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

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/qs.py

@@ -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()

source/rst/_static/lecture_specific/pandas/data/test_pwt.csv

@@ -0,0 +1,9 @@
+"country","country isocode","year","POP","XRAT","tcgdp","cc","cg"
+"Argentina","ARG","2000","37335.653","0.9995","295072.21869","75.716805379","5.5788042896"
+"Australia","AUS","2000","19053.186","1.72483","541804.6521","67.759025993","6.7200975332"
+"India","IND","2000","1006300.297","44.9416","1728144.3748","64.575551328","14.072205773"
+"Israel","ISR","2000","6114.57","4.07733","129253.89423","64.436450847","10.266688415"
+"Malawi","MWI","2000","11801.505","59.543808333","5026.2217836","74.707624181","11.658954494"
+"South Africa","ZAF","2000","45064.098","6.93983","227242.36949","72.718710427","5.7265463933"
+"United States","USA","2000","282171.957","1","9898700","72.347054303","6.0324539789"
+"Uruguay","URY","2000","3219.793","12.099591667","25255.961693","78.978740282","5.108067988"

source/rst/_static/lecture_specific/pandas/wb_download.py

@@ -0,0 +1,19 @@
+import matplotlib.pyplot as plt
+import requests
+import pandas as pd
+
+# == Get data and read into file gd.xls == #
+wb_data_query = "http://api.worldbank.org/v2/en/indicator/gc.dod.totl.gd.zs?downloadformat=excel"
+r = requests.get(wb_data_query)
+with open('gd.xls', 'wb') as output:
+    output.write(r.content)
+
+# == Parse data into a DataFrame == #
+govt_debt = pd.read_excel('gd.xls', sheet_name='Data', skiprows=3, index_col=1)
+
+# == Take desired values and plot == #
+govt_debt = govt_debt.transpose()
+govt_debt = govt_debt[['AUS', 'USA']]
+govt_debt = govt_debt[38:]
+govt_debt.plot(lw=2)
+plt.show()

source/rst/_static/lecture_specific/python_advanced_features/numbers.txt

@@ -0,0 +1,6 @@
+prices
+3
+8
+
+7
+21

source/rst/_static/lecture_specific/python_foundations/us_cities.txt

@@ -0,0 +1,9 @@
+new york: 8244910
+los angeles: 3819702
+chicago: 2707120 
+houston: 2145146
+philadelphia: 1536471
+phoenix: 1469471
+san antonio: 1359758
+san diego: 1326179
+dallas: 1223229