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  • Latest Python 3 Release — Python 3.13.3

Stable Releases

  • Python 3.9.22 — April 8, 2025

    Note that Python 3.9.22 cannot be used on Windows 7 or earlier.

    • No files for this release.
  • Python 3.11.12 — April 8, 2025

    Note that Python 3.11.12 cannot be used on Windows 7 or earlier.

    • No files for this release.
  • Python 3.13.3 — April 8, 2025

    Note that Python 3.13.3 cannot be used on Windows 7 or earlier.

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  • Python 3.12.10 — April 8, 2025

    Note that Python 3.12.10 cannot be used on Windows 7 or earlier.

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  • Python 3.10.17 — April 8, 2025

    Note that Python 3.10.17 cannot be used on Windows 7 or earlier.

    • No files for this release.
  • Python 3.13.2 — Feb. 4, 2025

    Note that Python 3.13.2 cannot be used on Windows 7 or earlier.

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  • Python 3.12.9 — Feb. 4, 2025

    Note that Python 3.12.9 cannot be used on Windows 7 or earlier.

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  • Python 3.12.8 — Dec. 3, 2024

    Note that Python 3.12.8 cannot be used on Windows 7 or earlier.

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  • Python 3.13.1 — Dec. 3, 2024

    Note that Python 3.13.1 cannot be used on Windows 7 or earlier.

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  • Python 3.11.11 — Dec. 3, 2024

    Note that Python 3.11.11 cannot be used on Windows 7 or earlier.

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  • Python 3.10.16 — Dec. 3, 2024

    Note that Python 3.10.16 cannot be used on Windows 7 or earlier.

    • No files for this release.
  • Python 3.9.21 — Dec. 3, 2024

    Note that Python 3.9.21 cannot be used on Windows 7 or earlier.

    • No files for this release.
  • Python 3.13.0 — Oct. 7, 2024

    Note that Python 3.13.0 cannot be used on Windows 7 or earlier.

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  • Python 3.12.7 — Oct. 1, 2024

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  • Python 3.11.10 — Sept. 7, 2024

    Note that Python 3.11.10 cannot be used on Windows 7 or earlier.

    • No files for this release.
  • Python 3.10.15 — Sept. 7, 2024

    Note that Python 3.10.15 cannot be used on Windows 7 or earlier.

    • No files for this release.
  • Python 3.12.6 — Sept. 6, 2024

    Note that Python 3.12.6 cannot be used on Windows 7 or earlier.

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  • Python 3.9.20 — Sept. 6, 2024

    Note that Python 3.9.20 cannot be used on Windows 7 or earlier.

    • No files for this release.
  • Python 3.8.20 — Sept. 6, 2024

    Note that Python 3.8.20 cannot be used on Windows XP or earlier.

    • No files for this release.
  • Python 3.12.5 — Aug. 6, 2024

    Note that Python 3.12.5 cannot be used on Windows 7 or earlier.

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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

    Note that Python 3.11.9 cannot be used on Windows 7 or earlier.

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  • Python 3.10.14 — March 19, 2024

    Note that Python 3.10.14 cannot be used on Windows 7 or earlier.

    • No files for this release.
  • Python 3.9.19 — March 19, 2024

    Note that Python 3.9.19 cannot be used on Windows 7 or earlier.

    • No files for this release.
  • Python 3.8.19 — March 19, 2024

    Note that Python 3.8.19 cannot be used on Windows XP or earlier.

    • No files for this release.
  • Python 3.11.8 — Feb. 6, 2024

    Note that Python 3.11.8 cannot be used on Windows 7 or earlier.

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  • Python 3.12.2 — Feb. 6, 2024

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  • Python 3.12.1 — Dec. 8, 2023

    Note that Python 3.12.1 cannot be used on Windows 7 or earlier.

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  • Python 3.11.7 — Dec. 4, 2023

    Note that Python 3.11.7 cannot be used on Windows 7 or earlier.

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  • Python 3.12.0 — Oct. 2, 2023

    Note that Python 3.12.0 cannot be used on Windows 7 or earlier.

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  • Python 3.11.6 — Oct. 2, 2023

    Note that Python 3.11.6 cannot be used on Windows 7 or earlier.

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  • Python 3.11.5 — Aug. 24, 2023

    Note that Python 3.11.5 cannot be used on Windows 7 or earlier.

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  • Python 3.10.13 — Aug. 24, 2023

    Note that Python 3.10.13 cannot be used on Windows 7 or earlier.

    • No files for this release.
  • Python 3.9.18 — Aug. 24, 2023

    Note that Python 3.9.18 cannot be used on Windows 7 or earlier.

    • No files for this release.
  • Python 3.8.18 — Aug. 24, 2023

    Note that Python 3.8.18 cannot be used on Windows XP or earlier.

    • No files for this release.
  • Python 3.10.12 — June 6, 2023

    Note that Python 3.10.12 cannot be used on Windows 7 or earlier.

    • No files for this release.
  • Python 3.11.4 — June 6, 2023

    Note that Python 3.11.4 cannot be used on Windows 7 or earlier.

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  • Python 3.7.17 — June 6, 2023

    Note that Python 3.7.17 cannot be used on Windows XP or earlier.

    • No files for this release.
  • Python 3.8.17 — June 6, 2023

    Note that Python 3.8.17 cannot be used on Windows XP or earlier.

    • No files for this release.
  • Python 3.9.17 — June 6, 2023

    Note that Python 3.9.17 cannot be used on Windows 7 or earlier.

    • No files for this release.
  • Python 3.10.11 — April 5, 2023

    Note that Python 3.10.11 cannot be used on Windows 7 or earlier.

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  • Python 3.11.3 — April 5, 2023

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  • Python 3.10.10 — Feb. 8, 2023

    Note that Python 3.10.10 cannot be used on Windows 7 or earlier.

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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

    Note that Python 3.10.9 cannot be used on Windows 7 or earlier.

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  • Python 3.9.16 — Dec. 6, 2022

    Note that Python 3.9.16 cannot be used on Windows 7 or earlier.

    • No files for this release.
  • Python 3.8.16 — Dec. 6, 2022

    Note that Python 3.8.16 cannot be used on Windows XP or earlier.

    • No files for this release.
  • Python 3.7.16 — Dec. 6, 2022

    Note that Python 3.7.16 cannot be used on Windows XP or earlier.

    • No files for this release.
  • Python 3.11.0 — Oct. 24, 2022

    Note that Python 3.11.0 cannot be used on Windows 7 or earlier.

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  • Python 3.9.15 — Oct. 11, 2022

    Note that Python 3.9.15 cannot be used on Windows 7 or earlier.

    • No files for this release.
  • Python 3.8.15 — Oct. 11, 2022

    Note that Python 3.8.15 cannot be used on Windows XP or earlier.

    • No files for this release.
  • Python 3.10.8 — Oct. 11, 2022

    Note that Python 3.10.8 cannot be used on Windows 7 or earlier.

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  • Python 3.7.15 — Oct. 11, 2022

    Note that Python 3.7.15 cannot be used on Windows XP or earlier.

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  • Python 3.7.14 — Sept. 6, 2022

    Note that Python 3.7.14 cannot be used on Windows XP or earlier.

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  • Python 3.8.14 — Sept. 6, 2022

    Note that Python 3.8.14 cannot be used on Windows XP or earlier.

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  • Python 3.9.14 — Sept. 6, 2022

    Note that Python 3.9.14 cannot be used on Windows 7 or earlier.

    • No files for this release.
  • Python 3.10.7 — Sept. 6, 2022

    Note that Python 3.10.7 cannot be used on Windows 7 or earlier.

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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

    Note that Python 3.8.13 cannot be used on Windows XP or earlier.

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  • Python 3.7.13 — March 16, 2022

    Note that Python 3.7.13 cannot be used on Windows XP or earlier.

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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

    Note that Python 3.7.12 cannot be used on Windows XP or earlier.

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  • Python 3.6.15 — Sept. 4, 2021

    Note that Python 3.6.15 cannot be used on Windows XP or earlier.

    • No files for this release.
  • 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

    Note that Python 3.9.6 cannot be used on Windows 7 or earlier.

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  • Python 3.8.11 — June 28, 2021

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  • Python 3.6.14 — June 28, 2021

    Note that Python 3.6.14 cannot be used on Windows XP or earlier.

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  • Python 3.7.11 — June 28, 2021

    Note that Python 3.7.11 cannot be used on Windows XP or earlier.

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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

    Note that Python 3.8.9 cannot be used on Windows XP or earlier.

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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

    Note that Python 3.7.10 cannot be used on Windows XP or earlier.

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  • Python 3.8.7 — Dec. 21, 2020

    Note that Python 3.8.7 cannot be used on Windows XP or earlier.

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  • Python 3.9.1 — Dec. 7, 2020

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  • Python 3.9.0 — Oct. 5, 2020

    Note that Python 3.9.0 cannot be used on Windows 7 or earlier.

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  • Python 3.8.6 — Sept. 24, 2020

    Note that Python 3.8.6 cannot be used on Windows XP or earlier.

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  • Python 3.8.6rc1 — Sept. 8, 2020

    Note that Python 3.8.6rc1 cannot be used on Windows XP or earlier.

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  • Python 3.5.10 — Sept. 5, 2020

    Note that Python 3.5.10 cannot be used on Windows XP or earlier.

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  • Python 3.7.9 — Aug. 17, 2020

    Note that Python 3.7.9 cannot be used on Windows XP or earlier.

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  • Python 3.6.12 — Aug. 17, 2020

    Note that Python 3.6.12 cannot be used on Windows XP or earlier.

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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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    • No files for this release.
  • Python 3.5.9 — Nov. 2, 2019

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    • No files for this release.
  • Python 3.5.8 — Oct. 29, 2019

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    • No files for this release.
  • 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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    • No files for this release.
  • Python 3.7.3 — March 25, 2019

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  • Python 3.4.10 — March 18, 2019

    • No files for this release.
  • Python 3.5.7 — March 18, 2019

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    • No files for this release.
  • 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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    • No files for this release.
  • Python 3.4.9 — Aug. 2, 2018

    • No files for this release.
  • 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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    • No files for this release.
  • 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

    • No files for this release.
  • Python 3.5.3 — Jan. 17, 2017

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  • Python 3.6.0 — Dec. 23, 2016

    Note that Python 3.6.0 cannot be used on Windows XP or earlier.

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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

    Note that Python 3.5.2 cannot be used on Windows XP or earlier.

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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

    • No files for this release.
  • 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

    • No files for this release.
  • Python 3.1.5 — April 9, 2012

    • No files for this release.
  • 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

    • No files for this release.
  • 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

    • No files for this release.
  • 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

    • No files for this release.
  • 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

    • No files for this release.
  • Python 2.4.5 — March 11, 2008

    • No files for this release.
  • 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

    • No files for this release.
  • 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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    This lets you browse the standard library (the subdirectory Lib)
    and the standard collections of tools
    (Tools) that come with it. There’s a lot you can learn from the
    source!

Want to contribute?

Want to contribute? See the Python Developer’s Guide
to learn about how Python development is managed.

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Python — самый популярный язык программирования, на котором разрабатывают ИИ, игры и сложные системы. Разбираемся с его установкой.

Иллюстрация: Skillbox Media

Дмитрий Зверев

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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.

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Интерфейс Replit
Скриншот: Skillbox Media

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Интерфейс Programiz
Скриншот: Skillbox Media

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Интерфейс Online Python
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.

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Скриншот: Python Software Foundation / Skillbox Media

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:

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Когда всё установится, вы увидите окно завершения инсталляции:

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Теперь проверим, что Python действительно установлен. Для этого откроем окно «Выполнить» сочетанием клавиш Win + R и введём cmd:

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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:

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Последние версии языка не поддерживаются Windows 7 и более старыми ОС
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

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Вместо версии 3.9.12 у вас может быть версия, например, 2.7.18
Скриншот: Skillbox Media

В любом случае лучше установить последнюю версию Python — найти её можно на официальном сайте.

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Последняя версия на момент написания статьи — 3.11.2
Скриншот: Python Software Foundation / Skillbox Media

Нажмите жёлтую кнопку Download Python 3.11.2, и пакет начнёт скачиваться:

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Когда загрузка завершится, откройте его:

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Согласитесь со всеми пунктами и переходите к установке. Вас попросят ввести пароль, а после — начнётся установка, по окончании которой вы увидите такое окно:

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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:

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Нажимаем огромную зелёную кнопку «Скачать»
Скриншот: Anaconda Inc. / Skillbox Media

Затем откройте установщик, согласитесь со всеми пунктами и выберите место для установки.

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Так выглядит сообщение об успешной установке Anaconda
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:

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Если можем писать код, значит, всё работает как нужно
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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.

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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:

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Скриншот: JetBrains / Skillbox Media

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:

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Дальше начнётся загрузка файла. Ждём, а затем открываем его:

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Перетаскиваем в папку Applications — готово.

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PyCharm установлена, можно создавать проекты и начинать программировать.

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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.

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Бесплатный курс: «Быстрый старт в Python»
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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.

Кинга Идем в IT: пошаговый план для смены профессии

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Шаг 1: Скачивание установочного файла Python

Первое, что нужно сделать, это скачать установочный файл Python с официального сайта. Вот как это сделать:

  1. Перейдите на официальный сайт Python по адресу python.org. Этот сайт является основным источником для загрузки Python и содержит множество полезной информации и документации.
  2. 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.
  3. 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:

  1. Откройте скачанный файл. Появится окно установщика. Это окно предложит вам несколько опций, таких как установка для всех пользователей или только для текущего.
  2. 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.
  3. Нажмите «Install Now» для начала установки. Установщик начнет копировать файлы и настраивать систему.
  4. 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:

  1. Откройте «Панель управления» и перейдите в раздел «Система и безопасность». Это можно сделать, нажав кнопку «Пуск» и выбрав соответствующий пункт меню.
  2. Выберите «Система» и затем «Дополнительные параметры системы» в левой части окна. Откроется новое окно с настройками системы.
  3. В открывшемся окне нажмите на кнопку «Переменные среды». Это откроет еще одно окно, где вы сможете редактировать переменные окружения.
  4. В разделе «Системные переменные» найдите переменную «Path» и дважды щелкните по ней. Откроется окно редактирования переменной Path.
  5. 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.
  6. 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:

  1. Откройте командную строку (нажмите Win+R, введите cmd и нажмите Enter). Командная строка — это текстовый интерфейс, который позволяет вам вводить команды для управления системой.
  2. Введите команду python --version и нажмите Enter. Если установка прошла успешно, вы увидите версию Python. Например, это может быть что-то вроде Python 3.9.1.
  3. Также рекомендуется установить менеджер пакетов pip, если он не был установлен автоматически. Введите команду python -m ensurepip для 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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Unofficial Python Installers for Windows 7 SP1 and Windows Server 2008 R2 SP1

Officially, Python 3.9 and above are not supported on Windows 7 SP1 and Windows Server 2008 R2 SP1. Here, you can obtain unofficial Windows installers that bring back support for these older Windows versions.

Note: Windows update KB2533623 must be installed for Python to run. Ensure that your computer is up-to-date via Windows Update. Alternatively, you can manually install update KB3063858, which supersedes KB2533623. Update KB3063858 can be obtained at the following link for 32-bit Windows or 64-bit Windows.

For each Python version, this repository includes the following.

  • 64-bit executable installer (e.g. python-3.9.0-amd64-full.exe)
  • 32-bit executable installer (e.g. python-3.9.0-full.exe)
  • 64-bit embeddable zip file (e.g. python-3.9.0-embed-amd64.zip)
  • 32-bit embeddable zip file (e.g. python-3.9.0-embed-win32.zip)
  • 64-bit NuGet package (e.g. python.3.9.0.nupkg)
  • 32-bit NuGet package (e.g. pythonx86.3.9.0.nupkg)
  • 64-bit free-threaded NuGet package (e.g. python-freethreaded.3.13.0.nupkg) (since 3.13)
  • 32-bit free-threaded NuGet package (e.g. pythonx86-freethreaded.3.13.0.nupkg) (since 3.13)
  • Windows help file (e.g. python390.chm) (3.9 and 3.10 only)

For the more technical among you, these installers were built from the source distributions published at https://www.python.org/downloads/source/, with the following modifications.

  • Include the file api-ms-win-core-path-l1-1-0.dll in the distribution. This file was obtained from https://github.com/nalexandru/api-ms-win-core-path-HACK and is necessary for Python to run on older Windows versions.
  • Create full installers that include all components to allow for a fully offline installation. These include debug symbols, debug binaries, and the Universal CRT. For Python 3.13 or higher, these include the experimental free-threaded build as well.
  • Allow the installer to proceed on Windows 7 SP1 and Windows Server 2008 R2 SP1.
  • For Python 3.11 or higher, modify the Python source code to restore compatibility with Windows 7 SP1 and Windows Server 2008 R2 SP1.
  • Fix a few bugs in the build scripts.

See Notes.md for more specific details about how I built these installers and how you may build them yourself.

NuGet Packages

To install a .nupkg package, ensure that you have the NuGet Command-Line Interface installed. Go to the directory containing the .nupkg file. Replace target\installation\directory in the following commands with the desired location to install the package.

Command Prompt

For 64-bit Python, run nuget install python -Source %cd% -OutputDirectory target\installation\directory

For 32-bit Python, run nuget install pythonx86 -Source %cd% -OutputDirectory target\installation\directory

PowerShell

For 64-bit Python, run nuget install python -Source $(Get-Location) -OutputDirectory target\installation\directory

For 32-bit Python, run nuget install pythonx86 -Source $(Get-Location) -OutputDirectory target\installation\directory

Git History

In an effort to keep the size of this repository low, the Git history will not be kept. Updates will be made via force-pushes. If you fork this repository and wish to update your fork, see https://stackoverflow.com/questions/9646167/clean-up-a-fork-and-restart-it-from-the-upstream.

License

These files are provided under the MIT License. See LICENSE.txt.

Who am I

I am Aohan Dang (https://www.linkedin.com/in/aohan-dang-536643a7/), a professional software developer and Python enthusiast.

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