link to you try output code.

Author: mikeckennedy

apps/09_real_estate_analyzer/you_try/README.md

@@ -18,13 +18,30 @@ Key concepts introduced
 
 Dictionaries are data structures which allow random access by a key (string, number, whatever). They are extremely common and powerful in Python.
 
-    info = dict()  # {}    info['age'] = 42    info['loc'] = 'Italy'    info = dict(age=42, loc='Italy')    info = {'age': 42, 'loc': 'Italy'}    location = info['loc']    if 'age' in info:         # use info['age']
+    info = dict()  # {}
+    info['age'] = 42
+    info['loc'] = 'Italy'
+
+    info = dict(age=42, loc='Italy')
+    info = {'age': 42, 'loc': 'Italy'}
+
+    location = info['loc']
+
+    if 'age' in info: 
+        # use info['age']
 
 **Lambdas**
 
 Lambdas are small inline methods.
 
-    def find_sig_nums(nums, predicate):        for n in nums:            if predicate(n):                yield n    numbers = [1, 1, 2, 3, 5, 8, 13, 21, 34]    sig = find_sig_nums(numbers, lambda x: x % 2 == 1)    # sig -> [1, 1, 3, 5, 13, 21]
+    def find_sig_nums(nums, predicate):
+        for n in nums:
+            if predicate(n):
+                yield n
+
+    numbers = [1, 1, 2, 3, 5, 8, 13, 21, 34]
+    sig = find_sig_nums(numbers, lambda x: x % 2 == 1)
+    # sig -> [1, 1, 3, 5, 13, 21]
 
 **CSV File Parsing**
 
@@ -40,18 +57,40 @@ Lambdas are small inline methods.
 
 **py2 vs py3**
 
-    try:        import statistics # only Python 3.4.3+    except:        # statitics_2_stand_in defines a mean method        import statitics_2_stand_in as statistics
+    try:
+        import statistics # only Python 3.4.3+
+    except:
+        # statitics_2_stand_in defines a mean method
+        import statitics_2_stand_in as statistics
 
     # Can use statistics.mean as needed
 
-    numbers = [1, 6, 99, ..., 5]    the_ave = statistics.mean(numbers)
+    numbers = [1, 6, 99, ..., 5]
+    the_ave = statistics.mean(numbers)
 
 **List comprehensions**
 
-    paying_usernames = [        u.name        for u in get_active_customers()        if u.last_purchase == today    ]
-    # paying_usernames is a list
+    paying_usernames = [
+        u.name
+        for u in get_active_customers()
+        if u.last_purchase == today
+    ]
+    # paying_usernames is a list
 
 **Generator expressions**
 
-    paying_usernames = (        u.name        for u in get_active_customers()        if u.last_purchase == today    )    # paying_usernames is a generator
+    paying_usernames = (
+        u.name
+        for u in get_active_customers()
+        if u.last_purchase == today
+    )
+    # paying_usernames is a generator
+
+
+------------------
+
+Note: To see finished code that outputs the expected 
+numbers, you can use this alternate branch:
 
+App 9's [program.py](https://github.com/mikeckennedy/python-jumpstart-course-demos/blob/app_9_matching_output/apps/09_real_estate_analyzer/final/program.py)
+ for this "you try" section