Chapter 01: The Python Data Science Stack

Activity 1: IPython and Jupyter

1. Open the python_script_student.py file in a text editor, copy the contents to a notebook in IPython, and execute the operations.

2. Copy and paste the code from the Python script into a Jupyter notebook:

   import numpy as np
   
   def square_plus(x, c):
       return np.power(x, 2) + c

3. Now, update the values of the x and c variables. Then, change the definition of the function:

   x = 10
   c = 100
   
   result = square_plus(x, c)
   print(result)

   The output is as follows:

   200

Activity 2: Working with Data Problems

1. Import pandas and NumPy library:

   import pandas as pd
   import numpy as np

2. Read the RadNet dataset from the U.S. Environmental Protection Agency, available from the Socrata project:

   url = "https://opendata.socrata.com/api/views/cf4r-dfwe/rows.csv?accessType=DOWNLOAD"
   df = pd.read_csv(url)

3. Create a list with numeric columns for radionuclides in the RadNet dataset:

   columns = df.columns
   id_cols = ['State', 'Location', "Date Posted", 'Date Collected'...