hw05.pdf - hw05 1 Homework 5 Functions and Iteration Reading Cross-Classifying by more than one variable Bike Sharing Randomness Please complete this

hw05.pdf - hw05 1 Homework 5 Functions and Iteration...

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hw05 February 27, 2019 1 Homework 5: Functions and Iteration Reading : * Cross-Classifying by more than one variable * Bike Sharing * Randomness Please complete this notebook by filling in the cells provided. Before you begin, execute the following cell to load the provided tests. Each time you start your server, you will need to execute this cell again to load the tests. Homework 5 is due Thursday, 2/28 at 11:59pm. You will receive an early submission bonus point if you turn in your final submission by Wednesday, 2/27 at 11:59pm. Start early so that you can come to office hours if you’re stuck. Check the website for the office hours schedule. Late work will not be accepted as per the policies of this course. Directly sharing answers is not okay, but discussing problems with the course staff or with other students is encouraged. Refer to the policies page to learn more about how to learn cooper- atively. For all problems that you must write our explanations and sentences for, you must pro- vide your answer in the designated space. Moreover, throughout this homework and all future ones, please be sure to not re-assign variables throughout the notebook! For example, if you use max_temperature in your answer to one question, do not reassign it later on. In [5]: # Don ' t change this cell; just run it. import numpy as np from datascience import * # These lines do some fancy plotting magic. import matplotlib % matplotlib inline import matplotlib.pyplot as plt plt . style . use( ' fivethirtyeight ' ) import warnings warnings . simplefilter( ' ignore ' , FutureWarning ) from client.api.notebook import Notebook ok = Notebook( ' hw05.ok ' ) ===================================================================== Assignment: Homework 5: Functions and Iteration OK, version v1.12.5 1
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===================================================================== Before continuing the assignment, select "Save and Checkpoint" in the File menu and then execute the submit cell below. The result will contain a link that you can use to check that your assignment has been submitted successfully. If you submit more than once before the deadline, we will only grade your final submission. If you mistakenly submit the wrong one, you can head to okpy.org and flag the correct version. There will be another submit cell at the end of the assignment when you finish!
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