Added solution code

Solutions/3_14/fileparse.py

@@ -0,0 +1,48 @@
+# fileparse.py
+import csv
+
+def parse_csv(filename, select=None, types=None, has_headers=True, delimiter=',', silence_errors=False):
+    '''
+    Parse a CSV file into a list of records with type conversion.
+    '''
+    if select and not has_headers:
+        raise RuntimeError('select requires column headers')
+
+    with open(filename) as f:
+        rows = csv.reader(f, delimiter=delimiter)
+
+        # Read the file headers (if any)
+        headers = next(rows) if has_headers else []
+
+        # If specific columns have been selected, make indices for filtering and set output columns
+        if select:
+            indices = [ headers.index(colname) for colname in select ]
+            headers = select
+
+        records = []
+        for rowno, row in enumerate(rows, 1):
+            if not row:     # Skip rows with no data
+                continue
+
+            # If specific column indices are selected, pick them out
+            if select:
+                row = [ row[index] for index in indices]
+
+            # Apply type conversion to the row
+            if types:
+                try:
+                    row = [func(val) for func, val in zip(types, row)]
+                except ValueError as e:
+                    if not silence_errors:
+                        print(f"Row {rowno}: Couldn't convert {row}")
+                        print(f"Row {rowno}: Reason {e}")
+                    continue
+
+            # Make a dictionary or a tuple
+            if headers:
+                record = dict(zip(headers, row))
+            else:
+                record = tuple(row)
+            records.append(record)
+
+        return records

Solutions/3_14/pcost.py

@@ -0,0 +1,19 @@
+# pcost.py
+
+import report
+
+def portfolio_cost(filename):
+    '''
+    Computes the total cost (shares*price) of a portfolio file
+    '''
+    portfolio = report.read_portfolio(filename)
+    return sum([s['shares']*s['price'] for s in portfolio])
+
+import sys
+if len(sys.argv) == 2:
+    filename = sys.argv[1]
+else:
+    filename = input('Enter a filename:')
+
+cost = portfolio_cost(filename)
+print('Total cost:', cost)

Solutions/3_14/report.py

@@ -0,0 +1,56 @@
+# report.py
+
+import fileparse
+
+def read_portfolio(filename):
+    '''
+    Read a stock portfolio file into a list of dictionaries with keys
+    name, shares, and price.
+    '''
+    return fileparse.parse_csv(filename, select=['name','shares','price'], types=[str,int,float])
+
+def read_prices(filename):
+    '''
+    Read a CSV file of price data into a dict mapping names to prices.
+    '''
+    return dict(fileparse.parse_csv(filename,types=[str,float], has_headers=False))
+
+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
+
+def print_report(reportdata):
+    '''
+    Print a nicely formated table from a list of (name, shares, price, change) tuples.
+    '''
+    headers = ('Name','Shares','Price','Change')
+    print('%10s %10s %10s %10s' % headers)
+    print(('-'*10 + ' ')*len(headers))
+    for row in reportdata:
+        print('%10s %10d %10.2f %10.2f' % row)
+
+def portfolio_report(portfoliofile,pricefile):        
+    '''
+    Make a stock report given portfolio and price data files.
+    '''
+    # Read data files 
+    portfolio = read_portfolio(portfoliofile)
+    prices = read_prices(pricefile)
+
+    # Create the report data
+    report = make_report_data(portfolio, prices)
+
+    # Print it out
+    print_report(report)
+
+portfolio_report('../../Work/Data/portfolio.csv',
+                 '../../Work/Data/prices.csv')