Python news 3-25 :Python On Side

Python安装包version 3.1.5

This is Python version 3.1.5 ============================ Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012 Python Software Foundation. All rights reserved. Python 3.x is a new version of the language, which is incompatible with the 2.x line of releases. The language is mostly the same, but many details, especially how built-in objects like dictionaries and strings work, have changed considerably, and a lot of deprecated features have finally been removed. Build Instructions ------------------ On Unix, Linux, BSD, OSX, 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 OSX and Cygwin, the executable is called python.exe; elsewhere it's just python. On Mac OS X, if you have configured Python with --enable-framework, you should use "make frameworkinstall" to do the installation. Note that this installs the Python executable in a place that is not normally on your PATH, you may want to set up a symlink in /usr/local/bin. On Windows, see PCbuild/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 toplevel first.) What's New ---------- We try to have a comprehensive overview of the changes in the "What's New in Python 3.1" document, found at http://docs.python.org/3.1/whatsnew/3.1.html For a more detailed change log, read Misc/NEWS (though this file, too, is incomplete, and also doesn't list anything merged in from the 2.7 release under development). If you want to install multiple versions of Python see the section below entitled "Installing multiple versions". Documentation ------------- Documentation for Python 3.1 is online, updated twice a day: http://docs.python.org/3.1/ All documentation is also available online at the Python web site (http://docs.python.org/, see below). It is available online for occasional reference, or can be downloaded in many formats for faster access. The documentation is downloadable in HTML, PostScript, PDF, LaTeX (through 2.5), and reStructuredText (2.6+) formats; the LaTeX and reStructuredText versions are primarily for documentation authors, translators, and people with special formatting requirements. Converting From Python 2.x to 3.x --------------------------------- Python starting with 2.6 will contain features to help locating code that needs to be changed, such as optional warnings when deprecated features are used, and backported versions of certain key Python 3.x features. A source-to-source translation tool, "2to3", can take care of the mundane task of converting large amounts of source code. It is not a complete solution but is complemented by the deprecation warnings in 2.6. See http://docs.python.org/py3k/library/2to3.html for more information. Testing ------- To test the interpreter, type "make test" in the top-level directory. This runs the test set twice (once with no compiled files, once with the compiled files left by the previous test run). 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. On some Linux systems (those that are not yet using glibc 6), test_strftime fails due to a non-standard implementation of strftime() in the C library. Please ignore this, or upgrade to glibc version 6. By default, tests are prevented from overusing resources like disk space and memory. To enable these tests, run "make testall". IMPORTANT: If the tests fail and you decide to mail a bug report, *don't* include the output of "make test". It is useless. Run the failing test manually, as follows: ./python Lib/test/regrtest.py -v test_whatever (substituting the top of the source tree for '.' if you built in a different directory). This runs the test in verbose mode. 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/pythonX.Y. 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 2.5, 2.6 and 3.0 with 2.6 being the primary version, you would execute "make install" in your 2.6 build directory and "make altinstall" in the others. Issue Tracker and Mailing List ------------------------------ We're soliciting bug reports about all aspects of the language. Fixes are also welcome, preferable in unified diff format. Please use the issue tracker: http://bugs.python.org/ If you're not sure whether you're dealing with a bug or a feature, use the mailing list: python-dev@python.org To subscribe to the list, use the mailman form: http://mail.python.org/mailman/listinfo/python-dev/ Proposals for enhancement ------------------------- If you have a proposal to change Python, you may want to send an email to the comp.lang.python or python-ideas mailing lists for inital feedback. A Python Enhancement Proposal (PEP) may be submitted if your idea gains ground. All current PEPs, as well as guidelines for submitting a new PEP, are listed at http://www.python.org/dev/peps/. Release Schedule ---------------- See PEP 375 for release details: http://www.python.org/dev/peps/pep-0375/ Copyright and License Information --------------------------------- Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008 Python Software Foundation. All rights reserved. Copyright (c) 2000 BeOpen.com. All rights reserved. Copyright (c) 1995-2001 Corporation for National Research Initiatives. All rights reserved. Copyright (c) 1991-1995 Stichting Mathematisch Centrum. All rights reserved. See the file "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.

使用 Python 和 JavaScript 的基于 Web 的 AI 助手应用程序.pdf

使用 Python 和 JavaScript 的基于 Web 的 AI 助手应用程序.pdf

后端开发框架：教程&案例&相关项目.md

markdown文本，最好使用vscode typora等工具打开查看

Google.Hacks.探索和利用全球信息资源的技巧和工具——英文版

最佳的google使用方法，挖掘实用的搜索技巧，展示在进行自动查询时只要知道很少的编程技巧能实现哪些功能

基于MPC+二自由度动力学的车辆轨迹跟踪+横向控制Carsim和Simulink联合仿真（Matlab代码、Simulink仿真实现）

内容概要：本文系统阐述了基于模型预测控制（MPC）与二自由度车辆动力学模型的轨迹跟踪与横向控制方法，通过Carsim与Simulink联合仿真平台实现了Matlab代码与Simulink模型的协同验证。该方法结合MPC算法的滚动时域优化特性与车辆二自由度动力学模型的运动学精度，构建了高精度的路径跟踪控制系统，能够有效提升自动驾驶车辆在复杂工况下的行驶稳定性与轨迹跟随精度。文中详细介绍了控制策略设计、车辆动力学建模、仿真参数配置、联合仿真接口搭建及结果分析全过程，涵盖了状态预测、代价函数构建、约束处理与优化求解等核心环节，适用于智能驾驶中路径规划与跟踪控制系统的研发与验证。; 适合人群：具备车辆动力学、现代控制理论（如最优控制、预测控制）基础知识，熟练掌握Matlab/Simulink与Carsim仿真工具，从事自动驾驶、智能车辆控制算法开发的研究生、科研人员及工程技术人员。; 使用场景及目标：①用于智能网联汽车与无人驾驶系统中横向控制算法的设计与性能验证；②作为MPC在车辆运动控制中应用的教学案例，辅助高校课程实践与科研训练；③支撑高水平学术论文复现、课题申报与工程原型开发。; 阅读建议：建议读者在Carsim与Simulink联合仿真环境下动手复现，重点掌握MPC控制器中预测模型的建立、权重系数调节、约束设定及实时性优化等关键技术，并尝试在不同道路曲率、车速及路面附着条件下进行鲁棒性测试，进一步拓展至非线性MPC或自适应MPC等先进控制策略的研究。