... | ... | @@ -39,7 +39,7 @@ I may reference materials (e.g., lecture notes) and topics from various courses, |
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- **CS 417 - Computational Methods & Software**
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- [Python non-linear solver discussion](https://www.cs.odu.edu/~tkennedy/cs417/f20/Public/solverDiscussion/)
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I will also reference a couple examples from the previous:
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I may also reference a couple examples from the previous:
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- [Git workshop](https://www.cs.odu.edu/~tkennedy/git-workshop)
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- [Python workshop](https://git-community.cs.odu.edu/tkennedy/python-workshop/-/wikis/Python-Workshop)
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- [Rust workshop](https://www.cs.odu.edu/~tkennedy/rust-workshop)
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## The Broad Strokes
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I will focus on:
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# Overview
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*What is [NumPy](https://numpy.org/)?*
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>
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> Retrieved from <https://numpy.org/doc/stable/user/whatisnumpy.html>
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We can only scratch the surface during a one (1) hour workshop.
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# Examples
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The first few examples will be short and focus on arrays and statistics. These
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examples are inspired by [*Coffee Break NumPy* by Christian
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Mayer](https://www.amazon.com/Coffee-Break-NumPy-Science-Mastery/dp/1076932614)
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**Creating Arrays**
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**I/O**
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**Indexing**
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**Index Arrays**
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**Boolean (Mask) Index Arrays**
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**Broadcasting**
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**Linear Algebra**
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**Statistics**
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