Merge pull request #10 from QuantEcon/update-src-conf.py

update source files from update to conf.py in lecture-python-programming

Author: mmcky

conf.py

@@ -478,3 +478,8 @@
 
 # pdf toc file
 jupyter_pdf_book_index = "index_toc"
+
+# tomyst Config
+
+# Set Destination path
+tomyst_static_file_path = ['source/rst/_static']

source/rst/_static/includes/header.raw

@@ -0,0 +1,7 @@
+.. raw:: html
+
+		<div id="qe-notebook-header" align="right" style="text-align:right;">
+			<a href="https://quantecon.org/" title="quantecon.org">
+				<img style="width:250px;display:inline;" width="250px" src="https://assets.quantecon.org/img/qe-menubar-logo.svg" alt="QuantEcon">
+			</a>
+		</div>

source/rst/_static/includes/lecture_howto_py.raw

@@ -0,0 +1,7 @@
+.. raw:: html
+
+		<div id="qe-notebook-header" style="text-align:right;">
+			<a href="https://quantecon.org/" title="quantecon.org">
+				<img style="width:250px;display:inline;" src="https://assets.quantecon.org/img/qe-menubar-logo.svg" alt="QuantEcon">
+			</a>
+		</div>

source/rst/_static/lecture_specific/about_py/bn_density1.png

@@ -0,0 +1,47 @@
+
+import matplotlib.pyplot as plt
+import numpy as np
+from scipy.stats import norm
+from matplotlib import cm
+
+xmin, xmax = -4, 12
+x = 10
+α = 0.5
+
+m, v = x, 10
+
+xgrid = np.linspace(xmin, xmax, 200)
+
+fig, ax = plt.subplots()
+
+ax.spines['right'].set_color('none')
+ax.spines['top'].set_color('none')
+ax.spines['left'].set_color('none')
+ax.xaxis.set_ticks_position('bottom')
+ax.spines['bottom'].set_position(('data', 0))
+
+ax.set_ylim(-0.05, 0.5)
+ax.set_xticks((x,))
+ax.set_xticklabels((r'$x$', ), fontsize=18)
+ax.set_yticks(())
+
+K = 3
+for i in range(K):
+    m = α * m
+    v = α * α * v + 1
+    f = norm(loc=m, scale=np.sqrt(v))
+    k = (i + 0.5) / K
+    ax.plot(xgrid, f.pdf(xgrid), lw=1, color='black', alpha=0.4)
+    ax.fill_between(xgrid, 0 * xgrid, f.pdf(xgrid), color=cm.jet(k), alpha=0.4)
+
+
+ax.annotate(r'$Q(x,\cdot)$', xy=(6.6, 0.2),  xycoords='data',
+            xytext=(20, 90), textcoords='offset points', fontsize=16,
+            arrowprops=dict(arrowstyle="->", connectionstyle="arc3,rad=-0.2"))
+ax.annotate(r'$Q^2(x,\cdot)$', xy=(3.6, 0.24),  xycoords='data',
+            xytext=(20, 90), textcoords='offset points', fontsize=16,
+            arrowprops=dict(arrowstyle="->", connectionstyle="arc3,rad=-0.2"))
+ax.annotate(r'$Q^3(x,\cdot)$', xy=(-0.2, 0.28),  xycoords='data',
+            xytext=(-90, 90), textcoords='offset points', fontsize=16,
+            arrowprops=dict(arrowstyle="->", connectionstyle="arc3,rad=0.2"))
+fig.show()