Python 解释器 PyPy

     <img alt="Python 解释器 PyPy" src="https://simg.open-open.com/show/dda0e724c7e022d544573e054449dee8.png" width="318" height="110" />    <p><strong>PyPy</strong> 是用Python实现的Python解释器。</p>    <p>PyPy是，Python开发者为了更好的Hack Python创建的项目。此外，PyPy比CPython是更加灵活，易于使用和试验，以制定具体的功能在不同情况的实现方法，可以很容易实施。 该项目的目标是，让PyPy比C实现的Python更为容易的适应各个项目和方便裁剪。</p>    <ul class="simple">     <li><strong>Speed:</strong> thanks to its Just-in-Time compiler, Python programs often run <a class="reference external" href="/misc/goto?guid=4958343447497771297">faster</a> on PyPy. <a class="reference external" href="/misc/goto?guid=4958343448301650328">(What is a JIT compiler?)</a></li>     <li><strong>Memory usage:</strong> large, memory-hungry Python programs might end up taking <a class="reference external" href="/misc/goto?guid=4958343449095149805">less space</a> than they do in CPython.</li>     <li><strong>Compatibility:</strong> PyPy is <a class="reference external" href="/misc/goto?guid=4959500363492162065">highly compatible</a> with existing python code. It supports <a class="reference external" href="/misc/goto?guid=4959500363615866776">ctypes</a> and can run popular python libraries like <a class="reference external" href="/misc/goto?guid=4958343451473269233">twisted</a> and <a class="reference external" href="/misc/goto?guid=4958343452270639650">django</a>.</li>     <li><strong>Sandboxing:</strong> PyPy provides the ability to <a class="reference external" href="/misc/goto?guid=4959500363793830135">run untrusted code</a> in a fully secure way.</li>     <li><strong>Stackless:</strong> PyPy can be configured to run in <a class="reference external" href="/misc/goto?guid=4958342995280467736">stackless</a> mode, providing micro-threads for massive concurrency.</li>    </ul>    <p><strong>项目主页：</strong><a href="http://www.open-open.com/lib/view/home/1325857868250" target="_blank">http://www.open-open.com/lib/view/home/1325857868250</a></p>