The debate about whether Python is fast or slow is never-ending. It depends on what you're optimizing for: Server CPU consumption? Developer time? Maintainability? There are many factors. But if we keep our eye on pure computational speed in the Python layer, then yes, Python is slow. <br/> <br/> In this episode, we invite Anthony Shaw back on the show. He's here to dig into the reasons Python is computationally slower than many of its peer languages and technologies such as C++ and JavaScript.<br/> <br/> <strong>Links from the show</strong><br/> <br/> <div><b>Anthony's PyCon Talk</b>: <a href="https://www.youtube.com/watch?v=I4nkgJdVZFA" target="_blank" rel="noopener">youtube.com</a><br/> <b>N-body problem example</b>: <a href="https://ift.tt/2TmkWUk" target="_blank" rel="noopener">github.com</a><br/> <b>HPy project</b>: <a href="https://ift.tt/2tUKpKO" target="_blank" rel="noopener">github.com</a><br/> <b>Austin profiler</b>: <a href="https://ift.tt/2LSf1V4" target="_blank" rel="noopener">github.com</a><br/> <br/> <b>Prior episodes:</b><br/> <b>#240: A guided tour of the CPython source</b>: <a href="https://ift.tt/2shjmbF" target="_blank" rel="noopener">talkpython.fm</a><br/> <b>#214: Dive into CPython 3.8</b>: <a href="https://ift.tt/3cHJkrc" target="_blank" rel="noopener">talkpython.fm</a><br/> <b>#168: 10 Python security holes</b>: <a href="https://ift.tt/2KSUuvf" target="_blank" rel="noopener">talkpython.fm</a><br/></div><br/> <strong>Sponsors</strong><br/> <br/> <a href='https://ift.tt/2PTb42Q> <a href='https://ift.tt/2AndcLj Error Monitoring</a><br> <a href='https://ift.tt/2PVc9qH Python Training</a>
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