This is great news for Julia!<p>As a long time Python user, I disagree with the insinuation of competition between the two communities. In fact, I&#x27;ve met all of the core developers of Julia and of the major Python data science projects, and they see each other as fellows and colleagues!<p>For example, last year at PyData NYC, Stefan Karpinski gave the following talk, titled &#x27;Julia + Python = \N{heavy black heart}&#x27;<p><a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=PsjANO10KgM" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=PsjANO10KgM</a><p>This past week, at PyData NYC, Stefan Karpinksi also shared the stage with Andy Müller (scikit-learn) and Jared Lander (author of R for everyone) to discuss the future of machine learning with the audience and addressed how the various tools, languages and communities fit together.<p>In fact, most people may not realise, but Julia, Jupyter, IPython, numpy, pandas, matplotlib, &amp;c. are all fiscally sponsored projects of the same 501(c)3 non-profit, NumFOCUS (which is the organisation that also runs the PyData conference series)!<p><a href="http:&#x2F;&#x2F;numfocus.org&#x2F;projects&#x2F;index.html" rel="nofollow">http:&#x2F;&#x2F;numfocus.org&#x2F;projects&#x2F;index.html</a>