Python 64 bit windows packages

Python 3.8.10

This is the tenth and final regular maintenance release of Python 3.8

Note: The release you’re looking at is Python 3.8.10, a bugfix release for the legacy 3.8 series. Python 3.11 is now the latest feature release series of Python 3. Get the latest release of 3.11.x here.

According to the release calendar specified in PEP 569, Python 3.8.10 is the final regular maintenance release. Starting now, the 3.8 branch will only accept security fixes and releases of those will be made in source-only form until October 2024.

Compared to the 3.7 series, this last regular bugfix release is relatively dormant at 92 commits since 3.8.9. Version 3.7.8, the final regular bugfix release of Python 3.7, included 187 commits. But there’s a bunch of important updates here regardless, the biggest being Big Sur and Apple Silicon build support. This work would not have been possible without the effort of Ronald Oussoren, Ned Deily, Maxime Bélanger, and Lawrence D’Anna from Apple. Thank you!

Take a look at the change log for details.

Major new features of the 3.8 series, compared to 3.7

• PEP 572, Assignment expressions
• PEP 570, Positional-only arguments
• PEP 587, Python Initialization Configuration (improved embedding)
• PEP 590, Vectorcall: a fast calling protocol for CPython
• PEP 578, Runtime audit hooks
• PEP 574, Pickle protocol 5 with out-of-band data
• Typing-related: PEP 591 (Final qualifier), PEP 586 (Literal types), and PEP 589 (TypedDict)
• Parallel filesystem cache for compiled bytecode
• Debug builds share ABI as release builds
• f-strings support a handy = specifier for debugging
• continue is now legal in finally: blocks
• on Windows, the default asyncio event loop is now ProactorEventLoop
• on macOS, the spawn start method is now used by default in multiprocessing
• multiprocessing can now use shared memory segments to avoid pickling costs between processes
• typed_ast is merged back to CPython
• LOAD_GLOBAL is now 40% faster
• pickle now uses Protocol 4 by default, improving performance

There are many other interesting changes, please consult the «What’s New» page in the documentation for a full list.

More resources

Windows users

• The binaries for AMD64 will also work on processors that implement the Intel 64 architecture. (Also known as the «x64» architecture, and formerly known as both «EM64T» and «x86-64».)
• There are now «web-based» installers for Windows platforms; the installer will download the needed software components at installation time.
• There are redistributable zip files containing the Windows builds, making it easy to redistribute Python as part of another software package. Please see the documentation regarding Embedded Distribution for more information.

macOS users

• Python 3.8.10 ships two installers: the default 64-bit-only that works on macOS 10.9 (Mavericks) and later systems, and an experimental «universal2» installer for macOS 11 (Big Sur) and later
• Please read the «Important Information» displayed during installation for information about SSL/TLS certificate validation and the running the «Install Certificates.command».

And Now For Something Completely Different

Mr. Praline (John Cleese): ‘ELLO POLLY. Testing! Testing! This is your nine o’clock alarm call!
(Takes parrot out of the cage , throws it up in the air and watches it plummet to the floor.)
Mr. Praline: Now that’s what I call a dead parrot.
Owner (Michael Palin): No, no. No, he’s stunned!
Mr. Praline: STUNNED?!
Owner: Yeah! You stunned him, just as he was wakin’ up! Norwegian Blues stun easily, major.
Mr. Praline: Um. now look, mate. I’ve definitely ‘ad enough of this. That parrot is definitely deceased, and when I purchased it not ‘alf an hour ago, you assured me that its total lack of movement was due to it bein’ tired and shagged out following a prolonged squawk.
Owner: Well, he’s. he’s, ah. probably pining for the fjords.

Files

Version	Operating System	Description	MD5 Sum	File Size	GPG
Gzipped source tarball	Source release	83d71c304acab6c678e86e239b42fa7e	24720640	SIG
XZ compressed source tarball	Source release	d9eee4b20155553830a2025e4dcaa7b3	18433456	SIG
macOS 64-bit Intel installer	macOS	for macOS 10.9 and later	690ddb1be403a7efb202e93f3a994a49	29896827	SIG
macOS 64-bit universal2 installer	macOS	experimental, for macOS 11 Big Sur and later; recommended on Apple Silicon	ae8a1ae082074b260381c058d0336d05	37300939	SIG
Windows embeddable package (32-bit)	Windows	659adf421e90fba0f56a9631f79e70fb	7348969	SIG
Windows embeddable package (64-bit)	Windows	3acb1d7d9bde5a79f840167b166bb633	8211403	SIG
Windows help file	Windows	a06af1ff933a13f6901a75e59247cf95	8597086	SIG
Windows installer (32-bit)	Windows	b355cfc84b681ace8908ae50908e8761	27204536	SIG
Windows installer (64-bit)	Windows	Recommended	62cf1a12a5276b0259e8761d4cf4fe42	28296784	SIG

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  Installing Python Modules¶

  As a popular open source development project, Python has an active supporting community of contributors and users that also make their software available for other Python developers to use under open source license terms.

  This allows Python users to share and collaborate effectively, benefiting from the solutions others have already created to common (and sometimes even rare!) problems, as well as potentially contributing their own solutions to the common pool.

  This guide covers the installation part of the process. For a guide to creating and sharing your own Python projects, refer to the distribution guide .

  For corporate and other institutional users, be aware that many organisations have their own policies around using and contributing to open source software. Please take such policies into account when making use of the distribution and installation tools provided with Python.

  Key terms¶

  • pip is the preferred installer program. Starting with Python 3.4, it is included by default with the Python binary installers.
  • A virtual environment is a semi-isolated Python environment that allows packages to be installed for use by a particular application, rather than being installed system wide.
  • venv is the standard tool for creating virtual environments, and has been part of Python since Python 3.3. Starting with Python 3.4, it defaults to installing pip into all created virtual environments.
  • virtualenv is a third party alternative (and predecessor) to venv . It allows virtual environments to be used on versions of Python prior to 3.4, which either don’t provide venv at all, or aren’t able to automatically install pip into created environments.
  • The Python Package Index is a public repository of open source licensed packages made available for use by other Python users.
  • the Python Packaging Authority is the group of developers and documentation authors responsible for the maintenance and evolution of the standard packaging tools and the associated metadata and file format standards. They maintain a variety of tools, documentation, and issue trackers on both GitHub and Bitbucket.
  • distutils is the original build and distribution system first added to the Python standard library in 1998. While direct use of distutils is being phased out, it still laid the foundation for the current packaging and distribution infrastructure, and it not only remains part of the standard library, but its name lives on in other ways (such as the name of the mailing list used to coordinate Python packaging standards development).

  Changed in version 3.5: The use of venv is now recommended for creating virtual environments.

  Basic usage¶

  The standard packaging tools are all designed to be used from the command line.

  The following command will install the latest version of a module and its dependencies from the Python Package Index:

  python -m pip install SomePackage

  For POSIX users (including macOS and Linux users), the examples in this guide assume the use of a virtual environment .

  For Windows users, the examples in this guide assume that the option to adjust the system PATH environment variable was selected when installing Python.

  It’s also possible to specify an exact or minimum version directly on the command line. When using comparator operators such as > , < or some other special character which get interpreted by shell, the package name and the version should be enclosed within double quotes:

  python -m pip install SomePackage==1.0.4 # specific version python -m pip install "SomePackage>=1.0.4" # minimum version

  Normally, if a suitable module is already installed, attempting to install it again will have no effect. Upgrading existing modules must be requested explicitly:

  python -m pip install --upgrade SomePackage

  More information and resources regarding pip and its capabilities can be found in the Python Packaging User Guide.

  Creation of virtual environments is done through the venv module. Installing packages into an active virtual environment uses the commands shown above.

  How do I …?¶

  These are quick answers or links for some common tasks.

  … install pip in versions of Python prior to Python 3.4?¶

  Python only started bundling pip with Python 3.4. For earlier versions, pip needs to be “bootstrapped” as described in the Python Packaging User Guide.

  … install packages just for the current user?¶

  Passing the —user option to python -m pip install will install a package just for the current user, rather than for all users of the system.

  … install scientific Python packages?¶

  A number of scientific Python packages have complex binary dependencies, and aren’t currently easy to install using pip directly. At this point in time, it will often be easier for users to install these packages by other means rather than attempting to install them with pip .

  … work with multiple versions of Python installed in parallel?¶

  On Linux, macOS, and other POSIX systems, use the versioned Python commands in combination with the -m switch to run the appropriate copy of pip :

  python2 -m pip install SomePackage # default Python 2 python2.7 -m pip install SomePackage # specifically Python 2.7 python3 -m pip install SomePackage # default Python 3 python3.4 -m pip install SomePackage # specifically Python 3.4

  Appropriately versioned pip commands may also be available.

  On Windows, use the py Python launcher in combination with the -m switch:

  py -2 -m pip install SomePackage # default Python 2 py -2.7 -m pip install SomePackage # specifically Python 2.7 py -3 -m pip install SomePackage # default Python 3 py -3.4 -m pip install SomePackage # specifically Python 3.4

  Common installation issues¶

  Installing into the system Python on Linux¶

  On Linux systems, a Python installation will typically be included as part of the distribution. Installing into this Python installation requires root access to the system, and may interfere with the operation of the system package manager and other components of the system if a component is unexpectedly upgraded using pip .

  On such systems, it is often better to use a virtual environment or a per-user installation when installing packages with pip .

  Pip not installed¶

  It is possible that pip does not get installed by default. One potential fix is:

  python -m ensurepip --default-pip

  There are also additional resources for installing pip.

  Installing binary extensions¶

  Python has typically relied heavily on source based distribution, with end users being expected to compile extension modules from source as part of the installation process.

  With the introduction of support for the binary wheel format, and the ability to publish wheels for at least Windows and macOS through the Python Package Index, this problem is expected to diminish over time, as users are more regularly able to install pre-built extensions rather than needing to build them themselves.

  Some of the solutions for installing scientific software that are not yet available as pre-built wheel files may also help with obtaining other binary extensions without needing to build them locally.

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