Beta
Python Data Science Toolbox (Part 1)
Run the hidden code cell below to import the data used in this course.
# Import the course packages
import pandas as pd
from functools import reduce
# Import the dataset
tweets = pd.read_csv('datasets/tweets.csv')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 hereExplore 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_atcolumn. - Make sure to add error handling on the functions you've created!