Windows embeddable package 64 bit что это

Windows embeddable package 64 bit (пакет для встраивания Windows 64 бит) – это специальный набор компонентов операционной системы Windows, предназначенный для встраивания в другие программные продукты или системы. Этот пакет содержит все необходимые компоненты для запуска приложений, разработанных на платформе Windows, и позволяет создавать автономные исполняемые файлы, которые могут быть запущены на компьютерах без предустановленной операционной системы Windows.

Windows embeddable package 64 bit широко используется разработчиками и инженерами для создания встраиваемых систем, таких как системные платы, промышленные контроллеры, медицинские устройства и другие. Эти системы обычно требуют надежного и стабильного программного обеспечения, способного работать в экстремальных условиях и обеспечивать высокую производительность.

Чтобы использовать Windows embeddable package 64 bit, разработчику необходимо загрузить и установить пакет на своем компьютере. После этого можно создавать программы, используя стандартные инструменты разработки для Windows, такие как Visual Studio. При разработке приложений важно учитывать особенности встраиваемых систем, такие как небольшой объем памяти и ограниченные вычислительные ресурсы, чтобы обеспечить оптимальную производительность и стабильность приложения на целевой системе.

Содержание

  1. Windows embeddable package 64 bit
  2. Определение и назначение
  3. Преимущества использования
  4. Как установить Windows embeddable package 64 bit

Windows embeddable package 64 bit

Windows embeddable package 64 bit представляет собой специальную версию операционной системы Microsoft Windows, предназначенную для встраивания в другие программные продукты и устройства.

Обычно Windows embeddable package 64 bit используется разработчиками для интеграции операционной системы в свои собственные приложения или устройства. Это позволяет создавать самостоятельные и автономные системы, основанные на Windows, с минимальными затратами ресурсов и возможностью полного управления функциями операционной системы.

Windows embeddable package 64 bit включает в себя только необходимый набор компонентов и функциональности, что позволяет разработчикам создавать компактные и оптимизированные системы. Это особенно важно для устройств с ограниченными ресурсами, таких как встраиваемые системы в автомобилях, промышленные машины или мобильные устройства.

Использование Windows embeddable package 64 bit позволяет разработчикам создавать свои собственные пользовательские интерфейсы или адаптировать существующие под свои нужды. Операционная система Windows предоставляет разнообразные инструменты для разработки приложений и управления устройствами, что делает ее привлекательным выбором для создания встраиваемых систем.

Основные преимущества Windows embeddable package 64 bit:

  • Компактность и оптимизация
  • Полная гибкость и настраиваемость
  • Широкий набор инструментов для разработки и управления
  • Низкие требования к ресурсам системы

Windows embeddable package 64 bit представляет собой мощное средство для разработки встраиваемых систем, которые должны быть надежными, эффективными и гибкими. Оно позволяет создавать инновационные и уникальные решения в различных областях, где требуется использование операционной системы Windows.

Определение и назначение

Эти пакеты предлагают различные библиотеки и компоненты, которые могут быть использованы разработчиками для создания собственных приложений или расширения функциональности существующих программ.

Преимущество использования Windows embeddable package 64 bit в том, что он обеспечивает удобство и гибкость встраивания различных функций в приложения и системы без необходимости создания исходного кода с нуля.

Такие пакеты обычно включают в себя библиотеки для работы с графикой, звуком, базами данных, сетевыми протоколами и другими компонентами операционной системы Windows. Они также могут содержать исполняемые файлы, драйверы и различные инструменты для разработки приложений.

Windows embeddable package 64 bit позволяет разработчикам упростить процесс создания приложений, сократить время разработки и обеспечить совместимость с определенной архитектурой операционной системы Windows. Он удобно используется в таких областях, как встраиваемые системы, разработка программного обеспечения и создание расширений для существующих приложений.

В целом, Windows embeddable package 64 bit является полезным инструментом для разработчиков, позволяющим использовать готовые компоненты и библиотеки для создания более мощных и функциональных приложений под операционную систему Windows.

Преимущества использования

1. Удобство и простота

Windows embeddable package 64 bit обеспечивает удобство и простоту в использовании. Благодаря этому пакету, разработчики могут легко внедрять и развивать приложения, используя готовые компоненты и библиотеки.

2. Высокая производительность

Встроенный пакет Windows 64 bit обеспечивает высокую производительность приложений. Он оптимизирован для работы на 64-битных системах и может обеспечить более быструю обработку данных и выполнение задач.

3. Расширяемость

Этот пакет предлагает широкие возможности для расширения приложений. Он включает в себя инструменты и функциональность, позволяющую добавлять новые функции и модули, что позволяет сделать ваше приложение более гибким и адаптивным.

4. Большой выбор инструментов и библиотек

Встроенный пакет Windows 64 bit предоставляет обширный набор инструментов и библиотек для разработки приложений. Это позволяет разработчикам использовать готовые решения и сэкономить время и усилия на создание их собственного кода.

5. Совместимость

Windows embeddable package 64 bit совместим с другими современными технологиями, такими как .NET Framework, ASP.NET, и другими популярными платформами разработки ПО. Это обеспечивает возможность интеграции существующих приложений и систем.

6. Обновления и поддержка

Microsoft регулярно обновляет и поддерживает пакет Windows 64 bit, обеспечивая безопасность и исправление ошибок. Это обеспечивает стабильную работу приложений и минимизирует риски возникновения проблем и уязвимостей.

В целом, использование Windows embeddable package 64 bit позволяет разработчикам создавать эффективные и мощные приложения, улучшать их производительность и готовность к использованию, а также повышать удобство и гибкость внедрения. Этот пакет предлагает всестороннюю поддержку и отличную совместимость с другими технологиями, что делает его отличным выбором для разработчиков ПО.

Как установить Windows embeddable package 64 bit

Примечание: перед установкой убедитесь, что ваш компьютер соответствует системным требованиям для работы с Windows embeddable package 64 bit.

Шаг 1: Посетите официальный сайт Microsoft и перейдите на страницу загрузки Windows embeddable package 64 bit.

Шаг 2: Нажмите на ссылку для скачивания пакета.

Шаг 3: После завершения загрузки откройте файл установки.

Шаг 4: Запустите установочный файл и следуйте инструкциям мастера установки.

Шаг 5: На этапе выбора компонентов установите флажок рядом с Windows embeddable package 64 bit.

Шаг 6: Дождитесь завершения установки. После этого вы сможете начать использовать Windows embeddable package 64 bit для разработки ваших встроенных систем на базе Windows.

Теперь вы знаете, как установить Windows embeddable package 64 bit и готовы приступить к разработке применений на базе этого пакета.

Источник

The executable installers provide the full Python Developer Kit; the embeddable package contains the runtime dependencies; nuget packages allow easy use of Python as a build tool; and site extensions for Azure App Service make it easier to manage Python as a web server dependency.

How do I use python windows embeddable package?

Download the embeddable zip file from the link https://www.python.org/downloads/release/python-374/.

  1. Extract the archive or zip file into a physical drive location. Let’s say under C drive.
  2. Add Python root directory to Environment or System Variable. Go to search box next to Start menu.

How do I install python after downloading a zip file?

For more information, see Python Setuptools.

  1. Download the pynrfjprog zip file.
  2. Extract the compressed zip file and open a Command Prompt window within that directory.
  3. Type python setup.py install at the Command Prompt. The content of the package will be added to the Python defaults directory.

What is Windows embeddable package?

The Microsoft Store package is a simple installation of Python that is suitable for running scripts and packages, and using IDLE or other development environments. The embeddable package is a minimal package of Python suitable for embedding into a larger application.

What is embeddable zip file Python?

The embeddable package. New in version 3.5. The embedded distribution is a ZIP file containing a minimal Python environment. It is intended for acting as part of another application, rather than being directly accessed by end-users.

What is x86 64 executable installer?

In addition to the 32-bit (“x86”) and 64-bit (“x86-64”) versions already mentioned, you can choose from the embeddable zip file, the executable installer, and the web-based installer. The executable installer is just an . EXE file that runs the setup process for Python.

What is an embeddable package?

The embeddable package is a minimal package of Python suitable for embedding into a larger application.

What is picture in picture do?

Picture-in-picture shrinks the video into a small player that you can move around your home screen and position over other apps. The video will shrink into a PiP window. The PiP window can be dragged to different parts of the screen, allowing playback to continue on top of other apps.

How to install embeddable ZIP Python in Windows?

Here we will see how to install embeddable zip Python in Windows Operating System. Generally most of the time we execute msi or executable file to install a product in Windows Operating System. This is just a matter of extracting the downloaded archive or zip file and put anywhere according to your choice and let’s start with programming in Python.

Can you install Pip in an embeddable ZIP file?

The embeddable zip file does not include pip. So how do you install packages? If you didn’t read the last sentence of the previous section, here it is again: the embeddable zip file contains the minimum Python runtime for an application to install by itself.

How to get Python’s windows embeddable distribution file?

Get the distribution 1 Go to https://www.python.org/downloads/windows/ 2 Choose the version python you like and download the corresponding Windows x86-64 embeddable zip file. 3 Unzip the file.

How does Python embeddable ZIP work in virtualenv?

Python embeddable zip. the embedded distribution is (almost) fully isolated from the user’s system, including environment variables, system registry settings, and installed package Given this, in Windows there are now two isolated Python environments, the second being the standard Virtualenv. The same process in Virtualenv is like follows:

How do I use Python Windows x86 64 embeddable zip file?

1 Answer

  1. Download the . zip file (e.g. [Python]: python-3.6. 5-embed-amd64. zip) on your computer, in an empty dir (on my machine it’s: “e:\Work\Dev\StackOverflow8078\python36x64”)
  2. Unzip the file (some (. pyd, . dll, .exe, . zip, . _pth) files will appear). At the end, you can delete the .

How do I use python Windows embeddable package?

What is Python used for?

Python is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis. Python is a general purpose language, meaning it can be used to create a variety of different programs and isn’t specialized for any specific problems.

Источник

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  • Latest Python 3 Release — Python 3.12.0

Stable Releases

  • Python 3.12.0 — Oct. 2, 2023

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

    • Download Windows embeddable package (32-bit)
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    • Download Windows embeddable package (ARM64)
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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.

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  • Python 3.10.12 — June 6, 2023

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

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  • 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.

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  • 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.

    • Download Windows embeddable package (32-bit)
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    • Download Windows help file
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  • Python 3.11.3 — April 5, 2023

    Note that Python 3.11.3 cannot be used on Windows 7 or earlier.

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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.

    • Download Windows embeddable package (32-bit)
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  • Python 3.11.2 — Feb. 8, 2023

    Note that Python 3.11.2 cannot be used on Windows 7 or earlier.

    • Download Windows embeddable package (32-bit)
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  • Python 3.11.1 — Dec. 6, 2022

    Note that Python 3.11.1 cannot be used on Windows 7 or earlier.

    • Download Windows embeddable package (32-bit)
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    • Download Windows installer (ARM64)
  • Python 3.10.9 — Dec. 6, 2022

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

    • Download Windows embeddable package (32-bit)
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    • Download Windows help file
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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.

    • Download Windows embeddable package (32-bit)
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    • Download Windows embeddable package (ARM64)
    • Download Windows installer (32 -bit)
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    • Download Windows installer (ARM64)
  • 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.

    • Download Windows embeddable package (32-bit)
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    • Download Windows help file
    • Download Windows installer (32 -bit)
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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.

    • No files for this release.
  • Python 3.7.14 — Sept. 6, 2022

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

    • No files for this release.
  • Python 3.8.14 — Sept. 6, 2022

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

    • No files for this release.
  • 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.

    • Download Windows embeddable package (32-bit)
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  • Python 3.10.6 — Aug. 2, 2022

    Note that Python 3.10.6 cannot be used on Windows 7 or earlier.

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  • Python 3.10.5 — June 6, 2022

    Note that Python 3.10.5 cannot be used on Windows 7 or earlier.

    • Download Windows embeddable package (32-bit)
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  • Python 3.9.13 — May 17, 2022

    Note that Python 3.9.13 cannot be used on Windows 7 or earlier.

    • Download Windows embeddable package (32-bit)
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  • Python 3.10.4 — March 24, 2022

    Note that Python 3.10.4 cannot be used on Windows 7 or earlier.

    • Download Windows embeddable package (32-bit)
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    • Download Windows help file
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  • Python 3.9.12 — March 23, 2022

    Note that Python 3.9.12 cannot be used on Windows 7 or earlier.

    • Download Windows embeddable package (32-bit)
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    • Download Windows help file
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  • Python 3.10.3 — March 16, 2022

    Note that Python 3.10.3 cannot be used on Windows 7 or earlier.

    • Download Windows embeddable package (32-bit)
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    • Download Windows help file
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  • Python 3.9.11 — March 16, 2022

    Note that Python 3.9.11 cannot be used on Windows 7 or earlier.

    • Download Windows embeddable package (32-bit)
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    • Download Windows help file
    • Download Windows installer (32-bit)
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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.

    • No files for this release.
  • Python 3.7.13 — March 16, 2022

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

    • No files for this release.
  • Python 3.9.10 — Jan. 14, 2022

    Note that Python 3.9.10 cannot be used on Windows 7 or earlier.

    • Download Windows embeddable package (32-bit)
    • Download Windows embeddable package (64-bit)
    • Download Windows help file
    • Download Windows installer (32-bit)
    • Download Windows installer (64-bit)
  • Python 3.10.2 — Jan. 14, 2022

    Note that Python 3.10.2 cannot be used on Windows 7 or earlier.

    • Download Windows embeddable package (32-bit)
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    • Download Windows help file
    • Download Windows installer (32-bit)
    • Download Windows installer (64-bit)
  • Python 3.10.1 — Dec. 6, 2021

    Note that Python 3.10.1 cannot be used on Windows 7 or earlier.

    • Download Windows embeddable package (32-bit)
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    • Download Windows embeddable package (ARM64)
    • Download Windows help file
    • Download Windows installer (32 -bit)
    • Download Windows installer (64-bit)
  • Python 3.9.9 — Nov. 15, 2021

    Note that Python 3.9.9 cannot be used on Windows 7 or earlier.

    • Download Windows embeddable package (32-bit)
    • Download Windows embeddable package (64-bit)
    • Download Windows help file
    • Download Windows installer (32-bit)
    • Download Windows installer (64-bit)
  • Python 3.9.8 — Nov. 5, 2021

    Note that Python 3.9.8 cannot be used on Windows 7 or earlier.

    • Download Windows embeddable package (32-bit)
    • Download Windows embeddable package (64-bit)
    • Download Windows help file
    • Download Windows installer (32-bit)
    • Download Windows installer (64-bit)
  • Python 3.10.0 — Oct. 4, 2021

    Note that Python 3.10.0 cannot be used on Windows 7 or earlier.

    • Download Windows embeddable package (32-bit)
    • Download Windows embeddable package (64-bit)
    • Download Windows help file
    • Download Windows installer (32-bit)
    • Download Windows installer (64-bit)
  • Python 3.7.12 — Sept. 4, 2021

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

    • No files for this release.
  • 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

    Note that Python 3.9.7 cannot be used on Windows 7 or earlier.

    • Download Windows embeddable package (32-bit)
    • Download Windows embeddable package (64-bit)
    • Download Windows help file
    • Download Windows installer (32-bit)
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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 3.7.11 — June 28, 2021

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  • Python 3.6.14 — 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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  • 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 3.3.2 — May 15, 2013

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  • Python 3.2.5 — 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 2.6.8 — April 10, 2012

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  • Python 3.2.3 — 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 2.7.1 — Nov. 27, 2010

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  • Python 3.1.3 — 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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Pre-releases

  • 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 3.7.4rc1 — June 18, 2019

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  • Python 3.6.9rc1 — 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 3.6.4rc1 — Dec. 5, 2017

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  • Python 3.7.0a3 — 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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Источник

Windows Embeddable Python with virtualenv support

The repository contains code to repackage Windows Embeddable version of Python with virtualenv.

What is Windows Embeddable Python?

Windows Embeddable Python is a minimalistic Python distribution suitable for bundling Python inside applications for Windows.

The package is stored in downloads: https://www.python.org/downloads

The name of the package is: Windows x86-64 embeddable zip file

Why is it necessary to repackage ZIP with Embeddable Python?

The official version has the following limitations:

  • the package does not contain pip
  • the package does not support virtualenv
  • resolution of module path behaves slightly different
    • more details: https://dev.to/fpim/setting-up-python-s-windows-embeddable-distribution-properly-1081

How it works

  • download and unpack Windows Embeddable Python
  • extract content of pythonYY.zip to Lib, remove pythonYY.zip
  • remove pythonYY._pth file
    • this file controls behavior of imports when starting Python
  • download get-pip.py and install pip
  • pip install virtualenv
  • download or use full version of python and copy Lib\venv\scripts\nt\*.exe to python bundle
    • during the creation of virtualenv these python.exe and pythonw.exe files are being copied to virtual environment location
    • these two files are different from python.exe and pythonw.exe in the top Python directory

How to build

PowerShell:

.\Bundle-Python.ps1 -PythonVersion 3.8.6

Result Python distribution will be available in python directory.

How to build with GitHub Actions

Check the version of Python in .github/workflow/bundle-python.yaml.
Commit the change and check Actions at GitHub.com.
Zip file with the result will be available as artifact in build details.

Источник

Posted: 6th November 2016
Category: Python
Tags: python, windows

Those who have been following Python development on Windows recently will be aware that I’ve been actively redeveloping the installer. And if you’ve been watching closely you’ll know that there are now many more ways to install the official python.org release than in the past, not even including distributions such as WinPython or Anaconda.

In this post, I’m going to discuss each of the ways you can install the official releases of Python (since version 3.5), provide some context on when and why you would choose one over another, and discuss the positives and negatives of each approach.

History

Historically, there was one single MSI installer available that was intended to cover the needs of all Python users.

Python 3.4.4 installer

This installer would allow you to select a target directory and some features from its user interface or the command line (if you know the magic words), and would generally install the full distribution with all entry points (shortcuts, etc.).

Unfortunately, due to the nature of how MSIs work, there are some limitations that affect the user experience. The most major of these is the fact that MSIs cannot decide whether elevate as part of the install — it has to be hardcoded. As a result, the old installer always requires administrative privileges just in case you choose to install for all users. This prevents installation of Python on machines where you do not have full control over the system.

Secondly, while Python is often seen as one monolithic package, it is actually made up of a number of unrelated components. For example, the test suite is often not required for correct operation, nor is the documentation and often the development headers and libraries. While MSIs do support optional features, they tend to encounter issues when performing upgrades between versions (such as forgetting which options you had selected), and in general you always need to carry around the optional components even if you’re never going to install them.

Finally, some operations that are not simple file installations can be complicated. For example, when pip is installed or the standard library is precompiled, the MSI executes a background task rather than normally installing files. Without careful configuration of the MSI, these files will not be properly uninstalled or repaired, and issues in the extraction process can cause the entire task to fail. At worst, the uninstall step could fail, which can make it impossible to uninstall Python.

Modern Era

The issues described above have been addressed by the installers available since Python 3.5. However, there are also other uses for Python that do not lend themselves to a regular installer. For example, applications that want to include Python as a runtime dependency may not want to install a global copy of Python, build machines may require semi-public but non-conflicting installs of different versions, and platform-as-a-service web hosts may not allow normal installers.

Since Python 3.5.2, the official Python releases have been made available as executable installers, embeddable ZIP packages, nuget packages and Azure site extensions. There are also a range of third-party distributions that include the official Python binaries, along with other useful tools or libraries.

How do I know if a third-party distribution has the official binaries? Find the install directory, right-click each of the exe, dll or pyd files and select Properties, then Digital Signatures. If the signature is from the Python Software Foundation, it’s the official binary and has not been modified. If there is a different signature or no signature, it may not be the same as what is released on python.org.

The Python Software Foundation certificate

Executable installers

The executable installers are the main way that users download Python, and are the featured downloads at python.org. I think of these as the Python Developer Kit.

Python 3.5.0 installer

These installers provide the most flexible user interface, include all dependencies such as system updates and the Python launcher, generate shortcuts for the interpreter, the manuals and the IDLE editor, and correctly support upgrades without forgetting about feature selection.

Two versions of the executable installer are available for any given release — one labelled “executable installer” and the other “web-based installer”.

The web-based installer is typically a small initial download (around 1MB), which gets you the installer UI shown above. After you have selected or deselected optional components, the minimum set of packages necessary to install Python will be downloaded and installed. This makes it easy to minimize overall download size since unused or unnecessary components are never downloaded, though it does require that you be connected to the internet at install time. (There’s also a command-line option to download all the packages you may ever need, which will then be used later instead of downloading them over and over again.)

The other installer includes the default set of features in the EXE itself. As a result, the initial download is around 30MB, but in most cases you can install without requiring any further internet access. For a single installation, your download will likely be 3-5MB larger compared to using the web-based installer, but if you use it to install on multiple machines then you’ll likely come out ahead.

Both executable installers result in identical installations and can be automated with identical command-line options. As I mentioned above, I think of this as the Python Developer Kit, which is why there are optional features to download debugging symbols or a complete debug build, which are not available in any other options. The Python Developer Kit provides everything necessary for someone to develop a complete Python application.

What about having a single MSI installer? There’s a section coming up about this. Just keep reading.

Embeddable package

If the executable installer is the Python Developer Kit, then the embeddable package is the Python runtime redistributable. Rather than trying to be an easy-to-use installer, this package is a simple ZIP file containing the bare minimum of Python required to run applications. This includes the python[w].exe executables, the python35.dll (or later) and python3.dll modules, the standard library extension modules (*.pyd), and a precompiled copy of the standard library stored in another ZIP file.

The resulting package is about 7MB to download and around 12MB when extracted. Documentation, tools, and shortcuts are not included, and the embeddable package does not reliably build and install packages. However, once your application is ready, rather than instructing users to install Python themselves, you can include the contents of this package in your own installer. (For example, Microsoft’s command-line tools for Azure will likely do this, and installers created using pynsist can include this package automatically.)

Using the embeddable package allows you to distribute applications on Windows that use Python as a runtime without exposing it to your users. By default, a configuration file is also included to force the use of isolated mode and prevents environment variables and registry settings from affecting it (python36._pth on Python 3.6; pyvenv.cfg for Python 3.5). On Python 3.6 this file can also specify additional search paths. If your application is hosting Python, you can also choose not to distribute python.exe or any extension modules that are not used in your application.

There is no support for pip, setuptools or distutils in the embeddable package, since the idea is that you will develop against the Python Developer Kit and then lock your dependencies when you release your application. Depending on the installer technology you are using for your application, you will probably vendor any third-party packages by copying them directly into the directory with your Python code.

See this blog post for more information about how to take advantage of the embeddable distribution.

Nuget package

Nuget is a packaging technology typically used on Windows to manage development dependencies. There are many packages available as source code or pre-built binaries, mostly for .NET assemblies, as well as build tools and extensions.

There are four Python packages available on nuget, released under my name (steve.dower) but built as part of the official python.org releases. The packages are:

  • python — the latest 3.x 64-bit
  • pythonx86 — the latest 3.x 32-bit
  • python2 — the latest 2.x 64-bit
  • python2x86 — the latest 2.x 32-bit

These may be referenced by projects in Visual Studio or directly using nuget.exe to easily install a copy of Python into a build directory. It will typically install into a directory like packages\python.3.5.2\tools\python.exe, though this can often be customised.

rem Install Python 2.7
nuget.exe install -OutputDirectory packages python2

rem Add -Prerelease to get Python 3.6
nuget.exe install -OutputDirectory packages -Prerelease python

rem More options are available
nuget.exe install -Help

The contents of the nuget package is somewhere between the full installation and the embeddable package. The headers, libs and pip are included so that you can install dependencies or build your own modules. The standard library is not zipped, but also does not include the CPython test suite or libraries intended for user interaction. Operating system updates are not included, so you will need to ensure your build machine is up to date before using these packages.

There is no configuration in these packages to restrict search paths or environment variables, as these are very important to control in build definitions. As a result, there is a high likelihood that a regular installation of Python may conflict with these packages. In general, it’s best to avoid installing Python on build machines where you are using these packages. If you need a full installation, avoid using the nuget packages or test for conflicts thoroughly. (Note that conflicts typically only occur within the same x.y version, so you can safely install 2.7 and use the 3.5 nuget packages.)

Azure Site Extensions

Update 2019: These packages have been deprecated and removed. This section is of historical interest only.

Note: This particular package is released by Microsoft and is managed by my team there. The Python Software Foundation is not responsible for this package.

Azure App Service is a platform-as-a-service offering for web services (including web apps, mobile backends, and triggered jobs). It uses site extensions to customise and enhance your web services, including a range of Python versions to simplify configuration of Python-based servers.

Because web services are sensitive to even the smallest change in a dependency, each version is available as its own package. This allows you to be confident that when your site uses one of these it is not going to change without you explicitly updating your site. The current packages available at time of writing are:

  • python352x64
  • python352x86
  • python351x64
  • python2712x64
  • python2712x86
  • python2711x64

The contents of these packages is almost entirely unmodified from the official python.org releases. Some extra files for correct installation, configuration and behaviour of the web server are included, as well as copies of pip, setuptools, and certifi. Occasionally a package will include targeted patches to fix or work around issues with the platform, but we always aim to upstream fixes as soon as possible. Under the hood, these are simply nuget packages that can also be installed using nuget.exe on any copy of Windows.

C:\> nuget.exe list python -Source https://www.siteextensions.net/api/v2/
python2711x64 2.7.11.3
python2712x64 2.7.12.2
python2712x86 2.7.12.1
python351x64 3.5.1.6
python352x64 3.5.2.2
python352x86 3.5.2.1

Visit aka.ms/PythonOnAppService for the most up-to-date information about how to use these packages on Azure App Service.

Hypothetical Futures

While that covers the current set of available installers, there are some further use-cases that are not as well served. In this section I will briefly discuss the cases that I am currently aware of and their status. There are no promises that official installation packages for these will ever be produced (bearing in mind that Python is developed almost entirely by volunteers with limited free time), but there is also nothing preventing third-parties from producing and distributing these formats.

Are you already distributing Python in any of these formats? Let me know and I’m happy to link to you, provided I’m not concerned about the contents of your distribution.

Nuget package for source/runtime dependency

Earlier I discussed the nuget packages as build tools, but the more common use of nuget packages is for build dependencies. Normally a project (typically a Visual Studio project, but nuget can also be used independently) will specify a dependency on a source or binary package and obtain build steps or configuration from a known location within the package.

Providing a nuget package containing either the Python source code or the embeddable package may simplify projects that host the runtime. These would predominantly be C/C++ projects rather than pure Python projects, but some installer toolkits may prefer a ready-to-embed nuget package rather than a plain ZIP file.

There has not been much demand for this particular format. In general, a C/C++ project can make equally good use of the current nuget packages, and would require those for the headers and libraries anyway, while the embeddable package is not always suitable for installation completely unmodified. These reduce the value of a dependency nuget package to nearly zero, which is why we currently don’t have one.

Universal Windows Platform

The Universal Windows Platform is part of Windows 10 and specifies a common API set that is available across all Windows devices. This includes PCs, tablets, phone, IoT Core, XBox, HoloLens, and likely any new Windows hardware into the future.

Providing a UWP package of Python would allow developers to distribute Python code across all of these platforms. Indeed, the team behind IoT Core have already provided their version of this package. However, as the API set is not always compatible with the Win32 API, this task requires supporting a new platform within Python (that is, sys.platform would return a value other than 'win32'). Currently nobody has completely adapted Python for UWP, added the extensions required to access new platform APIs, or fully implemented the deployment tools needed for this to be generally useful (though the IoT Core support is a huge step towards this).

Administrative Deployment

System administrators will often deploy software to some or all machines on their network using management tools such as Group Policy or System Center. While it is possible to remotely install from the executable installers, these tools often require or have enhanced functionality when the installer is a pure MSI.

Unfortunately, the issues and limitations of MSI described at the start of this post still apply. It is not possible for an MSI to install all required dependencies, create an MSI that can run without administrator privileges, and robustly ensure that upgrade and remove operations behave correctly. However, it would be possible to produce a suitable MSI and installation instructions for the limited use case of administrative deployment. Such a package would likely have these characteristics:

  • Fails if certain operating system updates are missing
  • Always requires administrator privileges
  • Only allows installation for all users
  • Only allows configuration at the command line (via msiexec)
  • Requires a separate task to precompile the standard library and install pip
  • Requires additional cleanup task when uninstalling
  • Prevents the executable installer from installing for all users

System administrators would be responsible for following the documentation associated with such an MSI, and I have no doubt that most are entirely capable of doing this. However, as this would not be a good experience for most users it cannot be the default or recommended installer. I’m aware that there are some people who are grieved by this, but interactive installs are vastly more common and so take priority when determining what to offer from python.org.

Summary

Installing Python on Windows has always been a fairly reliable process. The ability to select precisely which version you would like without fear of damaging system components allows a lot of confidence that is not always available on other platforms. Improvements in recent releases make it easier to install, upgrade and manage Python, even for non-administrator users.

We have a number of different formats in which Python may be obtained depending on your intended use. The executable installers provide the full Python Developer Kit; the embeddable package contains the runtime dependencies; nuget packages allow easy use of Python as a build tool; and site extensions for Azure App Service make it easier to manage Python as a web server dependency.

There is also potential to add new formats in the future, either through third-party distributions or as new maintainers volunteer their time towards core development. For an open-source project that is run almost entirely on volunteer time, Python is an amazing example of a robust, trustworthy product with as much flexibility as any professionally developed product.

Discussion of this post is welcome here in the comments. If you are having issues installing Python, please file an issue on bugs.python.org.

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