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Commiteb682a2

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Deploying to main from @numpy/numpy.org@26a6236 🚀
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‎case-studies/blackhole-image/index.html

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NumPy is at the core of array data processing used
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in this package, as illustrated by the partial software
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dependency chart below.</p><figureclass=align-defaultid=id004><imgsrc=/images/content_images/cs/ehtim_numpy.pngalt="ehtim dependency map highlighting numpy"class=align-center><figcaption><strongclass=caption-title>Software dependency chart of ehtim package highlighting NumPy</strong><aclass=headerlinkhref=#id004title="Link to this image">#</a><br><p><spanclass=caption-text></span></figcaption></figure><p>Besides NumPy, many other packages, such as
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<ahref=https://www.scipy.org>SciPy</a> and<ahref=https://pandas.io>Pandas</a>, are part of the
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<ahref=https://scipy.org>SciPy</a> and<ahref=https://pandas.pydata.org>Pandas</a>, are part of the
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data processing pipeline for imaging the black hole.
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The standard astronomical file formats and time/coordinate transformations
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were handled by<ahref=https://www.astropy.org/>Astropy</a>, while<ahref=https://matplotlib.org/>Matplotlib</a> was used

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