diff --git a/.gitignore b/.gitignore
index 68bc17f9..863a6acb 100644
--- a/.gitignore
+++ b/.gitignore
@@ -157,4 +157,5 @@ cython_debug/
 #  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
 #  and can be added to the global gitignore or merged into this file.  For a more nuclear
 #  option (not recommended) you can uncomment the following to ignore the entire idea folder.
-#.idea/
+.idea/
+/Data/stocklog.csv
diff --git a/PythonMastery.pdf b/PythonMastery.pdf
index e8f0c068..c3113bc0 100644
Binary files a/PythonMastery.pdf and b/PythonMastery.pdf differ
diff --git a/art.py b/art.py
new file mode 100644
index 00000000..f0585030
--- /dev/null
+++ b/art.py
@@ -0,0 +1,16 @@
+#!
+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/cofollow.py b/cofollow.py
new file mode 100644
index 00000000..8bf7ee94
--- /dev/null
+++ b/cofollow.py
@@ -0,0 +1,51 @@
+import os
+import time
+
+# Decorator for coroutine functions
+from functools import wraps
+
+
+# Data source
+def follow(filename, target):
+    with open(filename, "r") as f:
+        f.seek(0, os.SEEK_END)
+        while True:
+            line = f.readline()
+            if line != "":
+                target.send(line)
+            else:
+                time.sleep(0.1)
+
+
+def consumer(func):
+    @wraps(func)
+    def start(*args, **kwargs):
+        f = func(*args, **kwargs)
+        f.send(None)
+        return f
+
+    return start
+
+
+@consumer
+def printer():
+    while True:
+        try:
+            item = yield
+            print(item)
+        except Exception as e:
+            print("ERROR: %r" % e)
+
+
+# Example use
+if __name__ == "__main__":
+    p = printer()
+    p.send("hello")
+
+    p.send(42)
+
+    p.throw(ValueError("It failed"))
+    try:
+        int("n/a")
+    except ValueError as e:
+        p.throw(e)
diff --git a/coticker.py b/coticker.py
new file mode 100644
index 00000000..cbe58ae4
--- /dev/null
+++ b/coticker.py
@@ -0,0 +1,66 @@
+from structure import Structure
+
+
+from cofollow import consumer, follow
+from tableformat import create_formatter
+import csv
+
+
+class Ticker(Structure):
+    name = String()
+    price = Float()
+    date = String()
+    time = String()
+    change = Float()
+    open = Float()
+    high = Float()
+    low = Float()
+    volume = Integer()
+
+
+# Coroutine that splits rows using the CSV module.  This is rather
+# mind-bending due to the fact that the csv module only understands
+# iteration with the for-loop.  To make it work, we wrap it around
+# a generator that simply produces the last item received.
+@consumer
+def to_csv(target):
+    def producer():
+        while True:
+            yield line
+
+    reader = csv.reader(producer())
+    while True:
+        line = yield
+        target.send(next(reader))
+
+
+@consumer
+def create_ticker(target):
+    while True:
+        row = yield
+        target.send(Ticker.from_row(row))
+
+
+@consumer
+def negchange(target):
+    while True:
+        record = yield
+        if record.change < 0:
+            target.send(record)
+
+
+@consumer
+def ticker(fmt, fields):
+    formatter = create_formatter(fmt)
+    formatter.headings(fields)
+    while True:
+        rec = yield
+        row = [getattr(rec, name) for name in fields]
+        formatter.row(row)
+
+
+if __name__ == "__main__":
+    follow(
+        "Data/stocklog.csv",
+        to_csv(create_ticker(negchange(ticker("text", ["name", "price", "change"])))),
+    )
diff --git a/cta_data_analysis.py b/cta_data_analysis.py
new file mode 100644
index 00000000..50ff20dc
--- /dev/null
+++ b/cta_data_analysis.py
@@ -0,0 +1,138 @@
+from readrides import read_file_as_type, read_rides_as_dicts
+import csv
+from pprint import pprint
+import tracemalloc
+from collections import Counter, defaultdict
+
+from sys import intern
+from reader import read_csv_as_dicts
+
+
+def solutions():
+    from collections import defaultdict, Counter
+
+    solution_rows = read_file_as_type(
+        type_name="data_collection", converters=[intern, intern, intern, int]
+    )
+
+    # --------------------------------------------------
+    # Question 1:  How many bus routes are in Chicago?
+    # Solution: Use a set to get unique values.
+
+    routes = set()
+    for row in solution_rows:
+        routes.add(row["route"])
+
+    answer1 = len(routes)
+
+    # --------------------------------------------------
+    # Question 2: How many people rode route 22 on February 2, 2011?
+    # Solution: Make dictionary with composite keys
+
+    by_route_date = {}
+    for row in solution_rows:
+        by_route_date[row["route"], row["date"]] = row["rides"]
+
+    answer2 = by_route_date["22", "02/02/2011"]
+
+    # --------------------------------------------------
+    # Question 3: Total number of rides per route
+    # Solution: Use a counter to tabulate things
+    rides_per_route = Counter()
+    for row in solution_rows:
+        rides_per_route[row["route"]] += row["rides"]
+
+    answer3 = list()
+
+    # Make a table showing the routes and a count ranked by popularity
+    for route, count in rides_per_route.most_common():
+        answer3.append((route, count))
+
+    # --------------------------------------------------
+    # Question 4: Routes with greatest increase in ridership 2001 - 2011
+    # Solution: Counters embedded inside a defaultdict
+
+    answer4 = list()
+    rides_by_year = defaultdict(Counter)
+
+    for row in solution_rows:
+        year = row["date"].split("/")[2]
+        rides_by_year[year][row["route"]] += row["rides"]
+
+    diffs = rides_by_year["2011"] - rides_by_year["2001"]
+
+    for route, diff in diffs.most_common(5):
+        answer4.append((route, diff))
+
+    return {
+        "answer1": answer1,
+        "answer2": answer2,
+        "answer3": answer3,
+        "answer4": answer4,
+    }
+
+
+rides_by_route = Counter()
+rides_by_year = defaultdict(Counter)
+unique_routes = set()
+by_route_date = {}
+
+rows = read_file_as_type(
+    filename="Data/ctabus.csv",
+    type_name="data_collection",
+    converters=[intern, intern, intern, int],
+)
+
+status = 0
+
+for row in rows:
+
+    route, date, daytype, rides = row.values()
+    if status < 10:
+        pprint({"route": route, "date": date, "daytype": daytype, "rides": rides})
+        status += 1
+
+    year = date.split("/")[2]
+
+    unique_routes.add(route)
+
+    by_route_date[route, date] = rides
+
+    rides_by_year[year][route] += rides
+
+    rides_by_route[route] += rides
+
+unique_routes = sorted(unique_routes)
+
+answers = solutions()
+
+
+def check_my_answer(answer, solution):
+    if answer == solution:
+        print(f"{answer} is correct!")
+    else:
+        print(f"{answer} is not correct! The correct answer is {solution}")
+
+
+# How many bus routes exist in Chicago?
+myAnswer1 = len(unique_routes)
+check_my_answer(myAnswer1, answers["answer1"])
+
+
+# How many people rode the number 22 bus on February 2, 2011? What about any route on any date of your choosing?
+myAnswer2 = by_route_date["22", "02/02/2011"]
+check_my_answer(myAnswer2, answers["answer2"])
+
+
+# What is the total number of rides taken on each bus route?
+for index, (route, count) in enumerate(rides_by_route.most_common(10)):
+    myAnswer3 = (route, count)
+    check_my_answer(myAnswer3, answers["answer3"][index])
+
+
+# What five bus routes had the greatest ten-year increase in ridership from 2001 to 2011?
+diffs = rides_by_year["2011"] - rides_by_year["2001"]
+
+for index, (route, diff) in enumerate(diffs.most_common(5)):
+    myAnswer4 = (route, diff)
+    check_my_answer(myAnswer4, answers["answer4"][index])
diff --git a/descrip.py b/descrip.py
new file mode 100644
index 00000000..b4c9a00c
--- /dev/null
+++ b/descrip.py
@@ -0,0 +1,29 @@
+class Descriptor:
+    def __init__(self, name):
+        self.name = name
+
+    def __get__(self, instance, cls):
+        print("%s:__get__" % self.name)
+
+    def __set__(self, instance, value):
+        print("%s:__set__ %s" % (self.name, value))
+
+    def __delete__(self, instance):
+        print("%s:__delete__" % self.name)
+
+
+class Foo:
+    a = Descriptor("a")
+    b = Descriptor("b")
+    c = Descriptor("c")
+
+
+f = Foo()
+print(f)
+print(f.a)
+print(f.b)
+f.a = 23
+
+print(f.a)
+del f.a
+print(f.a)
diff --git a/follow.py b/follow.py
new file mode 100644
index 00000000..ad51a5ba
--- /dev/null
+++ b/follow.py
@@ -0,0 +1,39 @@
+import os
+import time
+
+
+def follow(filename):
+    """
+    Generator that produces a sequence of lines being written at the end of a file.
+    """
+    try:
+        with open(filename, "r") as f:
+            f.seek(0, os.SEEK_END)
+            while True:
+                line = f.readline()
+                if line == "":
+                    time.sleep(0.1)  # Sleep briefly to avoid busy wait
+                    continue
+                yield line
+    except GeneratorExit:
+        print("Following Done")
+
+
+# Example use
+if __name__ == "__main__":
+    # Experiment: Garbage collection of a running generator
+    f = follow("Data/stocklog.csv")
+
+    print("next(f)")
+    next(f)
+    print()
+
+    print("del f")
+    print()
+    del f
+    # Experiment: Closing a generator
+    f = follow("Data/stocklog.csv")
+    for line in f:
+        print(line, end="")
+        if "IBM" in line:
+            f.close()
diff --git a/helloworld.py b/helloworld.py
new file mode 100644
index 00000000..ce47b771
--- /dev/null
+++ b/helloworld.py
@@ -0,0 +1 @@
+print("hello")
\ No newline at end of file
diff --git a/logcall.py b/logcall.py
new file mode 100644
index 00000000..1286329f
--- /dev/null
+++ b/logcall.py
@@ -0,0 +1,84 @@
+from functools import wraps, update_wrapper
+
+WRAPPER_ASSIGNMENTS = ('__module__',
+                       '__name__', '__qualname__', '__doc__',
+                       '__annotations__')
+WRAPPER_UPDATES = ('__dict__',)
+
+
+class object_proxy(object):
+
+    def __init__(self, wrapped):
+        self.wrapped = wrapped
+        try:
+            self.__name__ = wrapped.__name__
+        except AttributeError:
+            pass
+
+    @property
+    def __class__(self):
+        return self.wrapped.__class__
+
+    def __getattr__(self, name):
+        return getattr(self.wrapped, name)
+
+
+def update_wrapper(wrapper, wrapped,
+                   assigned=WRAPPER_ASSIGNMENTS,
+                   updated=WRAPPER_UPDATES):
+    wrapper.__wrapped__ = wrapped
+    for attr in assigned:
+        try:
+            value = getattr(wrapped, attr)
+        except AttributeError:
+            pass
+        else:
+            setattr(wrapper, attr, value)
+    for attr in updated:
+        getattr(wrapper, attr).update(
+            getattr(wrapped, attr, {}))
+
+
+class bound_function_wrapper(object_proxy):
+
+    def __init__(self, wrapped):
+        super(bound_function_wrapper, self).__init__(wrapped)
+
+    def __call__(self, *args, **kwargs):
+        return self.wrapped(*args, **kwargs)
+
+
+class function_wrapper(object_proxy):
+
+    def __init__(self, wrapped):
+        super(function_wrapper, self).__init__(wrapped)
+
+    def __get__(self, instance, owner):
+        wrapped = self.wrapped.__get__(instance, owner)
+        return bound_function_wrapper(wrapped)
+
+    def __call__(self, *args, **kwargs):
+        return self.wrapped(*args, **kwargs)
+
+
+def logformat(fmt):
+    def logged(func):
+        final_func= func
+        if hasattr(func, '__func__'):
+            final_func  = func.__func__
+            print(func.__func__.__str__())
+
+        name = func.fget.__name__ if type(func) == property else func.__name__
+        # print('Adding logging to', name)
+
+        @wraps(func)
+        def wrapper(*args, **kwargs):
+            print(fmt.format(func=func))
+            return final_func(*args, **kwargs)
+
+        return wrapper
+
+    return logged
+
+
+logged = logformat('Calling {func.__name__}')
diff --git a/multitask.py b/multitask.py
new file mode 100644
index 00000000..251864b9
--- /dev/null
+++ b/multitask.py
@@ -0,0 +1,35 @@
+from collections import deque
+
+tasks = deque()
+
+
+def run():
+    while tasks:
+        task = tasks.popleft()
+        try:
+            task.send(None)
+            tasks.append(task)
+        except StopIteration:
+            print("Task done")
+
+
+def countdown(n):
+    while n > 0:
+        print("T-minus", n)
+        yield
+        n -= 1
+
+
+def countup(n):
+    x = 0
+    while x < n:
+        print("Up we go", x)
+        yield
+        x += 1
+
+
+if __name__ == "__main__":
+    tasks.append(countdown(10))
+    tasks.append(countdown(5))
+    tasks.append(countup(20))
+    run()
diff --git a/mutint.py b/mutint.py
new file mode 100644
index 00000000..32a9f9b9
--- /dev/null
+++ b/mutint.py
@@ -0,0 +1,62 @@
+from functools import total_ordering
+
+
+@total_ordering
+class MutInt:
+    __slots__ = ["value"]
+
+    def __init__(self, value):
+        self.value = value
+
+    def __str__(self):
+        return str(self.value)
+
+    def __repr__(self):
+        return f"MutInt({self.value!r})"
+
+    def __format__(self, fmt):
+        return format(self.value, fmt)
+
+    def __add__(self, other):
+        if isinstance(other, MutInt):
+            return MutInt(self.value + other.value)
+        elif isinstance(other, int):
+            return MutInt(self.value + other)
+        else:
+            return NotImplemented
+
+    __radd__ = __add__  # Reversed operands
+
+    def __iadd__(self, other):
+        if isinstance(other, MutInt):
+            self.value += other.value
+            return self
+        elif isinstance(other, int):
+            self.value += other
+            return self
+        else:
+            return NotImplemented
+
+    def __eq__(self, other):
+        if isinstance(other, MutInt):
+            return self.value == other.value
+        elif isinstance(other, int):
+            return self.value == other
+        else:
+            return NotImplemented
+
+    def __lt__(self, other):
+        if isinstance(other, MutInt):
+            return self.value < other.value
+        elif isinstance(other, int):
+            return self.value < other
+        else:
+            return NotImplemented
+
+    def __int__(self):
+        return self.value
+
+    __index__ = __int__  # Make indexing work
+
+    def __float__(self):
+        return float(self.value)
diff --git a/mymeta.py b/mymeta.py
new file mode 100644
index 00000000..e7b1af12
--- /dev/null
+++ b/mymeta.py
@@ -0,0 +1,31 @@
+class mytype(type):
+    @staticmethod
+    def __new__(meta, name, bases, __dict__):
+        print("Creating class :", name)
+        print("Base classes   :", bases)
+        print("Attributes     :", list(__dict__))
+        return super().__new__(meta, name, bases, __dict__)
+
+
+class myobject(metaclass=mytype):
+    pass
+
+
+class Stock(myobject):
+    def __init__(self, name, shares, price):
+        self.name = name
+        self.shares = shares
+        self.price = price
+
+    def cost(self):
+        return self.shares * self.price
+
+    def sell(self, nshares):
+        self.shares -= nshares
+
+
+class MyStock(Stock):
+    pass
+
+
+s = MyStock("GOOG", 10, 420.1)
diff --git a/orig_stock.py b/orig_stock.py
new file mode 100644
index 00000000..f988fe01
--- /dev/null
+++ b/orig_stock.py
@@ -0,0 +1,129 @@
+from pprint import pprint
+import sys
+from sys import intern, stdout
+from decimal import Decimal
+from colored import Fore, Back, Style
+
+from typedproperty import String, Integer, Float
+
+# from validate import PositiveFloat, PositiveInteger, Positive, String, NonEmptyString
+
+import reader
+from tableformat import (
+    create_formatter,
+    print_table,
+    TextTableFormatter,
+    UpperHeadersMixin,
+)
+
+
+class redirect_stdout:
+    def __init__(self, out_file):
+        self.out_file = out_file
+
+    def __enter__(self):
+        self.stdout = sys.stdout
+        sys.stdout = self.out_file
+        return self.out_file
+
+    def __exit__(self, ty, val, tb):
+        sys.stdout = self.stdout
+
+
+class Stock:
+    _types = {"name": str, "shares": int, "price": float}
+
+    name = String()
+    # shares = PositiveInteger()
+    shares = Integer()
+    # price = PositiveFloat()
+    price = Float()
+
+    def __init__(self, name, shares, price):
+        self.name = name
+        self.shares = shares
+        self.price = price
+
+    def __setattr__(self, name, value):
+        if name not in {"name", "shares", "price"}:
+            raise AttributeError("No attribute %s" % name)
+        super().__setattr__(name, value)
+
+    def __repr__(self):
+        return f"{type(self).__name__}({self.name!r}, {self.shares!r}, {self.price!r})"
+
+    def __eq__(self, other):
+        return isinstance(other, Stock) and (
+            (self.name, self.shares, self.price)
+            == (other.name, other.shares, other.price)
+        )
+
+    @classmethod
+    def from_row(cls, row):
+        values = [func(val) for func, val in zip(cls._types.values(), row)]
+        return cls(*values)
+
+    @property
+    def cost(self):
+        return self.shares * self.price
+
+    def sell(self, nshares):
+        self.shares -= nshares
+
+
+class DStock(Stock):
+    __slots__ = ("name", "_shares", "_price")
+    _types = {"name": str, "shares": int, "price": Decimal}
+
+    @Stock.cost.getter
+    def cost(self):
+        return Decimal(self._shares) * self._price
+
+
+def read_portfolio(filename="Data/portfolio.csv", cls=Stock):
+    rows = reader.read_file_as_type(
+        filename=filename,
+        type_name="data_collection",
+        converters=[intern, int, float],
+    )
+
+    stocks = list()
+
+    for row in rows:
+        result = cls.from_row(row)
+        stocks.append(result)
+
+    # final = [Stock(name, shares, price) for (name, shares, price) in rows]
+
+    return stocks
+
+
+# portfolio = reader.read_csv_as_instances(filename="Data/portfolio.csv", cls=Stock)
+
+file = open("Data/portfolio.csv")
+
+portfolio = reader.csv_as_instances(lines=file, cls=Stock)
+# portfolio = reader.csv_as_dicts(lines=file, types=[str, int, float])
+
+format_list = [
+    {"name": "text", "column_formats": ['"%s"', "%d", "%0.2f"]},
+    {"name": "text", "upper_headers": True},
+    {"name": "csv", "upper_headers": False},
+    {"name": "csv", "upper_headers": True, "column_formats": ['"%s"', "%d", "%0.2f"]},
+    {"name": "html", "upper_headers": False},
+    {"name": "html", "upper_headers": True, "column_formats": ['"%s"', "%d", "%0.2f"]},
+]
+
+
+def check_formatters():
+    for format_to_use in format_list:
+        formatter = create_formatter(**format_to_use)
+
+        print_table(
+            records=portfolio,
+            fields=["name", "shares", "price"],
+            formatter=formatter,
+        )
+
+
+# check_formatters()
diff --git a/pcost.py b/pcost.py
new file mode 100644
index 00000000..4477b613
--- /dev/null
+++ b/pcost.py
@@ -0,0 +1,22 @@
+def portfolio_cost(filename):
+    total_cost = 0.0
+
+    with open(filename) as f:
+        for line in f:
+            fields = line.split()
+
+            try:
+                nshares = int(fields[1])
+                price = float(fields[2])
+                total_cost = total_cost + nshares * price
+
+            # This catches errors in int() and float() conversions above
+            except ValueError as e:
+                print("Couldn't parse:", repr(line))
+                print("Reason:", e)
+
+    return total_cost
+
+
+if __name__ == "__main__":
+    print("portfolio3 total:", portfolio_cost("Data/portfolio3.dat"))
diff --git a/poetry.lock b/poetry.lock
new file mode 100644
index 00000000..06b3384d
--- /dev/null
+++ b/poetry.lock
@@ -0,0 +1,813 @@
+# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
+
+[[package]]
+name = "aiohttp"
+version = "3.8.5"
+description = "Async http client/server framework (asyncio)"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "aiohttp-3.8.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:a94159871304770da4dd371f4291b20cac04e8c94f11bdea1c3478e557fbe0d8"},
+    {file = "aiohttp-3.8.5-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:13bf85afc99ce6f9ee3567b04501f18f9f8dbbb2ea11ed1a2e079670403a7c84"},
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+    {file = "yarl-1.9.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:2c315df3293cd521033533d242d15eab26583360b58f7ee5d9565f15fee1bef4"},
+    {file = "yarl-1.9.2-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:b7232f8dfbd225d57340e441d8caf8652a6acd06b389ea2d3222b8bc89cbfca6"},
+    {file = "yarl-1.9.2-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:53338749febd28935d55b41bf0bcc79d634881195a39f6b2f767870b72514caf"},
+    {file = "yarl-1.9.2-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:066c163aec9d3d073dc9ffe5dd3ad05069bcb03fcaab8d221290ba99f9f69ee3"},
+    {file = "yarl-1.9.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:8288d7cd28f8119b07dd49b7230d6b4562f9b61ee9a4ab02221060d21136be80"},
+    {file = "yarl-1.9.2-cp39-cp39-win32.whl", hash = "sha256:b124e2a6d223b65ba8768d5706d103280914d61f5cae3afbc50fc3dfcc016623"},
+    {file = "yarl-1.9.2-cp39-cp39-win_amd64.whl", hash = "sha256:61016e7d582bc46a5378ffdd02cd0314fb8ba52f40f9cf4d9a5e7dbef88dee18"},
+    {file = "yarl-1.9.2.tar.gz", hash = "sha256:04ab9d4b9f587c06d801c2abfe9317b77cdf996c65a90d5e84ecc45010823571"},
+]
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+
+[metadata]
+lock-version = "2.0"
+python-versions = "^3.11"
+content-hash = "1fe8b904d77f9ad06bc5ef03c9cf5f8c363ec3176f2a9117aba4121032508c97"
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 00000000..61c69eba
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,17 @@
+[tool.poetry]
+name = "python-mastery"
+version = "0.1.0"
+description = ""
+authors = ["Benjamin Swineford <benjamin@mirusresearch.com>"]
+readme = "README.md"
+
+[tool.poetry.dependencies]
+python = "^3.11"
+black = {extras = ["d"], version = "^23.7.0"}
+colored = "^2.2.3"
+
+
+
+[build-system]
+requires = ["poetry-core"]
+build-backend = "poetry.core.masonry.api"
diff --git a/reader.py b/reader.py
new file mode 100644
index 00000000..93aae70e
--- /dev/null
+++ b/reader.py
@@ -0,0 +1,55 @@
+import csv
+import logging
+
+log = logging.getLogger(__name__)
+
+
+def convert_csv(lines, converter, *, headers=None):
+    rows = csv.reader(lines)
+
+    if headers is None:
+        headers = next(rows)
+
+    records = []
+    for rowno, row in enumerate(rows, start=1):
+        try:
+            records.append(converter(headers, row))
+        except ValueError as e:
+            log.warning("Row %s: Bad row: %s", rowno, row)
+            log.debug("Row %s: Reason: %s", rowno, row)
+    return records
+    # return list(map(lambda row: converter(headers, row), rows))
+
+
+def csv_as_dicts(lines, types, *, headers=None):
+    return convert_csv(
+        lines,
+        lambda headers, row: {
+            name: func(val) for name, func, val in zip(headers, types, row)
+        },
+        headers=headers,
+    )
+
+
+def csv_as_instances(lines, cls, *, headers=None):
+    return convert_csv(
+        lines,
+        lambda headers, row: cls.from_row(row),
+        headers=headers,
+    )
+
+
+def read_csv_as_dicts(filename, types, *, headers=None):
+    """
+    Read CSV data into a list of dictionaries with optional type conversion
+    """
+    with open(filename) as file:
+        return csv_as_dicts(file, types, headers=headers)
+
+
+def read_csv_as_instances(filename, cls, *, headers=None):
+    """
+    Read CSV data into a list of instances
+    """
+    with open(filename) as file:
+        return csv_as_instances(file, cls, headers=headers)
diff --git a/readport.py b/readport.py
new file mode 100644
index 00000000..5db720ff
--- /dev/null
+++ b/readport.py
@@ -0,0 +1,14 @@
+import csv
+
+
+def read_portfolio(filename):
+    portfolio = []
+    with open(filename) as f:
+        rows = csv.reader(f)
+        headers = next(rows)
+
+        for row in rows:
+            record = {"name": row[0], "shares": int(row[1]), "price": float(row[2])}
+            portfolio.append(record)
+
+    return portfolio
diff --git a/readrides.py b/readrides.py
new file mode 100644
index 00000000..aebfad0d
--- /dev/null
+++ b/readrides.py
@@ -0,0 +1,255 @@
+import csv
+import tracemalloc
+from collections.abc import Sequence
+from collections import namedtuple, defaultdict
+
+
+class DataCollection(Sequence):
+    def __init__(self, columns):
+        self.column_names = list(columns)
+        self.column_data = list(columns.values())
+
+    def __len__(self):
+        return len(self.column_data.values()[0])
+
+    def __getitem__(self, key):
+        if isinstance(key, slice):
+            slicer = DataCollection()
+            slicer.column_data = {
+                header: data_list[key] for header, data_list in self.column_data.items()
+            }
+            return slicer
+        elif isinstance(key, int):
+            return dict(zip(self.column_names, (col[key] for col in self.column_data)))
+
+    def append(self, d):
+        for key, val in d.items():
+            self.column_data[key].append(val)
+
+
+class Row:
+    def __init__(self, route, date, daytype, rides):
+        self.route = route
+        self.date = date
+        self.daytype = daytype
+        self.rides = rides
+
+
+class RowWithSlots:
+    # Uncomment to see effect of slots
+    __slots__ = ("route", "date", "daytype", "rides")
+
+    def __init__(self, route, date, daytype, rides):
+        self.route = route
+        self.date = date
+        self.daytype = daytype
+        self.rides = rides
+
+
+# Uncomment to use a namedtuple instead
+# from collections import namedtuple
+# Row = namedtuple('Row',('route','date','daytype','rides'))
+
+
+def read_csv_as_columns(filename, types):
+    columns = defaultdict(list)
+    with open(filename) as f:
+        rows = csv.reader(f)
+        headers = next(rows)
+        for row in rows:
+            for name, func, val in zip(headers, types, row):
+                columns[name].append(func(val))
+
+    return DataCollection(columns)
+
+
+def read_rides_as_data_collection(filename, converters):
+
+    columns = defaultdict(list)
+
+    with open(filename) as f:
+        rows = csv.reader(f)
+        headers = next(rows)
+        for row in rows:
+            for name, func, val in zip(headers, converters, row):
+                columns[name].append(func(val))
+
+    return DataCollection(columns)
+
+
+def read_rides_as_dicts(filename):
+    """
+    Read the bus ride data as a list of dicts
+    """
+    records = DataCollection()
+    with open(filename) as f:
+        rows = csv.reader(f)
+        headings = next(rows)  # Skip headers
+
+        for row in rows:
+            route = row[0]
+            date = row[1]
+            daytype = row[2]
+            rides = int(row[3])
+
+            record = {"route": route, "date": date, "daytype": daytype, "rides": rides}
+            records.append(record)
+
+    return records
+
+
+def read_rides_as_instances(filename):
+    """
+    Read the bus ride data as a list of Class instances
+    """
+    records = []
+    with open(filename) as f:
+        rows = csv.reader(f)
+        headings = next(rows)  # Skip headers
+
+        for row in rows:
+            route = row[0]
+            date = row[1]
+            daytype = row[2]
+            rides = int(row[3])
+            record = Row(route, date, daytype, rides)
+            records.append(record)
+
+    return records
+
+
+def read_rides_as_instances_with_slots(filename):
+    """
+    Read the bus ride data as a list of Class instances
+    """
+    records = []
+    with open(filename) as f:
+        rows = csv.reader(f)
+        headings = next(rows)  # Skip headers
+
+        for row in rows:
+            route = row[0]
+            date = row[1]
+            daytype = row[2]
+            rides = int(row[3])
+            record = RowWithSlots(route, date, daytype, rides)
+            records.append(record)
+
+    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 = row[0]
+            date = row[1]
+            daytype = row[2]
+            rides = int(row[3])
+            record = (route, date, daytype, rides)
+            records.append(record)
+
+    return records
+
+
+RowTuple = namedtuple("Row", ("route", "date", "daytype", "rides"))
+
+
+def read_rides_as_named_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 = row[0]
+            date = row[1]
+            daytype = row[2]
+            rides = int(row[3])
+            record = RowTuple(route, date, daytype, rides)
+
+            records.append(record)
+
+    return records
+
+
+def read_rides_as_generator(filename):
+    f = open(filename)
+    f_csv = csv.reader(f)
+    headers = next(f_csv)
+
+    # rows = list()
+    #
+    # for (route, date, daytype, rides) in f_csv:
+    #     item = dict(zip(headers, (route, date, daytype, rides)))
+    #     if route == "22" and date == "02/02/2011":
+    #         pprint(item)
+    #
+    #     rows.append(item)
+
+    return (dict(zip(headers, row)) for row in f_csv)
+
+
+def read_rides_as_columns(filename):
+    """
+    Read the bus ride data into 4 lists, representing columns
+    """
+    routes = []
+    dates = []
+    daytypes = []
+    numrides = []
+    with open(filename) as f:
+        rows = csv.reader(f)
+        headings = next(rows)  # Skip headers
+        for row in rows:
+            routes.append(row[0])
+            dates.append(row[1])
+            daytypes.append(row[2])
+            numrides.append(int(row[3]))
+    return dict(routes=routes, dates=dates, daytypes=daytypes, numrides=numrides)
+
+
+def read_file_as_type(filename="Data/ctabus.csv", type_name="dict", converters=[]):
+    tracemalloc.start()
+    tracemalloc.clear_traces()
+
+    results = None
+
+    try:
+
+        results = globals()[f"read_rides_as_{type_name}"](filename, converters)
+
+        current, peak = tracemalloc.get_traced_memory()
+
+        print(
+            f"Memory Use for {type_name}: Current {current}, Peak {format(peak, '08,.1f')}"
+        )
+
+    except Exception as e:
+        print(e)
+
+    return results
+
+
+if __name__ == "__main__":
+
+    # for type_name in ["tuple", "named_tuple", "dict", "instance", "slots"]:
+    for function_to_call in [
+        read_rides_as_tuples,
+        read_rides_as_named_tuples,
+        read_rides_as_instances,
+        read_rides_as_instances_with_slots,
+        read_rides_as_dicts,
+    ]:
+        # read_file_as_type("Data/ctabus.csv", type_name)
+        function_to_call("Data/ctabus.csv")
diff --git a/sample.py b/sample.py
new file mode 100644
index 00000000..e74158c3
--- /dev/null
+++ b/sample.py
@@ -0,0 +1,46 @@
+from logcall import logged, logformat
+
+
+@logged
+def add(x, y):
+    'Adds two things'
+    return x + y
+
+
+@logged
+def sub(x, y):
+    return x - y
+
+
+@logformat('{func.__code__.co_filename}:{func.__name__}')
+def mul(x, y):
+    return x * y
+
+
+class Spam:
+    @logged
+    def instance_method(self):
+        pass
+
+    @logged
+    @classmethod
+    def class_method(cls):
+        pass
+
+    @logged
+    @staticmethod
+    def static_method():
+        pass
+
+    @logged
+    @property
+    def property_method(self):
+        return 'property method return'
+
+
+s = Spam()
+print(s)
+print(s.instance_method())
+print(Spam.class_method())
+print(Spam.static_method())
+print(s.property_method)
\ No newline at end of file
diff --git a/server.py b/server.py
new file mode 100644
index 00000000..d604efee
--- /dev/null
+++ b/server.py
@@ -0,0 +1,56 @@
+from socket import *
+from select import select
+from collections import deque
+
+tasks = deque()
+recv_wait = {}  #  sock -> task
+send_wait = {}  #  sock -> task
+
+
+def run():
+    while any([tasks, recv_wait, send_wait]):
+        while not tasks:
+            can_recv, can_send, _ = select(recv_wait, send_wait, [])
+            for s in can_recv:
+                tasks.append(recv_wait.pop(s))
+            for s in can_send:
+                tasks.append(send_wait.pop(s))
+        task = tasks.popleft()
+        try:
+            reason, resource = task.send(None)
+            if reason == "recv":
+                recv_wait[resource] = task
+            elif reason == "send":
+                send_wait[resource] = task
+            else:
+                raise RuntimeError("Unknown reason %r" % reason)
+        except StopIteration:
+            print("Task done")
+
+
+def tcp_server(address, handler):
+    sock = socket(AF_INET, SOCK_STREAM)
+    sock.setsockopt(SOL_SOCKET, SO_REUSEADDR, 1)
+    sock.bind(address)
+    sock.listen(5)
+    while True:
+        yield "recv", sock
+        client, addr = sock.accept()
+        tasks.append(handler(client, addr))
+
+
+def echo_handler(client, address):
+    print("Connection from", address)
+    while True:
+        yield "recv", client
+        data = client.recv(1000)
+        if not data:
+            break
+        yield "send", client
+        client.send(b"GOT:" + data)
+    print("Connection closed")
+
+
+if __name__ == "__main__":
+    tasks.append(tcp_server(("", 25000), echo_handler))
+    run()
diff --git a/stock.py b/stock.py
new file mode 100644
index 00000000..b85b3025
--- /dev/null
+++ b/stock.py
@@ -0,0 +1,25 @@
+from structure import Structure
+
+import reader
+
+
+class Stock(Structure):
+    name = String()
+    shares = PositiveInteger()
+    price = PositiveFloat()
+
+    @property
+    def cost(self):
+        return self.shares * self.price
+
+    def sell(self, nshares):
+        self.shares -= nshares
+
+
+s = Stock("GOOG", 100, 490.1)
+s2 = Stock("GOOG", 100, 490.1)
+
+
+print(s == s2)
+print(list(s))
+print(tuple(s))
diff --git a/structure.py b/structure.py
new file mode 100644
index 00000000..78da16bf
--- /dev/null
+++ b/structure.py
@@ -0,0 +1,97 @@
+from validate import Validator, validated
+from collections import ChainMap
+
+
+class StructureMeta(type):
+    @classmethod
+    def __prepare__(meta, clsname, bases):
+        return ChainMap({}, Validator.validators)
+
+    @staticmethod
+    def __new__(meta, name, bases, methods):
+        methods = methods.maps[0]
+        return super().__new__(meta, name, bases, methods)
+
+
+class Structure(metaclass=StructureMeta):
+    _fields = ()
+    _types = ()
+
+    def __iter__(self):
+        for name in self._fields:
+            yield getattr(self, name)
+
+    def __eq__(self, other):
+        return isinstance(other, type(self)) and tuple(self) == tuple(other)
+
+    def __init__(self, *args):
+        if len(args) != len(self._fields):
+            raise TypeError("Expected %d arguments" % len(self._fields))
+        for name, arg in zip(self._fields, args):
+            setattr(self, name, arg)
+
+    def __repr__(self):
+        return "%s(%s)" % (
+            type(self).__name__,
+            ", ".join(repr(getattr(self, name)) for name in self._fields),
+        )
+
+    def __setattr__(self, name, value):
+        if name.startswith("_") or name in self._fields:
+            super().__setattr__(name, value)
+        else:
+            raise AttributeError("No attribute %s" % name)
+
+    @classmethod
+    def __init_subclass__(cls):
+        validate_attributes(cls)
+
+    @classmethod
+    def create_init(cls):
+        """
+        Create an __init__ method from _fields
+        """
+        args = ",".join(cls._fields)
+        code = "def __init__(self, {0}):\n".format(args)
+        statements = ["    self.{0} = {0}".format(name) for name in cls._fields]
+        code += "\n".join(statements)
+        locs = {}
+        exec(code, locs)
+        cls.__init__ = locs["__init__"]
+
+    @classmethod
+    def from_row(cls, row):
+        rowdata = [func(val) for func, val in zip(cls._types, row)]
+        return cls(*rowdata)
+
+
+def validate_attributes(cls):
+    """
+    Class decorator that scans a class definition for Validators
+    and builds a _fields variable that captures their definition order.
+    """
+    validators = []
+    for name, val in vars(cls).items():
+        if isinstance(val, Validator):
+            validators.append(val)
+        # Apply validated decorator to any callable with annotations
+        elif callable(val) and val.__annotations__:
+            setattr(cls, name, validated(val))
+
+    # Collect all the field names
+    cls._fields = tuple([v.name for v in validators])
+
+    # Collect type conversions. The lambda x:x is an identity
+    # function that's used in case no expected_type is found.
+    cls._types = tuple([getattr(v, "expected_type", lambda x: x) for v in validators])
+
+    # Create the __init__ method
+    if cls._fields:
+        cls.create_init()
+
+    return cls
+
+
+def typed_structure(clsname, **validators):
+    cls = type(clsname, (Structure,), validators)
+    return cls
diff --git a/tableformat.py b/tableformat.py
new file mode 100644
index 00000000..14b339ce
--- /dev/null
+++ b/tableformat.py
@@ -0,0 +1,204 @@
+from pprint import pprint
+from colored import Fore, Back, Style
+from abc import ABC, abstractmethod
+
+
+class ColumnFormatMixin:
+    formats = []
+
+    def row(self, rowdata):
+        rowdata = [(fmt % d) for fmt, d in zip(self.formats, rowdata)]
+        super().row(rowdata)
+
+
+class UpperHeadersMixin:
+    def headings(self, headers):
+        super().headings([h.upper() for h in headers])
+
+
+class TableFormatter(ABC):
+    def __init__(self):
+        self._width = 0
+        self._columns = 0
+        self._list_to_print = list()
+
+    @property
+    def width(self):
+        return self._width
+
+    @abstractmethod
+    def headings(self, headers):
+        raise NotImplementedError()
+
+    @abstractmethod
+    def row(self, rowdata):
+        raise NotImplementedError()
+
+    @staticmethod
+    def print_line(line=""):
+        print(line)
+
+    def print(self):
+        for line in self._list_to_print:
+            self.print_line(line)
+
+    def divider(self, separator="-", color="yellow"):
+        return (
+            getattr(Fore, color)
+            + Style.bold
+            + "|".join(f"{separator * self._width}" for _ in range(self._columns))
+            + Style.reset
+        )
+
+    def add_divider(self):
+        self._list_to_print.append(self.divider())
+
+
+def print_table(records, fields, formatter):
+    if not isinstance(formatter, TableFormatter):
+        raise TypeError(
+            f"Expected a TableFormatter, received ~{type(formatter).__name__})~"
+        )
+
+    formatter.headings(fields)
+
+    for r in records:
+        rowdata = [
+            r[fieldname] if type(r) == dict else getattr(r, fieldname)
+            for fieldname in fields
+        ]
+        formatter.row(rowdata)
+
+    formatter.print()
+
+
+class TextTableFormatter(TableFormatter):
+    def headings(self, headers):
+        self._columns = len(headers)
+        self._width = max(self._width, *[(len(h) + 9) // 10 * 10 for h in headers])
+
+        self.add_divider()
+
+        self._list_to_print.append(
+            Fore.white
+            + Back.deep_sky_blue_3a
+            + "x".join(f"{header:^{self._width}s}" for header in headers)
+            + Style.reset
+        )
+        self.add_divider()
+
+        for line in self._list_to_print:
+            self.print_line(line)
+
+    def row(self, rowdata):
+        self.print_line(
+            f"{Fore.yellow}|{Style.reset}".join(
+                f"{cell:^{self._width}}" for cell in rowdata
+            )
+        )
+
+    @staticmethod
+    def print_line(line=""):
+        print(
+            f"{Fore.yellow + Style.bold}|{Style.reset}{line}{Fore.yellow + Style.bold}|{Style.reset}"
+        )
+
+    def print(self):
+        self.add_divider()
+        pprint(self._list_to_print)
+        for line in self._list_to_print:
+            self.print_line(line)
+
+
+class CSVTableFormatter(TableFormatter):
+    def headings(self, headers):
+        width = max(self._width, *[(len(h) + 9) // 10 * 10 for h in headers])
+        self._width = width
+
+        self._list_to_print.append(",".join(header for header in headers))
+        self._list_to_print.append("")
+
+    def row(self, rowdata):
+        self._list_to_print.append(f"{','.join(f'{cell}' for cell in rowdata)}")
+
+
+def html_tag(tag, content, color="yellow", indent=0, new_line=True):
+    tag_style = getattr(Fore, color) + Style.bold
+
+    whitespace = "\n" if new_line else ""
+
+    indent_string = "\t" * indent if new_line else ""
+
+    tag_open = f"{whitespace}{indent_string}{tag_style}<{tag}>{Style.reset}"
+    tag_close = f"{tag_style}{whitespace}{indent_string}</{tag}>{Style.reset}"
+    return f"{tag_open}{content}{tag_close}"
+
+
+def tr(content):
+    return html_tag(tag="tr", content=content, indent=1)
+
+
+class HTMLTableFormatter(TableFormatter):
+    def headings(self, headers):
+        self._list_to_print.append(
+            tr(
+                content="\n\t\t"
+                + "".join(
+                    html_tag(
+                        tag="th",
+                        content=f"{Style.bold} {header} {Style.reset}",
+                        color="green",
+                        new_line=False,
+                    )
+                    for header in headers
+                ),
+            )
+        )
+
+    def row(self, rowdata):
+        self._list_to_print.append(
+            tr(
+                "\n\t\t"
+                + "".join(
+                    html_tag(tag="td", content=cell, new_line=False) for cell in rowdata
+                )
+            )
+        )
+
+    def print(self):
+        table_header = html_tag(tag="thead", content=self._list_to_print[0], indent=0)
+
+        table_body = html_tag(
+            tag="tbody",
+            indent=0,
+            content=f'{"".join(self._list_to_print[1:])}',
+        )
+        print(html_tag(tag="table", content=f"{table_header}{table_body}", indent=0))
+
+
+def create_formatter(name, column_formats=None, upper_headers=False):
+    if name == "text":
+        formatter_cls = TextTableFormatter
+    elif name == "csv":
+        formatter_cls = CSVTableFormatter
+    elif name == "html":
+        formatter_cls = HTMLTableFormatter
+    else:
+        raise RuntimeError("Unknown format %s" % name)
+
+    if column_formats:
+
+        class formatter_cls(ColumnFormatMixin, formatter_cls):
+            formats = column_formats
+
+    if upper_headers:
+
+        class formatter_cls(UpperHeadersMixin, formatter_cls):
+            pass
+
+    print(
+        f"\n{Fore.white}{Style.bold}{Back.dark_sea_green_4b}"
+        + f"\t\t{formatter_cls.__name__}\t\t"
+        + Style.reset
+    )
+    return formatter_cls()
diff --git a/teststock.py b/teststock.py
new file mode 100644
index 00000000..7546b7b2
--- /dev/null
+++ b/teststock.py
@@ -0,0 +1,84 @@
+import unittest
+from stock import Stock
+
+
+class TestStock(unittest.TestCase):
+    def test_create(self):
+        s = Stock("GOOG", 100, 490.1)
+        self.assertEqual(s.name, "GOOG")
+        self.assertEqual(s.shares, 100)
+        self.assertEqual(s.price, 490.1)
+
+    def test_create_keyword(self):
+        s = Stock(name="GOOG", shares=100, price=490.1)
+        self.assertEqual(s.name, "GOOG")
+        self.assertEqual(s.shares, 100)
+        self.assertEqual(s.price, 490.1)
+
+    # Test that the cost property returns a correct value
+    def test_cost_property(self):
+        s = Stock("GOOG", 100, 490.1)
+
+        self.assertEqual(s.cost, 49010)
+
+    # Test that the sell() method correctly updates the shares.
+    def test_sell(self):
+        s = Stock("GOOG", 100, 490.1)
+
+        s.sell(2)
+        self.assertEqual(s.shares, 98)
+        s.sell(20)
+        self.assertEqual(s.shares, 78)
+
+    # Test that the from_row() class method creates a new instance from good data.
+    def test_from_row(self):
+        row = Stock.from_row(["GOOG", "100", "490.1"])
+
+        self.assertEqual(repr(row), "Stock('GOOG', 100, 490.1)")
+
+    # Test that the __repr__() method creates a proper representation string.
+    def test_repr(self):
+        s = Stock("GOOG", 100, 490.1)
+
+        self.assertEqual(repr(s), "Stock('GOOG', 100, 490.1)")
+
+    # Test the comparison operator method __eq__()
+    def test_eq(self):
+        a = Stock("GOOG", 100, 490.1)
+        b = Stock("GOOG", 100, 490.1)
+        self.assertTrue(a == b)
+
+    def test_bad_shares(self):
+        s = Stock("GOOG", 100, 490.1)
+        with self.assertRaises(TypeError):
+            s.shares = "50"
+
+    # Tests for failure conditions
+    def test_shares_badtype(self):
+        s = Stock("GOOG", 100, 490.1)
+        with self.assertRaises(TypeError):
+            s.shares = "50"
+
+    def test_shares_badvalue(self):
+        s = Stock("GOOG", 100, 490.1)
+        with self.assertRaises(ValueError):
+            s.shares = -50
+
+    def test_price_badtype(self):
+        s = Stock("GOOG", 100, 490.1)
+        with self.assertRaises(TypeError):
+            s.price = "45.23"
+
+    def test_price_badvalue(self):
+        s = Stock("GOOG", 100, 490.1)
+        with self.assertRaises(ValueError):
+            s.price = -45.23
+
+    def test_bad_attribute(self):
+        s = Stock("GOOG", 100, 490.1)
+        with self.assertRaises(AttributeError):
+            s.share = 100
+
+
+if __name__ == "__main__":
+    unittest.main()
diff --git a/ticker.py b/ticker.py
new file mode 100644
index 00000000..c264f4d3
--- /dev/null
+++ b/ticker.py
@@ -0,0 +1,32 @@
+from pprint import pprint
+
+from structure import Structure
+
+
+class Ticker(Structure):
+    name = String()
+    price = Float()
+    date = String()
+    time = String()
+    change = Float()
+    open = Float()
+    high = Float()
+    low = Float()
+    volume = Integer()
+
+
+if __name__ == "__main__":
+    from follow import follow
+    import csv
+
+    from tableformat import create_formatter, print_table
+
+    formatter = create_formatter("text")
+
+    lines = follow("Data/stocklog.csv")
+    rows = csv.reader(lines)
+
+    records = (Ticker.from_row(row) for row in rows)
+    negative = (rec for rec in records if rec.change < 0)
+
+    print_table(negative, ["name", "price", "change"], formatter)
diff --git a/typedproperty.py b/typedproperty.py
new file mode 100644
index 00000000..9bb5785a
--- /dev/null
+++ b/typedproperty.py
@@ -0,0 +1,74 @@
+from collections.abc import Callable
+from pprint import pprint
+from typing import Any
+from functools import wraps
+from inspect import getsource, get_annotations
+
+
+def my_decorator(f):
+    @wraps(f)
+    def wrapper(*args, **kwds):
+        print(getsource(f))
+        print(get_annotations(f))
+
+        print(f"Calling decorated function {f.__str__()}")
+        for arg in args:
+            print(arg)
+
+        for arg in kwds:
+            print(arg)
+
+        return f(*args, **kwds)
+
+    return wrapper
+
+
+def typedproperty(
+    expected_type,
+):
+    private_name = f"_{__name__}"
+
+    @property
+    def value(self) -> expected_type:
+        # pprint(self)
+
+        return getattr(self, private_name)
+
+    @value.setter
+    def value(self, val):
+        if not isinstance(val, expected_type):
+            raise TypeError(f"Expected {expected_type}")
+
+        pprint(self)
+        # self.public_name = name
+        # self.private_name = "_" + name
+
+        setattr(self, private_name, val)
+
+    return value
+
+
+String = my_decorator(lambda: typedproperty(expected_type=str))
+
+
+# @my_decorator
+# def String():
+#     pprint(locals())
+#     return typedproperty(expected_type=str)
+
+
+Integer: Callable[[Any], property] = my_decorator(lambda: typedproperty(int))
+Float: Callable[[Any], property] = my_decorator(lambda: typedproperty(float))
+
+
+if __name__ == "__main__":
+
+    class Stock:
+        name = String()
+        shares = Integer()
+        price = Float()
+
+        def __init__(self, name, shares, price):
+            self.name = name
+            self.shares = shares
+            self.price = price
diff --git a/validate.py b/validate.py
new file mode 100644
index 00000000..bbc276b7
--- /dev/null
+++ b/validate.py
@@ -0,0 +1,158 @@
+from inspect import signature
+from functools import wraps
+
+
+class Validator:
+    # Collect all derived classes into a dict
+    validators = {}
+
+    def __init__(self, name=None):
+        self.name = name
+
+    def __set_name__(self, cls, name):
+        self.name = name
+
+    @classmethod
+    def check(cls, value):
+        return value
+
+    @classmethod
+    def __init_subclass__(cls):
+        cls.validators[cls.__name__] = cls
+
+    def __set__(self, instance, value):
+        instance.__dict__[self.name] = self.check(value)
+
+
+class Typed(Validator):
+    expected_type = object
+
+    @classmethod
+    def check(cls, value):
+        if not isinstance(value, cls.expected_type):
+            raise TypeError(f"Expected {cls.expected_type}")
+        return super().check(value)
+
+
+class Integer(Typed):
+    expected_type = int
+
+
+class Float(Typed):
+    expected_type = float
+
+
+class String(Typed):
+    expected_type = str
+
+
+class Positive(Validator):
+    @classmethod
+    def check(cls, value):
+        if value < 0:
+            raise ValueError("Expected >= 0")
+        return super().check(value)
+
+
+class NonEmpty(Validator):
+    @classmethod
+    def check(cls, value):
+        if len(value) == 0:
+            raise ValueError("Must be non-empty")
+        return super().check(value)
+
+
+class PositiveInteger(Integer, Positive):
+    pass
+
+
+class PositiveFloat(Float, Positive):
+    pass
+
+
+class NonEmptyString(String, NonEmpty):
+    pass
+
+
+def validated(func):
+    sig = signature(func)
+
+    # Gather the function annotations
+    annotations = dict(func.__annotations__)
+
+    # Get the return annotation (if any)
+    retcheck = annotations.pop("return", None)
+
+    @wraps(func)
+    def wrapper(*args, **kwargs):
+        bound = sig.bind(*args, *kwargs)
+        errors = []
+
+        # Enforce argument checks
+        for name, validator in annotations.items():
+            try:
+                validator.check(bound.arguments[name])
+            except Exception as e:
+                errors.append(f"    {name}: {e}")
+
+        if errors:
+            raise TypeError("Bad Arguments\n" + "\n".join(errors))
+
+        for name, val in annotations.items():
+            val.check(bound.arguments[name])
+
+        result = func(*args, **kwargs)
+
+        # Enforce return check (if any)
+        if retcheck:
+            try:
+                retcheck.check(result)
+            except Exception as e:
+                raise TypeError(f"Bad return: {e}") from None
+        return result
+
+    return wrapper
+
+
+def enforce(**annotations):
+    retcheck = annotations.pop("return_", None)
+
+    def decorate(func):
+        sig = signature(func)
+
+        @wraps(func)
+        def wrapper(*args, **kwargs):
+            bound = sig.bind(*args, **kwargs)
+            errors = []
+
+            # Enforce argument checks
+            for name, validator in annotations.items():
+                try:
+                    validator.check(bound.arguments[name])
+                except Exception as e:
+                    errors.append(f"    {name}: {e}")
+
+            if errors:
+                raise TypeError("Bad Arguments\n" + "\n".join(errors))
+
+            result = func(*args, **kwargs)
+
+            if retcheck:
+                try:
+                    retcheck.check(result)
+                except Exception as e:
+                    raise TypeError(f"Bad return: {e}") from None
+            return result
+
+        return wrapper
+
+    return decorate
+
+
+@enforce(x=Integer, y=Integer, return_=Integer)
+def add(x, y):
+    return x + y
+
+
+# print(add(2,3.0))
+# print(add('two',3.0))