Release date | conda | python2.7 | python3.4 | python3.5 | python3.6 | python3.7 | python3.8 |
2015-02-25 | 3.4.3 | ||||||
2015-05-23 | 2.7.10 | ||||||
2015-09-13 | 3.5.0 | ||||||
2015-12-05 | 2.7.11 | ||||||
2015-12-07 | 3.5.1 | ||||||
2015-12-21 | 3.4.4 | ||||||
2016-03-29 | conda 4.0.5 | Anaconda2-4.0.0 (python 2.7.11) |
Anaconda3-4.0.0 (python 3.5.1) |
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2016-06-28 | conda 4.1.4 | Anaconda2-4.1.0 (python 2.7.11) |
Anaconda3-4.1.0 (python 3.5.1) |
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2016-06-25 | 2.7.12 | ||||||
2016-06-27 | 3.4.5 | 3.5.2 | |||||
2016-07-08 | conda 4.1.6 | Anaconda2-4.1.1 (python 2.7.12) |
Anaconda3-4.1.1 (python 3.5.2) |
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2016-09-28 | conda 4.2.9 | Anaconda2-4.2.0 (python 2.7.12) |
Anaconda3-4.2.0 (python 3.5.2) |
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2016-12-17 | 2.7.13 | ||||||
2016-12-23 | 3.6.0 | ||||||
2017-01-17 | 3.4.6 | 3.5.3 | |||||
2017-01-31 | conda 4.3.8 | Anaconda2-4.3.0 (python 2.7.13) |
Anaconda3-4.3.0 (python 3.6.0) |
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2017-03-10 | conda 4.3.14 | Anaconda2-4.3.1 (python 2.7.13) |
Anaconda3-4.3.1 (python 3.6.0) |
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2017-03-21 | 3.6.1 | ||||||
2017-05-31 | conda 4.3.21 | Anaconda2-4.4.0 (python 2.7.13) |
Anaconda3-4.4.0 (python 3.6.1) |
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2017-07-17 | 3.6.2 | ||||||
2017-08-08 | 3.5.4 | ||||||
2017-08-09 | 3.4.7 | ||||||
2017-09-26 | conda 4.3.27 | Anaconda2-5.0.0 (python 2.7.13) |
Anaconda3-5.0.0 (python 3.6.2) |
||||
2017-09-16 | 2.7.14 | ||||||
2017-10-03 | 3.6.3 | ||||||
2017-10-25 | conda 4.3.30 | Anaconda2-5.0.1 (python 2.7.14) |
Anaconda3-5.0.1 (python 3.6.3) |
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2017-12-19 | 3.6.4 | ||||||
2018-02-05 | 3.4.8 | 3.5.5 | |||||
2018-02-15 | conda 4.4.10 | Anaconda2-5.1.0 (python 2.7.14) |
Anaconda3-5.1.0 (python 3.6.4) |
||||
2018-03-28 | 3.6.5 | ||||||
2018-05-01 | 2.7.15 | ||||||
2018-05-30 | conda 4.5.4 | Anaconda2-5.2.0 (python 2.7.15) |
Anaconda3-5.2.0 (python 3.6.5) |
||||
2018-06-27 | 3.6.6 | 3.7.0 | |||||
2018-08-02 | 3.4.9 | 3.5.6 | |||||
2018-09-28 | conda 4.5.11 | Anaconda2-5.3.0 (python 2.7.15) |
Anaconda3-5.3.0 (python 3.7.0) |
||||
2018-10-20 | 3.6.7 | 3.7.1 | |||||
2018-12-21 | conda 4.5.12 | Anaconda2-2018.12 (python 2.7.15) |
Anaconda3-2018.12 (python 3.7.1) |
||||
2018-12-24 | 3.6.8 | 3.7.2 | |||||
2019-03-04 | 2.7.16 | ||||||
2019-03-18 | 3.4.10 | 3.5.7 | |||||
2019-03-25 | 3.7.3 | ||||||
2019-04-04 | conda 4.6.11 | Anaconda2-2019.03 (python 2.7.16) |
Anaconda3-2019.03 (python 3.7.3) |
||||
2019-07-02 | 3.6.9 | ||||||
2019-07-08 | 3.7.4 | ||||||
2019-07-24 | conda 4.7.10 | Anaconda2-2019.07 (python 2.7.16) |
Anaconda3-2019.07 (python 3.7.3) |
||||
2019-10-14 | 3.8.0 | ||||||
2019-10-15 | 3.7.5 | ||||||
2019-10-19 | 2.7.17 | ||||||
2019-10-29 | 3.5.8 | ||||||
2019-11-02 | 3.5.9 |
首先解釋一下上表。 anaconda在每次發佈新版本的時候都會給python2和python3都發佈一個包,版本號是同樣的(anaconda2-xxx和anaconda3-xxx),而且包含的conda版本號也是同樣的(表中每一行的第一列)。html
表格中,python版本號下方的離它最近的anaconda包就是包含它的版本。python
舉個例子,假設你想安裝python2.7.14,在表格中找到它,它下方的兩個個anaconda包(anaconda2-5.0.一、5.1.0)都包含python2.7.14;python2.7
假設你想安裝python3.6.5,在表格中找到它,它下方的anaconda3-5.2.0就是你須要下載的包;spa
假設你想安裝python3.7.0,在表格中找到它,它下方的anaconda3-5.3.0就是你須要下載的包;.net
假如你想安裝miniconda可是不知道該安裝哪一個版本,請點開下表的old package lists,它顯示了每一個anaconda版本包含什麼版本的conda和什麼版本的python,而miniconda的版本號與conda的版本號是同樣的。3d