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MAINT: Update graphviz requirement as removed from build environment (#163)
* MAINT: Update graphviz requirement as removed from build environment * Add warning to graphviz --------- Co-authored-by: HengCheng <[email protected]>
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lectures/eigen_II.md

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:depth: 2
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```
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In addition to what's in Anaconda, this lecture will need the following libraries:
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```{code-cell} ipython
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---
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tags: [hide-output]
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---
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!pip install graphviz
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```
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```{admonition} graphviz
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:class: warning
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If you are running this lecture locally it requires [graphviz](https://www.graphviz.org)
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to be installed on your computer. Installation instructions for graphviz can be found
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[here](https://www.graphviz.org/download/)
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```
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In this lecture we will begin with the basic properties of nonnegative matrices.
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Then we will explore the Perron-Frobenius Theorem and the Neumann Series Lemma, and connect them to applications in Markov chains and networks.

lectures/lake_model.md

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# A Lake Model of Employment
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\
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In addition to what's in Anaconda, this lecture will need the following libraries:
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```{code-cell} ipython
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---
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tags: [hide-output]
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---
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!pip install graphviz
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```
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```{admonition} graphviz
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:class: warning
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If you are running this lecture locally it requires [graphviz](https://www.graphviz.org)
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to be installed on your computer. Installation instructions for graphviz can be found
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[here](https://www.graphviz.org/download/)
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```
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This lecture studies a model of employment and unemployment flows in a large
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population.
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lectures/markov_chains_I.md

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!pip install graphviz
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```
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```{admonition} graphviz
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:class: warning
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If you are running this lecture locally it requires [graphviz](https://www.graphviz.org)
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to be installed on your computer. Installation instructions for graphviz can be found
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[here](https://www.graphviz.org/download/)
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```
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+++ {"user_expressions": []}
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## Overview

lectures/markov_chains_II.md

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!pip install graphviz
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```
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```{admonition} graphviz
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:class: warning
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If you are running this lecture locally it requires [graphviz](https://www.graphviz.org)
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to be installed on your computer. Installation instructions for graphviz can be found
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[here](https://www.graphviz.org/download/)
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```
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+++ {"user_expressions": []}
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## Overview

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