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The Python programming language
https://www.python.org
* Add profiling module documentation structure PEP 799 introduces a new `profiling` package that reorganizes Python's profiling tools under a unified namespace. This commit adds the documentation structure to match: a main entry point (profiling.rst) that helps users choose between profilers, detailed docs for the tracing profiler (profiling-tracing.rst), and separated pstats documentation. The tracing profiler docs note that cProfile remains as a backward-compatible alias, so existing code continues to work. The pstats module gets its own page since it's used by both profiler types and deserves focused documentation. * Add profiling.sampling documentation The sampling profiler is new in Python 3.15 and works fundamentally differently from the tracing profiler. It observes programs from outside by periodically capturing stack snapshots, which means zero overhead on the profiled code. This makes it practical for production use where you can attach to live servers. The docs explain the key concepts (statistical vs deterministic profiling), provide quick examples upfront, document all output formats (pstats, flamegraph, gecko, heatmap), and cover the live TUI mode. The defaults table helps users understand what happens without any flags. * Wire profiling docs into the documentation tree Add the new profiling module pages to the Debugging and Profiling toctree. The order places the main profiling.rst entry point first, followed by the two profiler implementations, then pstats, and finally the deprecated profile module last. * Convert profile.rst to deprecation stub The pure Python profile module is deprecated in 3.15 and scheduled for removal in 3.17. Users should migrate to profiling.tracing (or use the cProfile alias which continues to work). The page now focuses on helping existing users migrate: it shows the old vs new import style, keeps the shared API reference since both modules have the same interface, and preserves the calibration docs for anyone still using the pure Python implementation during the transition period. * Update CLI module references for profiling restructure Point cProfile to profiling.tracing docs and add profiling.sampling to the list of modules with CLI interfaces. The old profile-cli label no longer exists after the documentation restructure. * Update whatsnew to link to profiling module docs Enable cross-references to the new profiling module documentation and update the CLI examples to use the current syntax with the attach subcommand. Also reference profiling.tracing instead of cProfile since that's the new canonical name. |
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This is Python version 3.15.0 alpha 2
=====================================
.. image:: https://github.com/python/cpython/actions/workflows/build.yml/badge.svg?branch=main&event=push
:alt: CPython build status on GitHub Actions
:target: https://github.com/python/cpython/actions
.. image:: https://dev.azure.com/python/cpython/_apis/build/status/Azure%20Pipelines%20CI?branchName=main
:alt: CPython build status on Azure DevOps
:target: https://dev.azure.com/python/cpython/_build/latest?definitionId=4&branchName=main
.. image:: https://img.shields.io/badge/discourse-join_chat-brightgreen.svg
:alt: Python Discourse chat
:target: https://discuss.python.org/
Copyright © 2001 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`_.
.. _Developer Guide: https://devguide.python.org/
Using Python
------------
Installable Python kits, and information about using Python, are available at
`python.org`_.
.. _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 ``python3``.
You can pass many options to the configure script; run ``./configure --help``
to find out more. On macOS case-insensitive file systems and on Cygwin,
the executable is called ``python.exe``; elsewhere it's just ``python``.
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
usable on all platforms. Refer to the
`Install dependencies <https://devguide.python.org/getting-started/setup-building.html#build-dependencies>`_
section of the `Developer Guide`_ 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 `Mac/README.rst
<https://github.com/python/cpython/blob/main/Mac/README.rst>`_.
On Windows, see `PCbuild/readme.txt
<https://github.com/python/cpython/blob/main/PCbuild/readme.txt>`_.
To build Windows installer, see `Tools/msi/README.txt
<https://github.com/python/cpython/blob/main/Tools/msi/README.txt>`_.
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 ``make clean`` at the top-level first.)
To get an optimized build of Python, ``configure --enable-optimizations``
before you run ``make``. 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 ``configure --enable-optimizations`` or by manually running
``make profile-opt`` 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 ``--with-lto`` flag. LTO takes advantage of the
ability of recent compiler toolchains to optimize across the otherwise
arbitrary ``.o`` 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 `What's new in Python
3.15 <https://docs.python.org/3.15/whatsnew/3.15.html>`_ document. For a more
detailed change log, read `Misc/NEWS
<https://github.com/python/cpython/tree/main/Misc/NEWS.d>`_, but a full
accounting of changes can only be gleaned from the `commit history
<https://github.com/python/cpython/commits/main>`_.
If you want to install multiple versions of Python, see the section below
entitled "Installing multiple versions".
Documentation
-------------
`Documentation for Python 3.15 <https://docs.python.org/3.15/>`_ is online,
updated daily.
It can also be downloaded in many formats for faster access. The documentation
is downloadable in HTML, EPUB, 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 `Doc/README.rst
<https://github.com/python/cpython/blob/main/Doc/README.rst>`_.
Testing
-------
To test the interpreter, type ``make test`` 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 ``make buildbottest``.
If any tests fail, you can re-run the failing test(s) in verbose mode. For
example, if ``test_os`` and ``test_gdb`` 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 `file a bug report
<https://github.com/python/cpython/issues>`_ and include relevant output from
that command to show the issue.
See `Running & Writing Tests <https://devguide.python.org/testing/run-write-tests.html>`_
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 (``--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 ``make altinstall`` contain the major and minor
version and can thus live side-by-side. ``make install`` also creates
``${prefix}/bin/python3`` which refers to ``${prefix}/bin/python3.X``. 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
``make install``. Install all other versions using ``make altinstall``.
For example, if you want to install Python 2.7, 3.6, and 3.15 with 3.15 being the
primary version, you would execute ``make install`` in your 3.15 build directory
and ``make altinstall`` in the others.
Release Schedule
----------------
See `PEP 790 <https://peps.python.org/pep-0790/>`__ for Python 3.15 release details.
Copyright and License Information
---------------------------------
Copyright © 2001 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 `LICENSE <https://github.com/python/cpython/blob/main/LICENSE>`_ 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.