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MAINT: remove content blocks for consistency #339

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Jan 29, 2024
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MAINT: remove content blocks for consistency #339

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MAINT: remove content blocks for consistency
mmcky Jan 29, 2024
73b30ec
remove duplicate target
mmcky Jan 29, 2024
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5 changes: 1 addition & 4 deletions lectures/ar1_processes.md
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Expand Up @@ -18,6 +18,7 @@ kernelspec:
</div>
```

(ar1_processes)=
# AR1 Processes

```{admonition} Migrated lecture
Expand All @@ -29,10 +30,6 @@ This lecture has moved from our [Intermediate Quantitative Economics with Python
```{index} single: Autoregressive processes
```

```{contents} Contents
:depth: 2
```

## Overview

In this lecture we are going to study a very simple class of stochastic
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4 changes: 0 additions & 4 deletions lectures/eigen_II.md
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```{index} single: The Perron-Frobenius Theorem
```

```{contents} Contents
:depth: 2
```

In addition to what's in Anaconda, this lecture will need the following libraries:

```{code-cell} ipython3
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4 changes: 0 additions & 4 deletions lectures/heavy_tails.md
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(heavy_tail)=
# Heavy-Tailed Distributions

```{contents} Contents
:depth: 2
```

In addition to what's in Anaconda, this lecture will need the following libraries:

```{code-cell} ipython3
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4 changes: 0 additions & 4 deletions lectures/markov_chains_I.md
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```{index} single: Markov Chains: Basic Concepts and Stationarity
```

```{contents} Contents
:depth: 2
```

In addition to what's in Anaconda, this lecture will need the following libraries:

```{code-cell} ipython3
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5 changes: 0 additions & 5 deletions lectures/markov_chains_II.md
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```{index} single: Markov Chains: Irreducibility and Ergodicity
```

```{contents} Contents
:depth: 2
```


In addition to what's in Anaconda, this lecture will need the following libraries:

```{code-cell} ipython3
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4 changes: 0 additions & 4 deletions lectures/prob_dist.md
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```{index} single: Distributions and Probabilities
```

```{contents} Contents
:depth: 2
```

## Outline

In this lecture we give a quick introduction to data and probability distributions using Python.
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7 changes: 2 additions & 5 deletions lectures/scalar_dynam.md
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</div>
```

# {index}`Dynamics in One Dimension <single: Dynamics in One Dimension>`

```{contents} Contents
:depth: 2
```
(scalar_dynam)=
# Dynamics in One Dimension

## Overview

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4 changes: 0 additions & 4 deletions lectures/schelling.md
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```{index} single: Models; Schelling's Segregation Model
```

```{contents} Contents
:depth: 2
```

## Outline

In 1969, Thomas C. Schelling developed a simple but striking model of racial
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4 changes: 0 additions & 4 deletions lectures/short_path.md
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```{index} single: Dynamic Programming; Shortest Paths
```

```{contents} Contents
:depth: 2
```

## Overview

The shortest path problem is a [classic problem](https://en.wikipedia.org/wiki/Shortest_path) in mathematics and computer science with applications in
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4 changes: 0 additions & 4 deletions lectures/supply_demand_heterogeneity.md
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(supply_demand_heterogeneity)=
# Market Equilibrium with Heterogeneity

```{contents} Contents
:depth: 2
```

## Overview

In the {doc}`previous lecture
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4 changes: 0 additions & 4 deletions lectures/time_series_with_matrices.md
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# Univariate Time Series with Matrix Algebra

```{contents} Contents
:depth: 2
```

## Overview

This lecture uses matrices to solve some linear difference equations.
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4 changes: 0 additions & 4 deletions lectures/troubleshooting.md
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# Troubleshooting

```{contents} Contents
:depth: 2
```

This page is for readers experiencing errors when running the code from the lectures.

## Fixing your local environment
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