12/28/2021

Python 3.8 Download Mac

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Python 3.8 Download Mac
  1. Python 3.8 Download Mac Os
  2. Download Python 3.8 2 For Mac

ANSI escape character sequences have long been used to produce colored terminal text and cursor positioning on Unix and Macs. Colorama makes this work on Windows, too, by wrapping stdout, stripping ANSI sequences it finds (which would appear as gobbledygook in the output), and converting them into the appropriate win32 calls to modify the state of the terminal. V1.4.5 (2019-11-05) - Corrected errors on Python 3.8 Corrected errors about using in operator for enums on Python 3.8 on macOS. V1.4.4 (2019-09-24) - Actually corrected keyboard listener on macOS. Mac OS X has installed python by default, but the version is 2.7.10. It is a little older, so I upgrade python to a newer version ( python 3.7 or python 3.9 ). But after installing the new version, when I open a terminal and run python command, it still uses Python 2.7. This article will tell you how to fix it. Release Date: Oct. This is the stable release of Python 3.8.0. Note: The release you're looking at is Python 3.8.0, an outdated release. Python 3.9 is now the latest feature release series of Python 3. Get the latest release of 3.9.x here. Major new features of the 3.8 series, compared to 3.7. PEP 572, Assignment expressions.

Release Date: July 20, 2020

This is the fifth maintenance release of Python 3.8

Note: The release you're looking at is Python 3.8.5, a bugfix release for the legacy 3.8 series. Python 3.9 is now the latest feature release series of Python 3. Get the latest release of 3.9.x here.

3.8.5 has been released out of schedule due to important security content. For details please consult the change log. Please upgrade at your earliest convenience.

Major new features of the 3.8 series, compared to 3.7

Python 3.8 Download Mac
  • 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

  • PEP 569, 3.8 Release Schedule
  • Report bugs at https://bugs.python.org.
  • Help fund Python and its community.

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

  • For Python 3.8, we provide one installer: 64-bit-only that works on macOS 10.9 (Mavericks) and later systems.
  • 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

Our universe itself keeps on expanding and expanding,
In all of the directions it can whiz;
As fast as it can go, at the speed of light, you know,
Twelve million miles a minute and that's the fastest speed there is.
So remember, when you're feeling very small and insecure,
How amazingly unlikely is your birth;
And pray that there's intelligent life somewhere out in space,
'Cause there's bugger all down here on Earth!

Python
VersionOperating SystemDescriptionMD5 SumFile SizeGPG
Gzipped source tarballSource releasee2f52bcf531c8cc94732c0b6ff933ff024149103SIG
XZ compressed source tarballSource release35b5a3d0254c1c59be9736373d429db718019640SIG
macOS 64-bit installermacOSfor OS X 10.9 and later2f8a736eeb307a27f1998cfd07f2244030238024SIG
Windows help fileWindows3079d9cf19ac09d7b3e5eb3fb05581c48528031SIG
Windows x86-64 embeddable zip fileWindowsfor AMD64/EM64T/x6473bd7aab047b81f83e473efb5d5652a08168581SIG
Windows x86-64 executable installerWindowsfor AMD64/EM64T/x640ba2e9ca29b719da6e0b81f7f33f08f627864320SIG
Windows x86-64 web-based installerWindowsfor AMD64/EM64T/x64eeab52a08398a009c90189248ff43dac1364128SIG
Windows x86 embeddable zip fileWindowsbc354669bffd81a4ca14f06817222e507305731SIG
Windows x86 executable installerWindows959873b37b74c1508428596b7f9df15126777232SIG
Windows x86 web-based installerWindowsc813e6671f334a269e669d913b1f9b0d1328184SIG
The agenda has been announced! Save a spot at the Women in ML Symposium on October 19

Install TensorFlow 2

TensorFlow is tested and supported on the following 64-bit systems:

  • Python 3.6–3.9
  • Ubuntu 16.04 or later
  • Windows 7 or later (with C++ redistributable)
  • macOS 10.12.6 (Sierra) or later (no GPU support)

Google Colab: An easy way to learn and use TensorFlow

No install necessary—run the TensorFlow tutorials directly in the browser with Colaboratory, a Google research project created to help disseminate machine learning education and research. It's a Jupyter notebook environment that requires no setup to use and runs entirely in the cloud. Read the blog post.

Web developers

TensorFlow.js is a WebGL accelerated, JavaScript library to train and deploy ML models in the browser, Node.js, mobile, and more.

Python 3.8 Download Mac Os

Mobile developers

Download Python 3.8 2 For Mac

TensorFlow Lite is a lightweight solution for mobile and embedded devices.
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