based data analytics tools.
Release notes — Anaconda 2.0 documentation. [2019-03-28]. （原始内容存档于2018-10-12）.
What application can I access using navigator?. docs.anaconda.com. [2019-03-28]. （原始内容存档于2019-07-21）.

anaconda.com

Open Source Community. Anaconda. [2019-02-27]. （原始内容存档于2019-02-28）（美国英语）.
Anaconda Commercial Edition FAQ. [2021-03-24]. （原始内容存档于2021-04-01）.

anaconda.org

Anaconda repository. anaconda.org. [2019-03-28]. （原始内容存档于2019-08-10）.

conda.io

Managing Python with conda. conda.io. [2019-03-28]. （原始内容存档于2018-06-13）.
Miniconda. conda.io. [2019-03-28]. （原始内容存档于2018-09-10）.

continuum.io

docs.continuum.io

Anaconda End User License Agreement. continuum.io. Continuum Analytics. [2016-05-30]. （原始内容存档于2016-06-24）.

continuum.io

Doig, Christine. Conda for Data Science. 2015-05-21 [2015-06-16]. （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.

ithome.com

清华大学宣布停止Anaconda镜像服务 - 清华大学,镜像 - IT之家. www.ithome.com. [2019-04-16]. （原始内容存档于2019-04-16）.

networkworld.com

Jackson, Joab. Python gets a big data boost from DARPA. networkworld. 2013-02-05 [2014-10-30]. （原始内容存档于2018-06-13）.

oreilly.com

radar.oreilly.com

Lorica, Ben. Python data tools just keep getting better. O'Reilly Radar. 2013-03-24 [2014-10-30]. （原始内容存档于2016-05-28）.

pydanny.com

Building Conda Packages for Multiple Operating Systems. Pydannt. 2015-01-29 [2015-04-09]. （原始内容存档于2015-04-11）.

pydata.org

conda.pydata.org

Conda – Conda documentation. [2016-02-25]. （原始内容存档于2016-03-01）.
Conda. pydata.org. [2015-04-09]. （原始内容存档于2016-11-20）.

tsinghua.edu.cn

mirrors.tuna.tsinghua.edu.cn

清华大学宣开源软件镜像站. mirrors.tuna.tsinghua.edu.cn. [2019-06-15]. （原始内容存档于2019-06-27）.

ustclug.org

servers.ustclug.org

Anaconda 镜像停止服务. servers.ustclug.org. [2019-04-25]. （原始内容存档于2019-04-27）.

web.archive.org

What is Anaconda, Inc.?. docs.anaconda.com. [2019-03-28]. （原始内容存档于2019-03-27）. Anaconda is a software development and consulting company of passionate open source advocates based in Austin, Texas, USA. We are committed to the open source community. We created the Anaconda Python distribution and contribute to many other open source-based data analytics tools.
Release notes — Anaconda 2.0 documentation. [2019-03-28]. （原始内容存档于2018-10-12）.
Anaconda End User License Agreement. continuum.io. Continuum Analytics. [2016-05-30]. （原始内容存档于2016-06-24）.
Open Source Community. Anaconda. [2019-02-27]. （原始内容存档于2019-02-28）（美国英语）.
Conda – Conda documentation. [2016-02-25]. （原始内容存档于2016-03-01）.
Anaconda Commercial Edition FAQ. [2021-03-24]. （原始内容存档于2021-04-01）.
Managing Python with conda. conda.io. [2019-03-28]. （原始内容存档于2018-06-13）.
What application can I access using navigator?. docs.anaconda.com. [2019-03-28]. （原始内容存档于2019-07-21）.
Conda. pydata.org. [2015-04-09]. （原始内容存档于2016-11-20）.
Building Conda Packages for Multiple Operating Systems. Pydannt. 2015-01-29 [2015-04-09]. （原始内容存档于2015-04-11）.
Doig, Christine. Conda for Data Science. 2015-05-21 [2015-06-16]. （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.
Lorica, Ben. Python data tools just keep getting better. O'Reilly Radar. 2013-03-24 [2014-10-30]. （原始内容存档于2016-05-28）.
Jackson, Joab. Python gets a big data boost from DARPA. networkworld. 2013-02-05 [2014-10-30]. （原始内容存档于2018-06-13）.
Gorelick (Author), Micha; Ozsvald, Ian. High Performance Python: Practical Performant Programming for Humans 1st. O'Reilly Media. September 2014: 370 [2019-03-28]. ISBN 1449361595. （原始内容存档于2019-03-28）.
Miniconda. conda.io. [2019-03-28]. （原始内容存档于2018-09-10）.
Anaconda repository. anaconda.org. [2019-03-28]. （原始内容存档于2019-08-10）.
清华大学宣布停止Anaconda镜像服务 - 清华大学,镜像 - IT之家. www.ithome.com. [2019-04-16]. （原始内容存档于2019-04-16）.
清华大学宣开源软件镜像站. mirrors.tuna.tsinghua.edu.cn. [2019-06-15]. （原始内容存档于2019-06-27）.
Anaconda 镜像停止服务. servers.ustclug.org. [2019-04-25]. （原始内容存档于2019-04-27）.