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@@ -56,7 +56,7 @@ Steps 1–4 are in one spatial dimension. Steps 5–10 are in two dimensions (2D
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## Dependencies
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To use this lessons, you need Python 3, and the standard stack of scientific Python: NumPy, Matplotlib, SciPy, Sympy. And of course, you need [Jupyter](http://jupyter.org)—an interactive computational environment that runs on a web browser.
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To use these lessons, you need Python 3, and the standard stack of scientific Python: NumPy, Matplotlib, SciPy, Sympy. And of course, you need [Jupyter](http://jupyter.org)—an interactive computational environment that runs on a web browser.
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This mini-course is built as a set of [Jupyter notebooks](https://jupyter-notebook.readthedocs.org/en/latest/notebook.html) containing the written materials and worked-out solutions on Python code. To work with the material, we recommend that you start each lesson with a fresh new notebook, and follow along, typing each line of code (don't copy-and-paste!), and exploring by changing parameters and seeing what happens.
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