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content/_index.md

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Learn recommended tools and approaches for developing Scientific Python libraries.
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'''
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[[item]]
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type = 'card'
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title = 'Lectures Notes'
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link = 'https://lectures.scientific-python.org'
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body = '''
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Numerical computing lectures that teach key packages in the scientific Python ecosystem, such as NumPy, SciPy, Matplotlib, scikit-learn, and scikit-image.
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'''
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{{< /grid >}}
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<!--

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