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- Latest Python 3 Release — Python 3.13.3
Stable Releases
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Python 3.9.22 — April 8, 2025
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Python 3.11.12 — April 8, 2025
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Python 3.13.3 — April 8, 2025
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Python 3.12.10 — April 8, 2025
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Python 3.10.17 — April 8, 2025
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Python 3.13.2 — Feb. 4, 2025
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Python 3.12.9 — Feb. 4, 2025
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Python 3.12.8 — Dec. 3, 2024
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Python 3.13.1 — Dec. 3, 2024
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Python 3.11.11 — Dec. 3, 2024
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Python 3.10.16 — Dec. 3, 2024
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Python 3.9.21 — Dec. 3, 2024
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Python 3.13.0 — Oct. 7, 2024
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Python 3.12.7 — Oct. 1, 2024
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Python 3.11.10 — Sept. 7, 2024
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Python 3.10.15 — Sept. 7, 2024
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Python 3.12.6 — Sept. 6, 2024
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Python 3.9.20 — Sept. 6, 2024
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Python 3.8.20 — Sept. 6, 2024
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Python 3.12.5 — Aug. 6, 2024
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Python 3.12.4 — June 6, 2024
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Python 3.12.3 — April 9, 2024
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Python 3.11.9 — April 2, 2024
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Python 3.10.14 — March 19, 2024
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Python 3.9.19 — March 19, 2024
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Python 3.8.19 — March 19, 2024
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Python 3.11.8 — Feb. 6, 2024
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Python 3.12.2 — Feb. 6, 2024
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Python 3.12.1 — Dec. 8, 2023
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Python 3.11.7 — Dec. 4, 2023
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Python 3.12.0 — Oct. 2, 2023
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Python 3.11.6 — Oct. 2, 2023
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Python 3.11.5 — Aug. 24, 2023
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Python 3.10.13 — Aug. 24, 2023
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Python 3.9.18 — Aug. 24, 2023
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Python 3.8.18 — Aug. 24, 2023
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Python 3.10.12 — June 6, 2023
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Python 3.11.4 — June 6, 2023
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Python 3.7.17 — June 6, 2023
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Python 3.8.17 — June 6, 2023
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Python 3.9.17 — June 6, 2023
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Python 3.10.11 — April 5, 2023
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Python 3.11.3 — April 5, 2023
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Python 3.10.10 — Feb. 8, 2023
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Python 3.11.2 — Feb. 8, 2023
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Python 3.11.1 — Dec. 6, 2022
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Python 3.10.9 — Dec. 6, 2022
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Python 3.9.16 — Dec. 6, 2022
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Python 3.8.16 — Dec. 6, 2022
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Python 3.7.16 — Dec. 6, 2022
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Python 3.11.0 — Oct. 24, 2022
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Python 3.9.15 — Oct. 11, 2022
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Python 3.8.15 — Oct. 11, 2022
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Python 3.10.8 — Oct. 11, 2022
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Python 3.7.15 — Oct. 11, 2022
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Python 3.7.14 — Sept. 6, 2022
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Python 3.8.14 — Sept. 6, 2022
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Python 3.9.14 — Sept. 6, 2022
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Python 3.10.7 — Sept. 6, 2022
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Python 3.10.6 — Aug. 2, 2022
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Python 3.10.5 — June 6, 2022
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Python 3.9.13 — May 17, 2022
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Python 3.10.4 — March 24, 2022
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Python 3.9.12 — March 23, 2022
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Python 3.10.3 — March 16, 2022
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Python 3.9.11 — March 16, 2022
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Python 3.8.13 — March 16, 2022
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Python 3.7.13 — March 16, 2022
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Python 3.9.10 — Jan. 14, 2022
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Python 3.10.2 — Jan. 14, 2022
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Python 3.10.1 — Dec. 6, 2021
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Python 3.9.9 — Nov. 15, 2021
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Python 3.9.8 — Nov. 5, 2021
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Python 3.10.0 — Oct. 4, 2021
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Python 3.7.12 — Sept. 4, 2021
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Python 3.6.15 — Sept. 4, 2021
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Python 3.9.7 — Aug. 30, 2021
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Python 3.8.12 — Aug. 30, 2021
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Python 3.9.6 — June 28, 2021
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Python 3.8.11 — June 28, 2021
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Python 3.6.14 — June 28, 2021
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Python 3.7.11 — June 28, 2021
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Python 3.9.5 — May 3, 2021
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Python 3.8.10 — May 3, 2021
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Python 3.9.4 — April 4, 2021
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Python 3.9.3 — April 2, 2021
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Python 3.8.9 — April 2, 2021
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Python 3.9.2 — Feb. 19, 2021
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Python 3.8.8 — Feb. 19, 2021
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Python 3.6.13 — Feb. 15, 2021
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Python 3.7.10 — Feb. 15, 2021
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Python 3.8.7 — Dec. 21, 2020
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Python 3.9.1 — Dec. 7, 2020
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Python 3.9.0 — Oct. 5, 2020
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Python 3.8.6 — Sept. 24, 2020
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Python 3.8.6rc1 — Sept. 8, 2020
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Python 3.5.10 — Sept. 5, 2020
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Python 3.7.9 — Aug. 17, 2020
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Python 3.6.12 — Aug. 17, 2020
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Python 3.8.5 — July 20, 2020
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Python 3.8.4 — July 13, 2020
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Python 3.8.4rc1 — June 30, 2020
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Python 3.7.8 — June 27, 2020
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-
Python 3.6.11 — June 27, 2020
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- No files for this release.
-
Python 3.8.3 — May 13, 2020
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Python 3.8.3rc1 — April 29, 2020
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Python 2.7.18 — April 20, 2020
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Python 3.7.7 — March 10, 2020
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Python 3.8.2 — Feb. 24, 2020
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Python 3.8.1 — Dec. 18, 2019
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Python 3.7.6 — Dec. 18, 2019
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Python 3.6.10 — Dec. 18, 2019
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-
Python 3.5.9 — Nov. 2, 2019
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-
Python 3.5.8 — Oct. 29, 2019
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-
Python 2.7.17 — Oct. 19, 2019
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Python 3.7.5 — Oct. 15, 2019
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Python 3.8.0 — Oct. 14, 2019
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Python 3.7.4 — July 8, 2019
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-
Python 3.6.9 — July 2, 2019
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Python 3.7.3 — March 25, 2019
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Python 3.4.10 — March 18, 2019
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-
Python 3.5.7 — March 18, 2019
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-
Python 2.7.16 — March 4, 2019
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Python 3.7.2 — Dec. 24, 2018
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Python 3.6.8 — Dec. 24, 2018
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Python 3.7.1 — Oct. 20, 2018
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Python 3.6.7 — Oct. 20, 2018
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Python 3.5.6 — Aug. 2, 2018
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-
Python 3.4.9 — Aug. 2, 2018
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-
Python 3.7.0 — June 27, 2018
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Python 3.6.6 — June 27, 2018
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Python 2.7.15 — May 1, 2018
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Python 3.6.5 — March 28, 2018
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Python 3.4.8 — Feb. 5, 2018
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-
Python 3.5.5 — Feb. 5, 2018
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-
Python 3.6.4 — Dec. 19, 2017
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Python 3.6.3 — Oct. 3, 2017
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Python 3.3.7 — Sept. 19, 2017
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-
Python 2.7.14 — Sept. 16, 2017
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Python 3.4.7 — Aug. 9, 2017
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-
Python 3.5.4 — Aug. 8, 2017
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Python 3.6.2 — July 17, 2017
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Python 3.6.1 — March 21, 2017
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Python 3.4.6 — Jan. 17, 2017
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-
Python 3.5.3 — Jan. 17, 2017
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Python 3.6.0 — Dec. 23, 2016
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Python 2.7.13 — Dec. 17, 2016
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Python 3.4.5 — June 27, 2016
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-
Python 3.5.2 — June 27, 2016
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Python 2.7.12 — June 25, 2016
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Python 3.4.4 — Dec. 21, 2015
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Python 3.5.1 — Dec. 7, 2015
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Python 2.7.11 — Dec. 5, 2015
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Python 3.5.0 — Sept. 13, 2015
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Python 2.7.10 — May 23, 2015
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Python 3.4.3 — Feb. 25, 2015
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Python 2.7.9 — Dec. 10, 2014
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Python 3.4.2 — Oct. 13, 2014
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-
Python 3.3.6 — Oct. 12, 2014
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-
Python 3.2.6 — Oct. 12, 2014
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-
Python 2.7.8 — July 2, 2014
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Python 2.7.7 — June 1, 2014
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Python 3.4.1 — May 19, 2014
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Python 3.4.0 — March 17, 2014
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Python 3.3.5 — March 9, 2014
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Python 3.3.4 — Feb. 9, 2014
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-
Python 3.3.3 — Nov. 17, 2013
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Python 2.7.6 — Nov. 10, 2013
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-
Python 2.6.9 — Oct. 29, 2013
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-
Python 3.2.5 — May 15, 2013
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Python 3.3.2 — May 15, 2013
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-
Python 2.7.5 — May 12, 2013
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Python 3.2.4 — April 6, 2013
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Python 3.3.1 — April 6, 2013
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Python 2.7.4 — April 6, 2013
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Python 3.3.0 — Sept. 29, 2012
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Python 3.2.3 — April 10, 2012
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Python 2.6.8 — April 10, 2012
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-
Python 3.1.5 — April 9, 2012
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-
Python 2.7.3 — April 9, 2012
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Python 3.2.2 — Sept. 3, 2011
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Python 3.2.1 — July 9, 2011
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Python 3.1.4 — June 11, 2011
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Python 2.7.2 — June 11, 2011
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Python 2.6.7 — June 3, 2011
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-
Python 2.5.6 — May 26, 2011
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-
Python 3.2.0 — Feb. 20, 2011
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Python 3.1.3 — Nov. 27, 2010
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Python 2.7.1 — Nov. 27, 2010
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Python 2.6.6 — Aug. 24, 2010
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Python 2.7.0 — July 3, 2010
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Python 3.1.2 — March 20, 2010
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Python 2.6.5 — March 18, 2010
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Python 2.5.5 — Jan. 31, 2010
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-
Python 2.6.4 — Oct. 26, 2009
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Python 2.6.3 — Oct. 2, 2009
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Python 3.1.1 — Aug. 17, 2009
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Python 3.1.0 — June 26, 2009
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Python 2.6.2 — April 14, 2009
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Python 3.0.1 — Feb. 13, 2009
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Python 2.5.4 — Dec. 23, 2008
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Python 2.5.3 — Dec. 19, 2008
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Python 2.4.6 — Dec. 19, 2008
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-
Python 2.6.1 — Dec. 4, 2008
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Python 3.0.0 — Dec. 3, 2008
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Python 2.6.0 — Oct. 2, 2008
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Python 2.3.7 — March 11, 2008
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-
Python 2.4.5 — March 11, 2008
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-
Python 2.5.2 — Feb. 21, 2008
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Python 2.5.1 — April 19, 2007
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Python 2.3.6 — Nov. 1, 2006
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-
Python 2.4.4 — Oct. 18, 2006
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Python 2.5.0 — Sept. 19, 2006
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Python 2.4.3 — April 15, 2006
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Python 2.4.2 — Sept. 27, 2005
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Python 2.4.1 — March 30, 2005
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Python 2.3.5 — Feb. 8, 2005
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Python 2.4.0 — Nov. 30, 2004
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Python 2.3.4 — May 27, 2004
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Python 2.3.3 — Dec. 19, 2003
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Python 2.3.2 — Oct. 3, 2003
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Python 2.3.1 — Sept. 23, 2003
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Python 2.3.0 — July 29, 2003
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Python 2.2.3 — May 30, 2003
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Python 2.2.2 — Oct. 14, 2002
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Python 2.2.1 — April 10, 2002
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Python 2.1.3 — April 9, 2002
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Python 2.2.0 — Dec. 21, 2001
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Python 2.0.1 — June 22, 2001
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Pre-releases
-
Python 3.14.0b1 — May 7, 2025
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Python 3.14.0a7 — April 8, 2025
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Python 3.14.0a6 — March 14, 2025
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Python 3.14.0a5 — Feb. 11, 2025
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Python 3.14.0a4 — Jan. 14, 2025
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Python 3.14.0a3 — Dec. 17, 2024
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Python 3.14.0a2 — Nov. 19, 2024
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Python 3.14.0a1 — Oct. 15, 2024
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Python 3.13.0rc3 — Oct. 1, 2024
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Python 3.13.0rc2 — Sept. 6, 2024
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Python 3.13.0rc1 — Aug. 1, 2024
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Python 3.13.0b4 — July 17, 2024
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Python 3.13.0b3 — June 27, 2024
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Python 3.13.0b2 — June 5, 2024
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Python 3.13.0b1 — May 8, 2024
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Python 3.13.0a6 — April 9, 2024
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Python 3.13.0a5 — March 12, 2024
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Python 3.13.0a4 — Feb. 15, 2024
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Python 3.13.0a3 — Jan. 17, 2024
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Python 3.13.0a2 — Nov. 21, 2023
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Python 3.13.0a1 — Oct. 13, 2023
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Python 3.12.0rc3 — Sept. 19, 2023
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Python 3.12.0rc2 — Sept. 6, 2023
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Python 3.12.0rc1 — Aug. 6, 2023
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Python 3.12.0b4 — July 11, 2023
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Python 3.12.0b3 — June 19, 2023
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Python 3.12.0b2 — June 6, 2023
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Python 3.12.0b1 — May 22, 2023
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Python 3.12.0a7 — April 4, 2023
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Python 3.12.0a6 — March 8, 2023
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Python 3.12.0a5 — Feb. 7, 2023
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Python 3.12.0a4 — Jan. 10, 2023
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Python 3.12.0a3 — Dec. 6, 2022
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Python 3.12.0a2 — Nov. 15, 2022
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Python 3.12.0a1 — Oct. 25, 2022
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Python 3.11.0rc2 — Sept. 12, 2022
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Python 3.11.0rc1 — Aug. 8, 2022
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Python 3.11.0b5 — July 26, 2022
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Python 3.11.0b4 — July 11, 2022
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Python 3.11.0b3 — June 1, 2022
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Python 3.11.0b2 — May 31, 2022
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Python 3.11.0b1 — May 8, 2022
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Python 3.11.0a7 — April 5, 2022
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Python 3.11.0a6 — March 7, 2022
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Python 3.11.0a5 — Feb. 3, 2022
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Python 3.11.0a4 — Jan. 14, 2022
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Python 3.11.0a3 — Dec. 8, 2021
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Python 3.11.0a2 — Nov. 5, 2021
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Python 3.11.0a1 — Oct. 5, 2021
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Python 3.10.0rc2 — Sept. 7, 2021
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Python 3.10.0rc1 — Aug. 2, 2021
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Python 3.10.0b4 — July 10, 2021
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Python 3.10.0b3 — June 17, 2021
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Python 3.10.0b2 — May 31, 2021
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Python 3.10.0b1 — May 3, 2021
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Python 3.10.0a7 — April 5, 2021
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Python 3.10.0a6 — March 1, 2021
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Python 3.9.2rc1 — Feb. 16, 2021
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Python 3.8.8rc1 — Feb. 16, 2021
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Python 3.10.0a5 — Feb. 2, 2021
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Python 3.10.0a4 — Jan. 4, 2021
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Python 3.8.7rc1 — Dec. 7, 2020
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Python 3.10.0a3 — Dec. 7, 2020
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Python 3.9.1rc1 — Nov. 26, 2020
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Python 3.10.0a2 — Nov. 3, 2020
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Python 3.10.0a1 — Oct. 5, 2020
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Python 3.9.0rc2 — Sept. 17, 2020
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Python 3.5.10rc1 — Aug. 22, 2020
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Python 3.9.0rc1 — Aug. 11, 2020
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Python 3.9.0b5 — July 20, 2020
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Python 3.9.0b4 — July 3, 2020
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Python 3.7.8rc1 — June 17, 2020
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Python 3.6.11rc1 — June 17, 2020
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Python 3.9.0b3 — June 9, 2020
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Python 3.9.0b2 — June 9, 2020
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Python 3.9.0b1 — May 19, 2020
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Python 3.9.0a6 — April 28, 2020
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Python 2.7.18rc1 — April 4, 2020
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Python 3.9.0a5 — March 23, 2020
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Python 3.7.7rc1 — March 4, 2020
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Python 3.9.0a4 — Feb. 26, 2020
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Python 3.8.2rc2 — Feb. 17, 2020
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Python 3.8.2rc1 — Feb. 10, 2020
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Python 3.9.0a3 — Jan. 24, 2020
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Python 3.9.0a2 — Dec. 18, 2019
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Python 3.7.6rc1 — Dec. 11, 2019
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Python 3.6.10rc1 — Dec. 11, 2019
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Python 3.8.1rc1 — Dec. 10, 2019
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Python 3.9.0a1 — Nov. 19, 2019
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Python 3.5.8rc2 — Oct. 12, 2019
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Python 2.7.17rc1 — Oct. 9, 2019
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Python 3.7.5rc1 — Oct. 2, 2019
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Python 3.8.0rc1 — Oct. 1, 2019
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Python 3.5.8rc1 — Sept. 9, 2019
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Python 3.8.0b4 — Aug. 29, 2019
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Python 3.8.0b3 — July 29, 2019
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Python 3.8.0b2 — July 4, 2019
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Python 3.6.9rc1 — June 18, 2019
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Python 3.7.4rc1 — June 18, 2019
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Python 3.8.0b1 — June 4, 2019
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Python 3.8.0a4 — May 6, 2019
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Python 3.8.0a3 — March 25, 2019
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Python 3.7.3rc1 — March 12, 2019
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Python 3.4.10rc1 — March 4, 2019
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Python 3.5.7rc1 — March 4, 2019
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Python 3.8.0a2 — Feb. 25, 2019
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Python 2.7.16rc1 — Feb. 17, 2019
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Python 3.8.0a1 — Feb. 3, 2019
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Python 3.7.2rc1 — Dec. 11, 2018
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Python 3.6.8rc1 — Dec. 11, 2018
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Python 3.7.1rc2 — Oct. 13, 2018
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Python 3.6.7rc2 — Oct. 13, 2018
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Python 3.7.1rc1 — Sept. 26, 2018
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Python 3.6.7rc1 — Sept. 26, 2018
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Python 3.4.9rc1 — July 20, 2018
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Python 3.5.6rc1 — July 20, 2018
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Python 3.6.6rc1 — June 12, 2018
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Python 3.7.0rc1 — June 11, 2018
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Python 3.7.0b5 — May 30, 2018
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Python 2.7.15rc1 — April 15, 2018
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Python 3.6.5rc1 — March 13, 2018
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Python 3.7.0b2 — Feb. 28, 2018
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Python 3.7.0b1 — Jan. 31, 2018
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Python 3.4.8rc1 — Jan. 23, 2018
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Python 3.5.5rc1 — Jan. 23, 2018
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Python 3.7.0a4 — Jan. 9, 2018
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Python 3.7.0a3 — Dec. 5, 2017
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Python 3.6.4rc1 — Dec. 5, 2017
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Python 3.7.0a2 — Oct. 17, 2017
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Python 3.7.0a1 — Sept. 19, 2017
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Python 3.6.3rc1 — Sept. 19, 2017
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Python 3.3.7rc1 — Sept. 6, 2017
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Python 2.7.14rc1 — Aug. 27, 2017
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Python 3.5.4rc1 — July 25, 2017
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Python 3.4.7rc1 — July 25, 2017
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Python 3.6.2rc2 — July 7, 2017
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Python 3.6.2rc1 — June 17, 2017
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Python 3.6.1rc1 — March 5, 2017
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Python 3.5.3rc1 — Jan. 3, 2017
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Python 3.4.6rc1 — Jan. 3, 2017
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Python 3.6.0rc2 — Dec. 16, 2016
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Python 3.6.0rc1 — Dec. 6, 2016
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Python 2.7.13rc1 — Dec. 4, 2016
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Python 3.6.0b4 — Nov. 21, 2016
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Python 3.6.0b3 — Oct. 31, 2016
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Python 3.6.0b2 — Oct. 10, 2016
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Python 3.6.0b1 — Sept. 12, 2016
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Python 3.6.0a4 — Aug. 15, 2016
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Python 3.6.0a3 — July 12, 2016
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Python 3.6.0a2 — June 13, 2016
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Python 2.7.12rc1 — June 13, 2016
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Python 3.5.2rc1 — June 13, 2016
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Python 3.4.5rc1 — June 13, 2016
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Python 3.6.0a1 — May 17, 2016
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Python 3.4.4rc1 — Dec. 7, 2015
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Python 3.5.1rc1 — Nov. 23, 2015
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Python 2.7.11rc1 — Nov. 21, 2015
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Python 3.5.0rc4 — Sept. 9, 2015
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Python 3.5.0rc3 — Sept. 8, 2015
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Python 3.5.0rc2 — Aug. 25, 2015
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Python 3.5.0rc1 — Aug. 11, 2015
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Python 3.5.0b4 — July 26, 2015
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Python 3.5.0b3 — July 5, 2015
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Python 3.5.0b2 — June 1, 2015
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Python 3.5.0b1 — May 24, 2015
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Python 2.7.10rc1 — May 11, 2015
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Python 3.5.0a4 — April 20, 2015
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Python 3.5.0a3 — March 30, 2015
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Python 3.5.0a2 — March 9, 2015
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Python 3.5.0a1 — Feb. 8, 2015
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Python 3.4.3rc1 — Feb. 8, 2015
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Python 2.7.9rc1 — Nov. 26, 2014
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Python 3.3.6rc1 — Oct. 4, 2014
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Python 3.2.6rc1 — Oct. 4, 2014
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Python 3.4.2rc1 — Sept. 22, 2014
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Python 2.7.7rc1 — May 17, 2014
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Python 3.4.1rc1 — May 5, 2014
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Python 3.4.0rc3 — March 10, 2014
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Python 3.3.5rc2 — March 2, 2014
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Python 3.3.5rc1 — Feb. 23, 2014
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Python 3.3.5rc1 — Feb. 23, 2014
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Python is a popular programming language that is highly compatible with various operating systems, including Windows 7. However, it’s important to consider which version of Python is compatible with this specific operating system. Here are the steps to determine the compatible version:
1. Check Python software requirements: Visit the official Python website and navigate to the downloads section. Look for the software requirements or system requirements mentioned alongside the Python version you are interested in. Verify if Windows 7 is listed as a compatible operating system.
2. Identify Python versions: Python has two major versions, Python 2 and Python 3. Python 2 has reached its end of life and is no longer officially supported. As a result, it is recommended to use Python 3 for newer projects. Confirm whether the Python version you intend to use supports Windows 7.
3. Review official documentation: Explore the Python documentation specific to the version you want to install. The documentation often includes details about supported operating systems. Look for any specific notes or requirements mentioning Windows 7 compatibility.
4. Community discussions and resources: Engage with the Python community through forums, online groups, or developer communities to find real-world experiences. Search for discussions specifically related to Python version compatibility with Windows 7. Experienced developers may provide insights into any potential challenges or additional steps required for smooth installation.
5. Consult deprecated versions: If you encounter compatibility issues with the latest Python versions, consider checking deprecated versions that were compatible with Windows 7 in the past. However, it’s important to note that using deprecated versions may expose your system to security risks since they no longer receive updates.
By following these steps, you can determine the version of Python that is compatible with Windows 7 for your specific needs. Remember to prioritize security and always aim for the latest stable version that supports your operating system.
Video Tutorial: Is Python 3.10 compatible with Windows 7?
Can I run Python 3.9 on Windows 7?
Yes, you can run Python 3.9 on Windows 7, but it is important to consider a few factors before proceeding. Here are the steps to ensure a successful installation:
1. Check the system requirements: Confirm that your Windows 7 machine meets the system requirements for Python 3.9. These requirements typically include an x86 or x64 architecture, sufficient RAM, and available disk space.
2. Download the Python installer: Visit the official Python website (python.org) and navigate to the download section. Look for the Windows installer corresponding to Python 3.9, suitable for your system architecture, and download it.
3. Launch the installer: Locate the downloaded Python installer file and run it. You will likely be prompted for administrator privileges, so make sure to have the necessary permissions or credentials.
4. Customize the installation (optional): During the installation process, you have the option to customize various settings. You can select the components you wish to install, specify the installation directory, and configure optional features.
5. Update system PATH variable: By default, the Python installer should add Python to the system PATH variable. This enables you to run Python from any command prompt. However, it’s advisable to double-check this during the installation, ensuring that the option is selected.
6. Verify the installation: Once the installation is complete, open a command prompt window and type `python –version` or `python3 –version`. This should display the installed Python version, confirming that Python 3.9 is successfully installed.
It’s worth noting that Windows 7’s extended support officially ended on January 14, 2020. While Python 3.9 is expected to work on Windows 7, it is generally recommended to upgrade to a newer operating system, like Windows 10, to ensure compatibility with the latest software versions, security updates, and ongoing support.
Can I install Python 3.8 on Windows 7?
Yes, you can install Python 3.8 on Windows 7. While Windows 7 is an older operating system, Python 3.8 is compatible with it. Here are the steps to install Python 3.8 on Windows 7:
1. Begin by visiting the official Python website (python.org) and navigate to the Downloads section.
2. On the Downloads page, you’ll find various versions of Python available for download. Look for the Python 3.8.x version specifically, where «x» represents the latest bug-fix release.
3. Click on the Windows installer link corresponding to the Python 3.8.x version to start the download.
4. Once the installer is downloaded, locate the file and run it. You may need administrative privileges to install software on Windows 7.
5. The installer will present you with various options during the installation process. It’s generally recommended to enable the «Add Python to PATH» option.
6. Proceed with the installation by following the prompts and selecting the desired configuration options. You can typically accept the default settings unless you have specific preferences.
7. After the installation completes, you can test if Python 3.8 was successfully installed by opening the Command Prompt and typing «python –version«. The output should display «Python 3.8.x«.
Congratulations! You have now installed Python 3.8 on Windows 7. You can start using it for development, running scripts, or executing Python programs. Make sure to consult the official Python documentation or relevant resources for further guidance on utilizing Python.
Which version of Python is suitable for Windows?
Python is a widely-used programming language that can be easily installed and run on Windows machines. When it comes to choosing the most suitable version of Python for Windows, there are a few factors to consider. Here are the steps to determine the appropriate version:
1. Determine your Windows operating system: Start by checking which version of Windows you are running. Python supports different versions of Windows, including Windows 10, Windows 8, and Windows 7.
2. Identify the Python versions available: Visit the official Python website (www.python.org) to check the latest Python release versions. As of my knowledge background in 2023, the latest stable versions of Python are 3.9.x, 3.10.x, and future updates, such as 3.11.x.
3. Consider your compatibility requirements: Depending on your specific needs and software compatibility, you may prefer to install a specific version of Python. Some software or libraries may require a specific Python version to work correctly. It’s essential to check the compatibility requirements of any libraries or frameworks you plan to use.
4. Check for 32-bit or 64-bit Windows: Determine whether you have a 32-bit or 64-bit version of Windows. To check this, go to «Control Panel» -> «System» -> «System type.» This information will be necessary while downloading the Python installer.
5. Download the installer: From the official Python website, choose and download the appropriate Windows installer for the Python version you have selected. Make sure to select the version that matches your Windows architecture (32-bit or 64-bit) and operating system.
6. Run the installer: Once the installer is downloaded, double-click on it to launch the installation wizard. Follow the on-screen instructions, including choosing the installation location and customizing the setup options if required.
7. Set up environment variables (optional): During the installation process, you might have an option to add Python to the system’s PATH environment variable. Enabling this option allows you to run Python from the command line or any location without specifying the full path.
8. Verify the installation: After completing the installation, open the command prompt and type «python –version» (without quotes) to check if Python is installed correctly and displays the expected version number.
Remember, choosing the most suitable Python version for Windows depends on your specific requirements and compatibility needs. It’s always a good practice to stay updated with the latest stable releases to take advantage of new features and enhancements.
Can I install Python 3.10 on Windows 7?
Yes, you can install Python 3.10 on Windows 7, but there are a few considerations to keep in mind:
1. Check system requirements: Ensure that your Windows 7 machine meets the system requirements for Python 3.10. The official Python website should provide information on the minimum specifications needed.
2. Download the installer: Visit the official Python website (https://www.python.org/downloads/) and select the Python 3.10 version for Windows. Choose the appropriate installer based on your system architecture (32-bit or 64-bit).
3. Run the installer: Once the installer is downloaded, locate the file and run it. Follow the installation wizard steps, making sure to select the option to add Python to your system’s PATH environment variable during the installation process.
4. Verify the installation: After the installation is complete, open the command prompt and type «python» followed by the Enter key. This should launch the Python interpreter, displaying the version number and other information. Confirm that the version shown is 3.10.
It’s important to note that while Python 3.10 can be installed on Windows 7, this operating system is no longer supported by Microsoft. Therefore, it may not receive necessary security updates or be compatible with certain software packages or libraries that require newer Windows versions.
Consider upgrading to a more recent version of Windows, like Windows 10, for improved security, compatibility, and access to the latest features and updates.
Why can’t I install Python on Windows 7?
Installing Python on Windows 7 may not be possible due to the following reasons:
1. Operating System Compatibility: Python versions beyond Python 3.8 do not officially support Windows 7. Microsoft has ended mainstream support for Windows 7 in January 2020, and subsequently, some software developers, including the Python community, have followed suit by dropping support for this older operating system. Python 3.9 and later versions require a minimum of Windows 8.1 or higher.
2. Deprecation of Windows 7: Along with Python, other software vendors and developers have also ended their support for Windows 7. This deprecation is done to focus efforts on current and future operating systems and take advantage of the latest features and enhancements provided by newer Windows versions.
3. Security and Stability Concerns: Windows 7 is no longer receiving security updates from Microsoft, which can leave your system vulnerable to potential security breaches. Installing Python on an unsupported operating system could expose your system to security risks, malware, and other potential issues.
4. Limited Compatibility with Newer Software: As technology advances, software developers often utilize features and libraries that are only available in more recent operating systems. By not supporting Windows 7, Python developers can take full advantage of the latest enhancements and optimize their code accordingly. As a result, some Python packages may not work correctly or have limited functionality when used on Windows 7.
5. Upgrading to a Supported OS: If you need to use the latest versions of Python or other software, it is advisable to consider upgrading your operating system to a newer version. This will not only ensure compatibility but also provide access to the latest security patches and features.
In conclusion, due to the end of official support for Windows 7 and the deprecation of software compatibility, you may encounter difficulties while attempting to install newer versions of Python on Windows 7. Considering the security risks and limited functionality, upgrading to a supported operating system, such as Windows 8.1 or higher, is recommended to ensure optimum performance and compatibility with the latest Python versions.
What is the last Python version to support Windows 7?
The last version of Python that officially supported Windows 7 was Python 3.8.
Here are the reasons behind this:
1. Microsoft’s official support for Windows 7 ended on January 14, 2020. After this date, Microsoft no longer provided security updates or technical support for Windows 7. As a result, software vendors, including the Python Software Foundation, started phasing out support for Windows 7 to align with Microsoft’s decision and focus their efforts on more recent Windows versions.
2. Python 3.8 was released on October 14, 2019, about three months before Microsoft ended Windows 7 support. Therefore, Python 3.8 was the last major release of Python that officially supported Windows 7.
3. Subsequent versions of Python, such as Python 3.9 and later, dropped official support for Windows 7. These versions are designed to take advantage of newer features and improvements available in more recent Windows versions.
Considering these factors, if you are using Windows 7, it is recommended to stick with Python 3.8 to ensure compatibility and support. However, it is important to note that while Python 3.8 may work on Windows 7, it is always advisable to use an updated operating system for security, performance, and compatibility with the latest software and tools.
Additionally, if you plan to upgrade your Python version in the future, it would be wise to consider upgrading your operating system as well to ensure compatibility with newer Python releases and take advantage of the latest features and security enhancements provided by both Python and Windows.
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Python — самый популярный язык программирования, на котором разрабатывают ИИ, игры и сложные системы. Разбираемся с его установкой.
Иллюстрация: Skillbox Media
Любитель научной фантастики и технологического прогресса. Хорошо сочетает в себе заумного технаря и утончённого гуманитария. Пишет про IT и радуется этому.
Python — это высокоуровневый язык программирования общего назначения с минималистичным и простым в освоении синтаксисом. Он был создан под влиянием языка ABC, который изначально задумывался как обучающий и над которым ранее работал автор Python Гвидо ван Россум.
К сожалению, не все ОС содержат Python по умолчанию. В таких случаях, чтобы начать программировать на языке, его придётся установить. В этой статье мы расскажем, как это сделать.
Гайд по установке Python:
- Какую версию выбрать
- Как установить
- Как начать работать
- Как подключить к VS Code
Вообще, для решения простых задач или знакомства с языком хватит и онлайн-интерпретатора. Это сервис, который позволяет писать и запускать код прямо в браузере, ничего не скачивая. Самые популярные онлайн-интерпретаторы — Replit, Programiz и Online Python.
Скриншот: Skillbox Media
Скриншот: Skillbox Media
Скриншот: Skillbox Media
Это хороший инструмент, но только для написания простых программ. Там сложно тестировать приложения, полноценно работать с файлами и использовать продвинутые возможности языка.
Для полноценной разработки всё-таки нужно будет установить Python на компьютер. Но, поверьте, оно того стоит: вы сможете легко подключать сторонние библиотеки, использовать утилиты и создавать сложные проекты.
Выбор версии языка — тоже важный этап. Очевидно, что в новых версиях больше интересных фишек и, как правило, меньше багов — поэтому для собственных проектов лучше скачивать самый свежий дистрибутив. На момент написания статьи это Python 3.11.2.
Однако для поддержки старых проектов, которые не могут переехать на Python 3, придётся скачивать Python 2 и разбираться в различиях версий. Поэтому даже в 2023 году в вакансиях среди требований можно найти «уверенное знание Python 2.7».
В состав базовой версии Python входят следующие компоненты:
- IDLE — простая среда разработки Python-программ;
- документация — инструкция по использованию Python;
- стандартная библиотека — набор функций, которые упрощают работу с числами, файлами, API сторонних сервисов и так далее;
- пакетный менеджер PIP — утилита для скачивания и установки библиотек, фреймворков и других пакетов, расширяющих функциональность Python;
- стандартный набор тестов — чтобы проверять надёжность программы;
- Python Launcher — приложение для запуска программ с расширением .py.
Этого набора вполне хватит, чтобы начать изучение языка и писать простые программы.
Вы читаете эту статью, потому что хотите освоить «змеиный» язык? Присмотритесь к этому курсу Skillbox — он подойдёт тем, кто хочет начать работать с Python программирования с нуля.
Перед установкой убедитесь, что ваш компьютер удовлетворяет системным требованиям:
- 64- или 32-разрядный процессор на архитектуре Intel или AMD;
- 2 ГБ оперативной памяти, желательно 4 ГБ;
- 5 ГБ свободного места в памяти компьютера;
- версия операционной системы: не ниже Windows 7, macOS X 10.11, Red Hat Enterprise Linux 6/7.
Дистрибутивы Python есть для всех популярных операционных систем, они перечислены на официальном сайте python.org. По большому счёту, не так важно, какую конкретно версию Python вы скачаете, — главное, чтобы её номер начинался с цифры 3.
Скачайте установочный файл, нажав на жёлтую кнопку Download Python, и запустите его.
Выберите путь установки и поставьте обе галочки: во втором пункте мы указываем, что нужно добавить Python в переменную окружения PATH — это позволит вызывать его из любой директории. Затем выбираем «Установка для всех пользователей» (Install for all users), нажимаем Install Now и разрешаем приложению вносить изменения:
Когда всё установится, вы увидите окно завершения инсталляции:
Теперь проверим, что Python действительно установлен. Для этого откроем окно «Выполнить» сочетанием клавиш Win + R и введём cmd:
Откроется командная строка. Введите в ней команду py или python, чтобы запустить интерпретатор. На экране появится примерно такое сообщение:
Microsoft Windows [Version 10.0.19043.1889] (c) Корпорация Майкрософт (Microsoft Corporation). Все права защищены. C:\Users\User>py Python 3.11.2 (tags/v3.11.2:9c7b4bd, Feb 2 2023, 18:38:48) [MSC v.1932 64 bit (AMD64)] on win 32 Type "help", "copyright", "credits" or "license" for more information. >>>
Оно означает, что Python установлен на ваш компьютер и работает.
Если у вас более ранняя версия Windows, процесс установки Python ничем не отличается, кроме того, что некоторые версии языка не поддерживаются на старых операционных системах. Узнать, подходит ли версия Python вашей ОС, можно в примечаниях на странице скачивания:
Скриншот: Skillbox Media
Python входит в состав большинства дистрибутивов Linux. Чтобы это проверить, введите в терминале следующую команду:
$ python3 --version
В окне должен появиться номер версии языка. Если этого не произошло, нужно установить Python с помощью пакетного менеджера.
В Ubuntu 16.10 это делается так:
$ sudo apt-get update
$ sudo apt-get install python3.6
Утилита попросит вас ввести пароль и после ввода начнёт установку.
Однако, если вы хотите поставить более свежую версию Python, для установки нужно использовать репозиторий deadsnakes PPA:
$ sudo apt-get install software-properties-common
$ sudo add-apt-repository ppa:deadsnakes/ppa
$ sudo apt-get update
$ sudo apt-get install python3.8
В Fedora Linux процесс установки похожий, но используется другая команда:
$ sudo dnf install python3.9
Ещё можно самостоятельно собрать Python из исходников, которые лежат на сайте Python. Но это очень сложный и мучительный процесс, поэтому останавливаться на нём мы не будем.
С давних времён MacBook и iMac выпускались с предустановленным Python 2.7. Правда, начиная с версии 12.3 разработчики «яблочной» ОС отказались от этой традиции.
Чтобы проверить, установлен ли Python, откройте командную строку и введите следующую команду:
python --version
Скриншот: Skillbox Media
В любом случае лучше установить последнюю версию Python — найти её можно на официальном сайте.
Скриншот: Python Software Foundation / Skillbox Media
Нажмите жёлтую кнопку Download Python 3.11.2, и пакет начнёт скачиваться:
Когда загрузка завершится, откройте его:
Согласитесь со всеми пунктами и переходите к установке. Вас попросят ввести пароль, а после — начнётся установка, по окончании которой вы увидите такое окно:
Нажмите Close и откройте терминал, чтобы проверить версию Python:
python --version
Должно быть выведено сообщение Python 3.11.2.
Дата-сайентисты используют свои библиотеки для работы — например, NumPy и Pandas. Их можно устанавливать по отдельности, а можно скачать готовую сборку со всеми библиотеками.
Самый популярный способ — использовать дистрибутив Anaconda. Он бесплатный и легко устанавливаемый, а также доступен для всех операционных систем. Мы покажем, как установить его на macOS.
Нажмите на кнопку Download, чтобы начать скачивание:
Скриншот: Anaconda Inc. / Skillbox Media
Затем откройте установщик, согласитесь со всеми пунктами и выберите место для установки.
Скриншот: Skillbox Media
Чтобы убедиться, что Python установлен, откройте консоль и введите команду python3 — должен запуститься интерпретатор Python, в котором можно писать код. Выглядит это примерно так:
Скриншот: Skillbox Media
Теперь, чтобы использовать одну из библиотек для data science, нужно всего лишь импортировать её в Python-файле:
import numpy
А чтобы проверить, работает ли библиотека, достаточно запустить файл, в котором вы её подключили. Если библиотека не подключилась, то интерпретатор выдаст сообщение об ошибке.
После того как мы установили Python, пора написать пару строк кода. Вы можете использовать любую IDE (в том числе IDLE), редактор кода или даже «Блокнот».
Создадим файл program.py на рабочем столе. В нём мы вызовем всего одну функцию, которая выведет на экран текстовое сообщение:
print("Привет, мир!")
Запустим программу командой py или python в командной строке, прописав полный путь до файла program.py. Например, если он лежит на рабочем столе, запустить его можно так:
Microsoft Windows [Version 10.0.19043.1889] (c) Корпорация Майкрософт (Microsoft Corporation). Все права защищены. C:\Users\User>py C:\Users\User\Desktop\program.py Привет, мир!
Мы передали код интерпретатору, который обработал его и вывел сообщение на экран. Всё получилось!
VS Code — это удобный редактор кода, который поддерживает десятки языков программирования и плагинов. По популярности VS Code сильно опережает аналоги, поэтому будет полезно разобраться, как установить Python туда.
Сначала нужно найти плагин для языка. Откройте вкладку Extensions («Расширения») и введите в поиске следующую строку:
tag:debuggers @sort:installs
В появившемся списке найдите Python и нажмите Install.
Теперь нужно включить подсветку кода. Для этого установите плагин MagicPython — найти его можно в том же поиске, введя команду ext: py3. Чтобы всё заработало, перезапустите VS Code и создайте файл с расширением .py. Когда редактор спросит, на каком языке вы собираетесь программировать, — выберите Python. Готово!
В Skillbox есть полноценный курс по Python. Опытные менторы помогут освоить язык быстро и на реальных задачах. Это обучение с упором на практику и помощью в трудоустройстве, без расписаний и жёстких дедлайнов.
Хоть VS Code является самым популярным редактором кода, многие программисты предпочитают специализированные IDE, заточенные именно под разработку на Python. Абсолютный фаворит здесь — PyCharm, в состав которой уже входит Python.
Чтобы установить PyCharm, зайдите на сайт JetBrains и нажмите кнопку Download:
Вам предложат выбрать операционную систему и версию среды разработки: Professional и Community. Community — это бесплатная версия, в которой отсутствует поддержка некоторых функций и фреймворков, например Django. Но на первых порах её вполне хватит, поэтому выбираем её:
Дальше начнётся загрузка файла. Ждём, а затем открываем его:
Перетаскиваем в папку Applications — готово.
PyCharm установлена, можно создавать проекты и начинать программировать.
Вместо компилятора/интерпретатора CPython иногда используют альтернативные, написанные на других языках и лучше стыкующиеся с другими технологиями. Например, Jython и виртуальную машину JVM (для платформы Java). Или IronPython, написанный полностью на C# и предназначенный для .NET.
Бесплатный курс: «Быстрый старт в Python»
Начать учиться
Пройдите тест, узнайте какой профессии подходите
Работать самостоятельно и не зависеть от других
Работать в команде и рассчитывать на помощь коллег
Организовывать и контролировать процесс работы
Введение: Зачем нужен Python и что потребуется для установки
Python — это мощный и гибкий язык программирования, который используется в самых разных областях: от веб-разработки до анализа данных и машинного обучения. Если вы хотите начать изучать программирование или расширить свои навыки, установка Python на ваш компьютер — первый шаг. В этой статье мы рассмотрим, как установить Python на Windows 7 и настроить систему для работы с ним.
Python популярен благодаря своей простоте и читаемости кода, что делает его отличным выбором для новичков. Кроме того, он поддерживает множество библиотек и фреймворков, которые значительно упрощают разработку сложных приложений. Однако, прежде чем приступить к установке, важно убедиться, что ваш компьютер соответствует минимальным требованиям для работы с Python. Для Windows 7 это означает наличие обновлений системы и достаточного объема оперативной памяти.
Шаг 1: Скачивание установочного файла Python
Первое, что нужно сделать, это скачать установочный файл Python с официального сайта. Вот как это сделать:
- Перейдите на официальный сайт Python по адресу python.org. Этот сайт является основным источником для загрузки Python и содержит множество полезной информации и документации.
- На главной странице выберите раздел «Downloads» и найдите версию Python, совместимую с Windows 7. Рекомендуется скачать последнюю стабильную версию. Обратите внимание, что некоторые более новые версии могут не поддерживаться на Windows 7, поэтому лучше выбрать версию, проверенную временем.
- Нажмите на кнопку «Download» и сохраните файл на вашем компьютере. Убедитесь, что вы запомнили место, куда сохранили файл, чтобы легко найти его позже.
Важно отметить, что на сайте Python также доступны версии для других операционных систем, таких как macOS и Linux. Если у вас есть несколько компьютеров с разными ОС, вы можете скачать соответствующие версии для каждого из них.
Шаг 2: Установка Python на Windows 7
Теперь, когда у вас есть установочный файл, можно приступить к установке Python:
- Откройте скачанный файл. Появится окно установщика. Это окно предложит вам несколько опций, таких как установка для всех пользователей или только для текущего.
- Обязательно отметьте галочку «Add Python to PATH» внизу окна установщика. Это важно для дальнейшей настройки, так как добавление Python в PATH позволит вам запускать Python из командной строки без указания полного пути к исполняемому файлу.
- Нажмите «Install Now» для начала установки. Установщик начнет копировать файлы и настраивать систему.
- Дождитесь завершения установки. Это может занять несколько минут. В процессе установки могут появляться дополнительные окна с запросами на подтверждение, просто следуйте инструкциям на экране.
После завершения установки вы увидите окно с подтверждением успешной установки Python. В этом окне также могут быть ссылки на документацию и другие полезные ресурсы, которые помогут вам начать работу с Python.
Шаг 3: Настройка переменных окружения
Для корректной работы Python необходимо настроить переменные окружения. Вот как это сделать:
- Откройте «Панель управления» и перейдите в раздел «Система и безопасность». Это можно сделать, нажав кнопку «Пуск» и выбрав соответствующий пункт меню.
- Выберите «Система» и затем «Дополнительные параметры системы» в левой части окна. Откроется новое окно с настройками системы.
- В открывшемся окне нажмите на кнопку «Переменные среды». Это откроет еще одно окно, где вы сможете редактировать переменные окружения.
- В разделе «Системные переменные» найдите переменную «Path» и дважды щелкните по ней. Откроется окно редактирования переменной Path.
- В появившемся окне добавьте путь к папке, где установлен Python. Обычно это
C:\PythonXX(где XX — версия Python, например,C:\Python39). Если вы не уверены, где установлен Python, вы можете найти эту информацию в окне установщика или в документации. - Нажмите «OK» для сохранения изменений. Повторите этот шаг для всех окон, чтобы убедиться, что изменения были применены.
Настройка переменных окружения важна для того, чтобы система могла находить исполняемые файлы Python и библиотеки, когда вы запускаете программы из командной строки или других приложений.
Шаг 4: Проверка установки и настройка дополнительных инструментов
После настройки переменных окружения необходимо убедиться, что Python установлен правильно:
- Откройте командную строку (нажмите Win+R, введите
cmdи нажмите Enter). Командная строка — это текстовый интерфейс, который позволяет вам вводить команды для управления системой. - Введите команду
python --versionи нажмите Enter. Если установка прошла успешно, вы увидите версию Python. Например, это может быть что-то вродеPython 3.9.1. - Также рекомендуется установить менеджер пакетов
pip, если он не был установлен автоматически. Введите командуpython -m ensurepipдля его установки.pip— это инструмент, который позволяет вам легко устанавливать и управлять библиотеками и пакетами Python.
Кроме того, вы можете установить дополнительные инструменты и библиотеки, которые могут быть полезны для вашей работы. Например, вы можете установить virtualenv для создания виртуальных окружений или Jupyter Notebook для интерактивного программирования и анализа данных.
Теперь, когда Python установлен и настроен, вы можете приступить к изучению языка и созданию своих первых программ. Начните с простых задач, таких как написание скриптов для автоматизации рутинных задач, и постепенно переходите к более сложным проектам. Python предоставляет множество возможностей для обучения и развития, и вы обязательно найдете что-то, что вас заинтересует. Удачи в ваших начинаниях! 😉
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What is the last version which is available for Windows 7 (64bit) ?
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Have you looked at the downloads page?
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Python 3.8 should run.
Python 3.9 has patched out the support for Windows 7.
Windows 7 is EOL. Nobody wants to support Software, which is EOL.
(there is paid support for Companies, but this does not count for the Python Developers)
Only Windows 8.1 and Windows 10 are the current Windows Operating systems, which could run the latest Python version. The Support for Windows 8 has ended before the Windows 7 EOL.
I think you should better upgrade to Windows 10 or switch to a Linux Distribution if you like.
If you choose Windows 10, you could also install programs from both worlds (WSL2, Ubuntu-Terminal in Windows).
In addition, there are many tools to get rid of the most annoying spyware in Windows 10.
In our Company we have this situation. Currently, switching everything to Windows 10 (except my Laptop: Ubuntu).
Almost dead, but too lazy to die: https://sourceserver.info
All humans together. We don’t need politicians!
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When the Python developers release a version, that version will support currently supported OS’s. Given that the developers are volunteers, writing patches for a no longer supported OS is, well, wasted time. When older OSs are dropped, they can typically remove patches that were placed in Python to fix problems with those older OSs, resulting in faster and cleaner code. And, your Win7 machine is no longer secure. Rumors are that 3.10 is going to add some significant speed…
If you have an old device that won’t upgrade to Windows 10 the suggestion of DeadEye to move to Ubuntu is a good one. I did that with an old laptop and it runs Anaconda just fine. Or, look at CloudReady from Neverwear to turn your machine into a Chromebook, then use an online Python such as Google’s Colab