Added solution code

Solutions/2_11/report.py

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+# report.py
+import csv
+
+def read_portfolio(filename):
+    '''
+    Read a stock portfolio file into a list of dictionaries with keys
+    name, shares, and price.
+    '''
+    portfolio = []
+    with open(filename) as f:
+        rows = csv.reader(f)
+        headers = next(rows)
+
+        for row in rows:
+            stock = {
+                 'name'   : row[0],
+                 'shares' : int(row[1]),
+                 'price'   : float(row[2])
+            }
+            portfolio.append(stock)
+
+    return portfolio
+
+def read_prices(filename):
+    '''
+    Read a CSV file of price data into a dict mapping names to prices.
+    '''
+    prices = {}
+    with open(filename) as f:
+        rows = csv.reader(f)
+        for row in rows:
+            try:
+                prices[row[0]] = float(row[1])
+            except IndexError:
+                pass
+
+    return prices
+
+def make_report_data(portfolio, prices):
+    '''
+    Make a list of (name, shares, price, change) tuples given a portfolio list
+    and prices dictionary.
+    '''
+    rows = []
+    for stock in portfolio:
+        current_price = prices[stock['name']]
+        change = current_price - stock['price']
+        summary = (stock['name'], stock['shares'], current_price, change)
+        rows.append(summary)
+    return rows
+        
+# Read data files and create the report data        
+
+portfolio = read_portfolio('../../Work/Data/portfolio.csv')
+prices = read_prices('../../Work/Data/prices.csv')
+
+# Generate the report data
+
+report = make_report_data(portfolio, prices)
+
+# Output the report
+headers = ('Name', 'Shares', 'Price', 'Change')
+print('%10s %10s %10s %10s' % headers)
+print(('-' * 10 + ' ') * len(headers))
+for row in report:
+    print('%10s %10d %10.2f %10.2f' % row)