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@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 3bb6aef6b2eeef875723941ee10b071e
+config: 5a2ede0e61f74be3e45663111ee811c3
 tags: 645f666f9bcd5a90fca523b33c5a78b7
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diff --git a/_panels_static/panels-main.c949a650a448cc0ae9fd3441c0e17fb0.css b/_panels_static/panels-main.c949a650a448cc0ae9fd3441c0e17fb0.css
diff --git a/_panels_static/panels-variables.06eb56fa6e07937060861dad626602ad.css b/_panels_static/panels-variables.06eb56fa6e07937060861dad626602ad.css
diff --git a/_sources/ch_fpms.md b/_sources/ch_fpms.md
@@ -5,8 +5,6 @@ jupytext:
   text_representation:
     extension: .md
     format_name: myst
-    format_version: 0.13
-    jupytext_version: 1.10.3
 kernelspec:
   display_name: Python 3
   language: python
@@ -16,9 +14,8 @@ kernelspec:
 # Chapter 5 - Nonlinear Interactions (Python Code)
 
 ```{code-cell}
----
-tags: [hide-output]
----
+:tags: [hide-output]
+
 ! pip install --upgrade quantecon_book_networks
 ```
 
@@ -160,7 +157,7 @@ def plot_fin_graph(G, ax, node_color_list):
 Now we will iterate by applying the operator $T$ to the vector of firm values $v$ and produce the plots.
 
 ```{code-cell}
-G = nx.from_numpy_matrix(np.matrix(fn.C), create_using=nx.DiGraph)
+G = nx.from_numpy_array(np.array(fn.C), create_using=nx.DiGraph)
 v = fn.v_bar
 
 k = 15
@@ -177,5 +174,5 @@ for i in range(k):
 if export_figures:
     plt.savefig("figures/fin_network_sims_1.pdf")
 plt.show()
-
 ```
+
diff --git a/_sources/ch_intro.md b/_sources/ch_intro.md
@@ -6,19 +6,17 @@ jupytext:
     extension: .md
     format_name: myst
     format_version: 0.13
-    jupytext_version: 1.11.5
+    jupytext_version: 1.15.1
 kernelspec:
-  display_name: Python 3
+  display_name: Python 3 (ipykernel)
   language: python
   name: python3
 ---
 
 # Chapter 1 - Introduction (Python Code)
 
 ```{code-cell} ipython3
----
-tags: [hide-output]
----
+:tags: [hide-output]
 ! pip install --upgrade quantecon_book_networks kaleido
 ```
 
@@ -31,8 +29,8 @@ import quantecon_book_networks.input_output as qbn_io
 import quantecon_book_networks.data as qbn_data
 import quantecon_book_networks.plotting as qbn_plot
 ch1_data = qbn_data.introduction()
-default_figsize = [6, 4]
-export_figures = True
+default_figsize = (6, 4)
+export_figures = False
 ```
 
 Next we import some common python libraries.
@@ -44,6 +42,7 @@ import networkx as nx
 import statsmodels.api as sm
 import matplotlib.pyplot as plt
 import matplotlib.cm as cm
+import matplotlib.ticker as ticker
 from mpl_toolkits.mplot3d.art3d import Poly3DCollection
 import matplotlib.patches as mpatches
 import plotly.graph_objects as go
@@ -277,11 +276,15 @@ for ax in axes:
 ax = axes[0]
 ax.plot(list(range(n)), t_data, linestyle='', marker='o', alpha=0.5, ms=4)
 ax.vlines(list(range(n)), 0, t_data, 'k', lw=0.2)
+ax.get_xaxis().set_major_formatter(
+    ticker.FuncFormatter(lambda x, p: format(int(x), ',')))
 ax.set_title(f"Student t draws", fontsize=11)
 
 ax = axes[1]
 ax.plot(list(range(n)), n_data, linestyle='', marker='o', alpha=0.5, ms=4)
 ax.vlines(list(range(n)), 0, n_data, lw=0.2)
+ax.get_xaxis().set_major_formatter(
+    ticker.FuncFormatter(lambda x, p: format(int(x), ',')))
 ax.set_title(f"$N(0, \sigma^2)$ with $\sigma = {s}$", fontsize=11)
 
 plt.tight_layout()
@@ -361,7 +364,7 @@ b, a = results.params
 Finally we produce our plot.
 
 ```{code-cell} ipython3
-fig, ax = plt.subplots(figsize=[7.3,4])
+fig, ax = plt.subplots(figsize=(7.3, 4))
 
 ax.scatter(x, y, alpha=0.3, label="firm size (market value)")
 ax.plot(x, x * a + b, 'k-', alpha=0.6, label=f"slope = ${a: 1.2f}$")

diff --git a/_sources/ch_mcs.md b/_sources/ch_mcs.md
@@ -31,7 +31,7 @@ import quantecon_book_networks.input_output as qbn_io
 import quantecon_book_networks.plotting as qbn_plt
 import quantecon_book_networks.data as qbn_data
 ch4_data = qbn_data.markov_chains_and_networks()
-export_figures = True
+export_figures = False
 ```
 
 ```{code-cell} ipython3
@@ -374,8 +374,7 @@ def transition(P, n, ax=None):
     ax.plot(range(1, nstates+1), s, '-o', alpha=0.6)
     ax.set(ylim=(0, 0.25), 
            xticks=((1, nstates)))
-    ax.set_title(f"t = {n}")
-    ax.set_xlabel("Quantile")
+    ax.set_title(f"$t = {n}$")
     
     return ax
 ```
@@ -388,7 +387,7 @@ fig, axes = plt.subplots(1, len(ns), figsize=(6, 4))
 
 for n, ax in zip(ns, axes):
     ax = transition(P_B, n, ax=ax)
-    
+    ax.set_xlabel("Quantile")
 
 plt.tight_layout()
 if export_figures:

diff --git a/_sources/ch_opt.md b/_sources/ch_opt.md
@@ -31,7 +31,7 @@ import quantecon_book_networks.input_output as qbn_io
 import quantecon_book_networks.plotting as qbn_plt
 import quantecon_book_networks.data as qbn_data
 ch3_data = qbn_data.optimal_flows()
-export_figures = True
+export_figures = False
 ```
 
 ```{code-cell}

diff --git a/_sources/ch_opt_julia.md b/_sources/ch_opt_julia.md
@@ -10,9 +10,10 @@ jupytext:
 kernelspec:
   display_name: Julia
   language: Julia
-  name: julia-1.7
+  name: julia-1.9
 ---
 
+
 # Chapter 3 - Optimal Flows (Julia Code)
 
 ## Bellman’s Method
@@ -56,8 +57,8 @@ $T^2_q$, $T^3_q$ and plot them. By $T^3_q$ has already converged on $q^∗$.
 
 ```{code-cell}
 using PyPlot
-export_figures = true
-fig, ax = plt.subplots(figsize=[6, 4])
+export_figures = false
+fig, ax = plt.subplots(figsize=(6, 4))
 
 n = 7
 q = zeros(n)
@@ -67,7 +68,7 @@ ax.set_ylabel("nodes")
 
 for i in 1:3
     new_q = T(q)
-    ax.plot(1:n, new_q, "-o", alpha=0.7, label ="iterate $i")
+    ax.plot(1:n, new_q, "-o", alpha=0.7, label="iterate $i")
     q = new_q
 end
 

diff --git a/_sources/ch_production.md b/_sources/ch_production.md
@@ -31,8 +31,8 @@ import quantecon_book_networks.input_output as qbn_io
 import quantecon_book_networks.plotting as qbn_plt
 import quantecon_book_networks.data as qbn_data
 ch2_data = qbn_data.production()
-default_figsize = [6, 4]
-export_figures = True
+default_figsize = (6, 4)
+export_figures = False
 ```
 
 ```{code-cell} ipython3

diff --git a/_sources/status.md b/_sources/status.md
@@ -0,0 +1,17 @@
+---
+jupytext:
+  text_representation:
+    extension: .md
+    format_name: myst
+kernelspec:
+  display_name: Python 3
+  language: python
+  name: python3
+---
+
+# Execution Statistics
+
+This table contains the latest execution statistics.
+
+```{nb-exec-table}
+```
diff --git a/....1e8bd061cd6da7fc9cf755528e8ffc24.min.css → ....4045f2051d55cab465a707391d5b2007.min.css b/....1e8bd061cd6da7fc9cf755528e8ffc24.min.css → ....4045f2051d55cab465a707391d5b2007.min.css
diff --git a/_static/_sphinx_javascript_frameworks_compat.js b/_static/_sphinx_javascript_frameworks_compat.js
@@ -0,0 +1,134 @@
+/*
+ * _sphinx_javascript_frameworks_compat.js
+ * ~~~~~~~~~~
+ *
+ * Compatability shim for jQuery and underscores.js.
+ *
+ * WILL BE REMOVED IN Sphinx 6.0
+ * xref RemovedInSphinx60Warning
+ *
+ */
+
+/**
+ * select a different prefix for underscore
+ */
+$u = _.noConflict();
+
+
+/**
+ * small helper function to urldecode strings
+ *
+ * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/decodeURIComponent#Decoding_query_parameters_from_a_URL
+ */
+jQuery.urldecode = function(x) {
+    if (!x) {
+        return x
+    }
+    return decodeURIComponent(x.replace(/\+/g, ' '));
+};
+
+/**
+ * small helper function to urlencode strings
+ */
+jQuery.urlencode = encodeURIComponent;
+
+/**
+ * This function returns the parsed url parameters of the
+ * current request. Multiple values per key are supported,
+ * it will always return arrays of strings for the value parts.
+ */
+jQuery.getQueryParameters = function(s) {
+    if (typeof s === 'undefined')
+        s = document.location.search;
+    var parts = s.substr(s.indexOf('?') + 1).split('&');
+    var result = {};
+    for (var i = 0; i < parts.length; i++) {
+        var tmp = parts[i].split('=', 2);
+        var key = jQuery.urldecode(tmp[0]);
+        var value = jQuery.urldecode(tmp[1]);
+        if (key in result)
+            result[key].push(value);
+        else
+            result[key] = [value];
+    }
+    return result;
+};
+
+/**
+ * highlight a given string on a jquery object by wrapping it in
+ * span elements with the given class name.
+ */
+jQuery.fn.highlightText = function(text, className) {
+    function highlight(node, addItems) {
+        if (node.nodeType === 3) {
+            var val = node.nodeValue;
+            var pos = val.toLowerCase().indexOf(text);
+            if (pos >= 0 &&
+                !jQuery(node.parentNode).hasClass(className) &&
+                !jQuery(node.parentNode).hasClass("nohighlight")) {
+                var span;
+                var isInSVG = jQuery(node).closest("body, svg, foreignObject").is("svg");
+                if (isInSVG) {
+                    span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
+                } else {
+                    span = document.createElement("span");
+                    span.className = className;
+                }
+                span.appendChild(document.createTextNode(val.substr(pos, text.length)));
+                node.parentNode.insertBefore(span, node.parentNode.insertBefore(
+                    document.createTextNode(val.substr(pos + text.length)),
+                    node.nextSibling));
+                node.nodeValue = val.substr(0, pos);
+                if (isInSVG) {
+                    var rect = document.createElementNS("http://www.w3.org/2000/svg", "rect");
+                    var bbox = node.parentElement.getBBox();
+                    rect.x.baseVal.value = bbox.x;
+                    rect.y.baseVal.value = bbox.y;
+                    rect.width.baseVal.value = bbox.width;
+                    rect.height.baseVal.value = bbox.height;
+                    rect.setAttribute('class', className);
+                    addItems.push({
+                        "parent": node.parentNode,
+                        "target": rect});
+                }
+            }
+        }
+        else if (!jQuery(node).is("button, select, textarea")) {
+            jQuery.each(node.childNodes, function() {
+                highlight(this, addItems);
+            });
+        }
+    }
+    var addItems = [];
+    var result = this.each(function() {
+        highlight(this, addItems);
+    });
+    for (var i = 0; i < addItems.length; ++i) {
+        jQuery(addItems[i].parent).before(addItems[i].target);
+    }
+    return result;
+};
+
+/*
+ * backward compatibility for jQuery.browser
+ * This will be supported until firefox bug is fixed.
+ */
+if (!jQuery.browser) {
+    jQuery.uaMatch = function(ua) {
+        ua = ua.toLowerCase();
+
+        var match = /(chrome)[ \/]([\w.]+)/.exec(ua) ||
+            /(webkit)[ \/]([\w.]+)/.exec(ua) ||
+            /(opera)(?:.*version|)[ \/]([\w.]+)/.exec(ua) ||
+            /(msie) ([\w.]+)/.exec(ua) ||
+            ua.indexOf("compatible") < 0 && /(mozilla)(?:.*? rv:([\w.]+)|)/.exec(ua) ||
+            [];
+
+        return {
+            browser: match[ 1 ] || "",
+            version: match[ 2 ] || "0"
+        };
+    };
+    jQuery.browser = {};
+    jQuery.browser[jQuery.uaMatch(navigator.userAgent).browser] = true;
+}