diff --git a/.python-version b/.python-version
new file mode 100644
index 00000000..171a6a93
--- /dev/null
+++ b/.python-version
@@ -0,0 +1 @@
+3.12.1
diff --git a/grep b/grep
new file mode 100644
index 00000000..e69de29b
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 00000000..590cdaf5
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,28 @@
+[project]
+name = "python-mastery"
+version = "0.1.0"
+description = "Advanced python coursework."
+authors = [
+    { name = "bitmole", email = "robert@idea-loop.com" }
+]
+dependencies = []
+readme = "README.md"
+requires-python = ">= 3.8"
+
+[project.scripts]
+hello = "python_mastery:hello"
+pcost = "python_mastery:pcost"
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.rye]
+managed = true
+dev-dependencies = []
+
+[tool.hatch.metadata]
+allow-direct-references = true
+
+[tool.hatch.build.targets.wheel]
+packages = ["src/python_mastery"]
diff --git a/requirements-dev.lock b/requirements-dev.lock
new file mode 100644
index 00000000..8f230963
--- /dev/null
+++ b/requirements-dev.lock
@@ -0,0 +1,10 @@
+# generated by rye
+# use `rye lock` or `rye sync` to update this lockfile
+#
+# last locked with the following flags:
+#   pre: false
+#   features: []
+#   all-features: false
+#   with-sources: false
+
+-e file:.
diff --git a/requirements.lock b/requirements.lock
new file mode 100644
index 00000000..8f230963
--- /dev/null
+++ b/requirements.lock
@@ -0,0 +1,10 @@
+# generated by rye
+# use `rye lock` or `rye sync` to update this lockfile
+#
+# last locked with the following flags:
+#   pre: false
+#   features: []
+#   all-features: false
+#   with-sources: false
+
+-e file:.
diff --git a/src/python_mastery/__init__.py b/src/python_mastery/__init__.py
new file mode 100644
index 00000000..a2ba189e
--- /dev/null
+++ b/src/python_mastery/__init__.py
@@ -0,0 +1,6 @@
+def hello():
+    return "Hello from python-mastery!"
+
+def pcost():
+    from .pcost import portfolio_cost
+    print('Total: ', portfolio_cost('Data/portfolio.dat'))
diff --git a/src/python_mastery/art.py b/src/python_mastery/art.py
new file mode 100644
index 00000000..dc9d9c13
--- /dev/null
+++ b/src/python_mastery/art.py
@@ -0,0 +1,15 @@
+# art.py
+
+import sys
+import random
+
+chars = '\|/'
+
+def draw(rows, columns):
+    for r in range(rows):
+        print(''.join(random.choice(chars) for _ in range(columns)))
+
+if __name__ == "__main__":
+    if len(sys.argv) != 3:
+        raise SystemExit('Usage: art.py rows columns')
+    draw(int(sys.argv[1]), int(sys.argv[2]))
diff --git a/src/python_mastery/pcost.py b/src/python_mastery/pcost.py
new file mode 100644
index 00000000..19dd80ba
--- /dev/null
+++ b/src/python_mastery/pcost.py
@@ -0,0 +1,26 @@
+# pcost.py
+
+import sys
+
+def portfolio_cost(path):
+    stockdicts = []
+    with open(path) as f:
+        for row in f:
+            name, shares, price = row.split()
+            try:
+                shares = int(shares)
+                price = float(price)
+                d = dict(zip(['name', 'shares', 'price'], (name, shares, price)))
+                print(d)
+                stockdicts.append(d)
+            except ValueError as e:
+                print('Could not parse: ', row, end='')
+                print('Reason: ', e)
+
+    return sum(s['shares'] * s['price'] for s in stockdicts)
+
+
+if __name__ == "__main__":
+    if len(sys.argv) != 2:
+        raise SystemExit('Usage: pcost portfile')
+    print('Total cost:', portfolio_cost(sys.argv[1]))
diff --git a/src/python_mastery/readport.py b/src/python_mastery/readport.py
new file mode 100644
index 00000000..6ca985a3
--- /dev/null
+++ b/src/python_mastery/readport.py
@@ -0,0 +1,23 @@
+# readport.py
+
+import csv
+
+def read_portfolio(filename):
+    """Reads a file into a list of dicts representing stock holdings
+
+    :filename: TODO
+    :returns: TODO
+
+    """
+    portfolio = []
+    with open(filename) as f:
+        rows = csv.reader(f)
+        headers = next(rows) # skip headers
+        for row in rows:
+            holding = {
+                    'name': row[0],
+                    'shares': int(row[1]),
+                    'price': float(row[2]),
+                    }
+            portfolio.append(holding)
+    return portfolio
diff --git a/src/python_mastery/readrides.py b/src/python_mastery/readrides.py
new file mode 100644
index 00000000..01ff1440
--- /dev/null
+++ b/src/python_mastery/readrides.py
@@ -0,0 +1,152 @@
+# readrides.py
+
+import csv
+from collections import namedtuple
+
+class Ride(object):
+    def __init__(self, route, date, daytype, rides):
+        self._route = route
+        self._date = date
+        self._daytype = daytype
+        self._rides = rides
+
+class SlotRide(object):
+    __slots__ = ['_route', '_date', '_daytype', '_rides']
+    def __init__(self, route, date, daytype, rides):
+        self._route = route
+        self._date = date
+        self._daytype = daytype
+        self._rides = rides
+
+TupRide = namedtuple('TupRide', ['route', 'date', 'daytype', 'rides'])
+        
+
+def read_rides_as_strings(filename):
+    """
+    Read the bus ride data as a list of strings
+    """
+    records = []
+    with open(filename) as f:
+        for row in f:
+            records.append(row)
+    return records
+
+def read_rides_as_tuples(filename):
+    """
+    Read the bus ride data as a list of tuples
+    """
+    records = []
+    with open(filename) as f:
+        rows = csv.reader(f)
+        headings = next(rows) # skip headers
+        for row in rows:
+            route, date, daytype, rides = row
+            rides = int(rides)
+            records.append((route, date, daytype, rides))
+    return records
+
+def read_rides_as_namedtuples(filename):
+    """
+    Read the bus ride data as a list of named tuples
+    """
+    records = []
+    with open(filename) as f:
+        rows = csv.reader(f)
+        headings = next(rows) # skip headers
+        for row in rows:
+            route, date, daytype, rides = row
+            rides = int(rides)
+            records.append(TupRide(route, date, daytype, rides))
+    return records
+
+def read_rides_as_dicts(filename):
+    """
+    Read the bus ride data as a list of dictionaries
+    """
+    records = []
+    with open(filename) as f:
+        rows = csv.reader(f)
+        headings = next(rows) # skip headers
+        for row in rows:
+            route, date, daytype, rides = row
+            record = dict(
+                    zip(
+                        ('route', 'date', 'daytype', 'rides'), 
+                        (route, date, daytype, int(rides))))
+            records.append(record)
+    return records
+
+def read_rides_as_objects(filename):
+    """
+    Read the bus ride data as a list of objects
+    """
+    records = []
+    with open(filename) as f:
+        rows = csv.reader(f)
+        headings = next(rows) # skip headers
+        for row in rows:
+            route, date, daytype, rides = row
+            records.append(Ride(route, date, daytype, int(rides)))
+    return records
+
+def read_rides_as_slobjects(filename):
+    """
+    Read the bus ride data as a list of objects with slots
+    """
+    records = []
+    with open(filename) as f:
+        rows = csv.reader(f)
+        headings = next(rows) # skip headers
+        for row in rows:
+            route, date, daytype, rides = row
+            records.append(SlotRide(route, date, daytype, int(rides)))
+    return records
+
+def anal(dicts):
+
+    # how many bus routes exist in Chicago
+    routes = {d['route'] for d in dicts}
+    print('Number of bus routes: ', len(routes))
+
+    # how many people rode the number 22 bus on February 2, 2011?
+    rides = [d['rides'] for d in dicts if d['route']=='22' and d['date']=='02/02/2011']
+    print('Riders on a given day: ', sum(rides))
+
+    # what's the total number of rides taken on each bus route?
+    from collections import Counter
+    totals = Counter()
+    for d in dicts:
+        totals[d['route']] += d['rides']
+    print('Total rides by route: ', totals.most_common(5))
+
+    # what five bus routes had the greatest ten-year increase in ridershiop from 2001 to 2011?
+    old = {d['route']: d['rides'] for d in dicts if d['date'].endswith('2001')}
+    new = {d['route']: d['rides'] for d in dicts if d['date'].endswith('2011')}
+    increases = Counter()
+    for route, rides in new.items():
+        increases[route] += rides - old.get(route, 0)
+    print('Top five increases: ', increases.most_common(5))
+
+
+if __name__ == "__main__":
+    import sys
+    import tracemalloc
+    if len(sys.argv) != 3:
+        raise SystemExit('usage: readrides filename datastructure[strings, tuples, namedtupes, dicts, objects, slots]')
+
+    callmap = {
+            "strings": read_rides_as_strings,
+            "tuples": read_rides_as_tuples,
+            "namedtuples": read_rides_as_namedtuples,
+            "dicts": read_rides_as_dicts,
+            "obs": read_rides_as_objects,
+            "slobs": read_rides_as_slobjects,
+            }
+
+    reader, filename = callmap[sys.argv[2]], sys.argv[1]
+    tracemalloc.start()
+    recs = reader(filename)
+    print('Memory Use: Current %d, Peak %d' % tracemalloc.get_traced_memory())
+
+    if sys.argv[2] == 'dicts':
+        anal(recs)
diff --git a/src/python_mastery/stock.py b/src/python_mastery/stock.py
new file mode 100644
index 00000000..b1a4341a
--- /dev/null
+++ b/src/python_mastery/stock.py
@@ -0,0 +1,11 @@
+# stock.py
+
+class Stock(object):
+    """Represents a stock"""
+    def __init__(self, name, shares, price):
+        self._name = name
+        self._shares = shares
+        self._price = price
+
+    def cost(self):
+        return self._shares * self._price