cpython
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The Python programming language
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This is Python version 3.14.0 alpha 0
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Copyright © 2001-2024 Python Software Foundation. All rights reserved.
See the end of this file for further copyright and license information.
.. contents::
General Information
- Website: https://www.python.org
- Source code: https://github.com/python/cpython
- Issue tracker: https://github.com/python/cpython/issues
- Documentation: https://docs.python.org
- Developer's Guide: https://devguide.python.org/
Contributing to CPython
For more complete instructions on contributing to CPython development,
see the
_.
.. _Developer Guide: https://devguide.python.org/
Using Python
Installable Python kits, and information about using Python, are available at
_.
.. _python.org: https://www.python.org/
Build Instructions
On Unix, Linux, BSD, macOS, and Cygwin::
./configure
make
make test
sudo make install
This will install Python as
.
You can pass many options to the configure script; run
to find out more. On macOS case-insensitive file systems and on Cygwin,
the executable is called
; elsewhere it's just
.
Building a complete Python installation requires the use of various
additional third-party libraries, depending on your build platform and
configure options. Not all standard library modules are buildable or
useable on all platforms. Refer to the
_
section of the
_ for current detailed information on
dependencies for various Linux distributions and macOS.
On macOS, there are additional configure and build options related
to macOS framework and universal builds. Refer to
_.
On Windows, see
_.
To build Windows installer, see
_.
If you wish, you can create a subdirectory and invoke configure from there. For example::
mkdir debug
cd debug
../configure --with-pydebug
make
make test
(This will fail if you also built at the top-level directory. You should do
a
at the top-level first.)
To get an optimized build of Python,
before you run
. This sets the default make targets up to enable
Profile Guided Optimization (PGO) and may be used to auto-enable Link Time
Optimization (LTO) on some platforms. For more details, see the sections
below.
Profile Guided Optimization ^^^^^^^^^^^^^^^^^^^^^^^^^^^
PGO takes advantage of recent versions of the GCC or Clang compilers. If used,
either via
or by manually running
regardless of configure flags, the optimized build
process will perform the following steps:
The entire Python directory is cleaned of temporary files that may have resulted from a previous compilation.
An instrumented version of the interpreter is built, using suitable compiler flags for each flavor. Note that this is just an intermediary step. The binary resulting from this step is not good for real-life workloads as it has profiling instructions embedded inside.
After the instrumented interpreter is built, the Makefile will run a training workload. This is necessary in order to profile the interpreter's execution. Note also that any output, both stdout and stderr, that may appear at this step is suppressed.
The final step is to build the actual interpreter, using the information collected from the instrumented one. The end result will be a Python binary that is optimized; suitable for distribution or production installation.
Link Time Optimization ^^^^^^^^^^^^^^^^^^^^^^
Enabled via configure's
flag. LTO takes advantage of the
ability of recent compiler toolchains to optimize across the otherwise
arbitrary
file boundary when building final executables or shared
libraries for additional performance gains.
What's New
We have a comprehensive overview of the changes in the
_ document. For a more
detailed change log, read
, but a full
accounting of changes can only be gleaned from the
.
If you want to install multiple versions of Python, see the section below entitled "Installing multiple versions".
Documentation
_ is online,
updated daily.
It can also be downloaded in many formats for faster access. The documentation is downloadable in HTML, PDF, and reStructuredText formats; the latter version is primarily for documentation authors, translators, and people with special formatting requirements.
For information about building Python's documentation, refer to
_.
Testing
To test the interpreter, type
in the top-level directory. The
test set produces some output. You can generally ignore the messages about
skipped tests due to optional features which can't be imported. If a message
is printed about a failed test or a traceback or core dump is produced,
something is wrong.
By default, tests are prevented from overusing resources like disk space and
memory. To enable these tests, run
.
If any tests fail, you can re-run the failing test(s) in verbose mode. For
example, if
and
failed, you can run::
make test TESTOPTS="-v test_os test_gdb"
If the failure persists and appears to be a problem with Python rather than
your environment, you can
_ and include relevant output from
that command to show the issue.
See
_
for more on running tests.
Installing multiple versions
On Unix and Mac systems if you intend to install multiple versions of Python
using the same installation prefix (
argument to the configure
script) you must take care that your primary python executable is not
overwritten by the installation of a different version. All files and
directories installed using
contain the major and minor
version and can thus live side-by-side.
also creates
which refers to
. If you
intend to install multiple versions using the same prefix you must decide which
version (if any) is your "primary" version. Install that version using
. Install all other versions using
.
For example, if you want to install Python 2.7, 3.6, and 3.14 with 3.14 being the
primary version, you would execute
in your 3.14 build directory
and
in the others.
Release Schedule
See
__ for Python 3.14 release details.
Copyright and License Information
Copyright © 2001-2024 Python Software Foundation. All rights reserved.
Copyright © 2000 BeOpen.com. All rights reserved.
Copyright © 1995-2001 Corporation for National Research Initiatives. All rights reserved.
Copyright © 1991-1995 Stichting Mathematisch Centrum. All rights reserved.
See the
_ for
information on the history of this software, terms & conditions for usage, and a
DISCLAIMER OF ALL WARRANTIES.
This Python distribution contains no GNU General Public License (GPL) code, so it may be used in proprietary projects. There are interfaces to some GNU code but these are entirely optional.
All trademarks referenced herein are property of their respective holders.