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Python Data Science Toolbox (Part 1)
Run the hidden code cell below to import the data used in this course.
Take Notes
Add notes about the concepts you've learned and code cells with code you want to keep.
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# Add your code snippets here
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 thecreated_at
column. - Make sure to add error handling on the functions you've created!