Added solution code

Solutions/3_7/fileparse.py

@@ -0,0 +1,39 @@
+# fileparse.py
+import csv
+
+def parse_csv(filename, select=None, types=None, has_headers=True, delimiter=','):
+    '''
+    Parse a CSV file into a list of records with type conversion.
+    '''
+    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 
+        if select:
+            indices = [ headers.index(colname) for colname in select ]
+            headers = select
+
+        records = []
+        for row in rows:
+            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:
+                row = [func(val) for func, val in zip(types, row)]
+
+            # Make a dictionary or a tuple
+            if headers:
+                record = dict(zip(headers, row))
+            else:
+                record = tuple(row)
+            records.append(record)
+
+        return records