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#joblib

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Alexandre B A Villares 🐍<p>«<a href="https://ciberlandia.pt/tags/Joblib" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Joblib</span></a> is a set of tools to provide lightweight pipelining in <a href="https://ciberlandia.pt/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> In particular:</p><ul><li>transparent disk-<a href="https://ciberlandia.pt/tags/caching" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>caching</span></a> of functions and lazy re-evaluation (<a href="https://ciberlandia.pt/tags/memoize" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>memoize</span></a> pattern)</li><li>easy simple <a href="https://ciberlandia.pt/tags/ParallelComputing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ParallelComputing</span></a></li></ul><p>Joblib is optimized to be fast and robust on large data in particular and has specific optimizations for <a href="https://ciberlandia.pt/tags/numpy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>numpy</span></a> arrays. It is BSD-licensed.»</p><p><a href="https://joblib.readthedocs.io/en/stable/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">joblib.readthedocs.io/en/stabl</span><span class="invisible">e/</span></a></p>
Habr<p>Joblib: максимум из параллельных вычислений в Python</p><p>Привет, Хабр! Сегодня разберемся с одной важной темой, которая может серьезно улучшить производительность Python-кода — параллельные вычисления с помощью Joblib . Joblib — это Python-библиотека, которая предоставляет инструменты для параллельных вычислений, кэширования и эффективной обработки данных. Она используется для ускорения выполнения операций, таких как многократные вычисления, обработка больших массивов данных и параллельная обработка однотипных задач.</p><p><a href="https://habr.com/ru/companies/otus/articles/874810/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">habr.com/ru/companies/otus/art</span><span class="invisible">icles/874810/</span></a></p><p><a href="https://zhub.link/tags/joblib" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>joblib</span></a> <a href="https://zhub.link/tags/python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>python</span></a> <a href="https://zhub.link/tags/%D0%BF%D0%B0%D1%80%D0%B0%D0%BB%D0%BB%D0%B5%D0%BB%D1%8C%D0%BD%D1%8B%D0%B5_%D0%B2%D1%8B%D1%87%D0%B8%D1%81%D0%BB%D0%B5%D0%BD%D0%B8%D1%8F" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>параллельные_вычисления</span></a> <a href="https://zhub.link/tags/%D0%BE%D0%B1%D1%80%D0%B0%D0%B1%D0%BE%D1%82%D0%BA%D0%B0_%D0%B4%D0%B0%D0%BD%D0%BD%D1%8B%D1%85" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>обработка_данных</span></a></p>
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