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Commit472901e

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‎Module8/README.md

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#Module 8
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Reminder:
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- Class is completely online next week.
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- Wednesday office hours are online next week.
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- Office hours for Sunday, March 12th moved to Monday, March 13th at 8pm
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##[Review Homework 7](https://github.com/summerela/intro_programming_python/blob/master/Module8/hw7_answer.py)
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##[Install Jupyter Notebook](https://github.com/summerela/intro_programming_python/blob/master/Module8/1_install_jupyter.ipynb)
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##[Working with Jupyter Notebook: Interactive Python Notebooks](https://github.com/summerela/intro_programming_python/blob/master/Module8/2_using_jupyter.ipynb)

‎Module9/Lab1.md

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#Module 9 Lab 1
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Classes are just different ways to organize the variables and functions you've already been writing.
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Think about them as containers for variables that the internal class functions should only be able to change
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##Instructions:
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0. Let's walk through`lab1.py` together and play with these two classes. We'll highlight some of things below that Summer was talking about in her lecture:
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0. How to instantiate a class
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0.`__init__`. When it runs. What goes in it.
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0.`self`. What is it. What does it refer to
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0. How to call functions on an instance.
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0. Special functions in a class that you can "override" or use:`__str__`,`__repr__`,`__dict__`

‎Module9/Lab2.md

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#Module 9 Lab 2
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We lover iris flowers in this class. Let's return to the[iris.csv](https://github.com/summerela/intro_programming_python/blob/master/Module6/iris.csv) dataset in this lab and try to write our simple statistics
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inside classes.
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##Instructions:
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0. Copy`lab2.py` to your workspace
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0. Look for`TODO1` in the code. Can you finish writing this function without accessing any variables outside of the`IrisStats` class?
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0. Look for`TODO2` in the code. Can you finish writing this function without accessing any variables outside of the`IrisStats` class?
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0. The final TODO is a little harder to explain. The idea is that we don't want to read the csv for every statistical function we write because it's repetative. There should be multiple ways to refactor the code to read the file once and cache the`self.iris_data` read from the csv. This can be done in the`IrisReader` or`IrisStats` class. So you have options.

‎Module9/README.md

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[Lab1](Lab1.md)
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[Lab2](Lab2.md)

‎Module9/lab1.py

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# -*- coding: utf-8 -*-
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classCounter:
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def__init__(self,start_value=0):
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# counter always has to start at 0
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ifstart_value>0:
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self._count=start_value
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else:
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self._count=0
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defincrement(self):
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self._count+=1
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returnself._count
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defdecrement(self):
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# counter cannot go below 0
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ifself._count-1<0:
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self._count=0
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else:
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self._count-=1
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returnself._count
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classNamer:
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def__init__(self,name,age):
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self._name=name
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self._age=age
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def__str__(self):
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return"[ {} ]: name={} age={}".format(
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self.__class__,
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self._name,
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self._age,
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)
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defsay_my_name(self):
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# NOTE: this calls the __str__ override method
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print(self)
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defcountdown(self):
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age_counter=Counter(start_value=self._age)
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next_age=age_counter._count
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whilenext_age>0:
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print(next_age)
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next_age=age_counter.decrement()
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print("[ DONE ]")
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defshow_me_my_data_guts(self):
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#
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# A Python class is just a fancy wrapper
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# around a dictionary. It has special ways to access
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# the dictionary internally from the class. So we can
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# do things such as this to get an internal view of the class
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#
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return"{}".format(self.__dict__)

‎Module9/lab2.py

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# -*- coding: utf-8 -*-
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importcsv
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classIrisReader:
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"""
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A kinda-sorta rule of thumb is that if you see a Python class
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with a single function and an initializer
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then it probably shouldn't be a class at all.
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Ignore that in this case
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"""
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def__init__(self,file_path):
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self.file_path=file_path
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defopen(self):
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try:
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f=open(self.file_path)
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my_file_data=csv.reader(f)
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returnmy_file_data
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exceptIOError:
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print("File not found\n")
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returnNone
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classIrisStats:
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def__init__(self,file_path):
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self.sepal_length_column=0
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self.petal_length_column=2
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self.iris_data=None# this is set in each stats function
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defget_avg_petal_length(self):
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# TODO1: finish this function
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self.iris_data=IrisReader(file_path).open()
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ifself.iris_dataisnotNone:
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pass
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defget_avg_sepal_length_per_class(self):
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# TODO2: finish this function
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self.iris_data=IrisReader(file_path).open()
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ifself.iris_dataisnotNone:
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pass
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importsys
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iris_stats=IrisStats(sys.argv[1])
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print(iris_stats.get_avg_petal_length())

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