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Python Data Science Toolbox (Part 1)

Run the hidden code cell below to import the data used in this course.

1 hidden cell

Take Notes

Add notes about the concepts you've learned and code cells with code you want to keep.

Add your notes here

# Add your code snippets here
def raise_val(n):
    """Return the inner function."""
    def inner(x):
        """Raise x to the power of n."""
        raised = x ** n
        return raised
    return inner
square=raise_val(2); cube=raise_val(3)
print(square(3)); print(cube(5))

Explore Datasets

Use the DataFrame imported in the first cell to explore the data and practice your skills!

  • Write a function that takes a timestamp (see column timestamp_ms) and returns the text of any tweet published at that timestamp. Additionally, make it so that users can pass column names as flexible arguments (*args) so that the function can print out any other columns users want to see.
  • In a filter() call, write a lambda function to return tweets created on a Tuesday. Tip: look at the first three characters of the created_at column.
  • Make sure to add error handling on the functions you've created!
x=5
x**=3
print(x)