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Exercise

1. Copy the code below into a jupyter notebook

   import matplotlib.pyplot as plt
   import pandas as pd
   import numpy as np
   import seaborn as sns

from scipy import stats

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Visualization Warmup

1. Copy the following code into a jupyter notebook named visualization_warmup.ipynb

   import matplotlib as mpl
   import matplotlib.pyplot as plt
   import pandas as pd
   import numpy as np

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Editing PDF Metadata on the command line in MacOS

1. Install exiftool

   brew install exiftool
   

2. View the current document metadata

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Keybase proof

I hereby claim:

• I am zgulde on github.
• I am zgulde (https://keybase.io/zgulde) on keybase.
• I have a public key ASBG6AXT8DVtMX4a6UGzZzAyWjs8o0A6xLxjShwmYR4x0Qo

To claim this, I am signing this object:

zgulde

zgulde

Publishing A Jupyter Notebook On Github Pages

In short:

1. Download the notebook as an html file
2. Make a repo on github with a specific name and push the html file to that repo

Walkthrough

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20 Python Data Structure Manipulation Exercises

The following questions reference the students data structure below. Write the python code to answer the following questions:

1. How many students are there?
2. How many students prefer light coffee? For each type of coffee roast?
3. How many types of each pet are there?
4. How many grades does each student have? Do they all have the same number of grades?

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Upgrading to Catalina

After you've upgraded your OS, open up a terminal and do the following:

1. Change your shell back to bash

   sudo chsh -s /bin/bash `whoami`