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Merge pull request #374 from datacarpentry/km/numpy-preqs
Add NumPy arrays to top level prerequisites
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‎index.md‎

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@@ -10,9 +10,13 @@ This lesson shows how to use Python and scikit-image to do basic image processin
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This lesson assumes you have a working knowledge of Python and some previous exposure to the Bash shell.
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These requirements can be fulfilled by:
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a) completing a Software Carpentry Python workshop **or**
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b) completing a Data Carpentry Ecology workshop (with Python) **and** a Data Carpentry Genomics workshop **or**
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c) independent exposure to both Python and the Bash shell.
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- a) completing a Software Carpentry Python workshop
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- b) completing a Data Carpentry Ecology workshop (with Python) **and** a Data Carpentry Genomics workshop
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- c) independent exposure to both Python and the Bash shell.
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Note: this lesson also requires some basic familiarity with [NumPy](https://numpy.org/doc/stable/index.html) arrays.
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For example, as covered in the Software Carpentry [Programming with Python lesson](https://swcarpentry.github.io/python-novice-inflammation/02-numpy.html).
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If you're unsure whether you have enough experience to participate in this workshop, please read over
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[this detailed list](learners/prereqs.md), which gives all of the functions, operators, and other concepts you will need

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