Editing Community Data Science Workshops (Fall 2015)/Day 2 projects/Twitter
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python twitter1.py | python twitter1.py | ||
at the command prompt to execute the <code>twitter1.py</code> Python script. Wait a little while while your computer connects to Twitter. You should see a series of tweets run by your screen. If you don't, let a | at the command prompt to execute the <code>twitter1.py</code> Python script. Wait a little while while your computer connects to Twitter. You should see a series of tweets run by your screen. If you don't, let a staff member know. | ||
== Potential exercises == | == Potential exercises == | ||
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'''Who are my followers?''' | '''Who are my followers?''' | ||
# | # Use sample 2 to get your followers. | ||
# For each of your followers, get *their* followers (investigate time.sleep to throttle your computation) | # For each of your followers, get *their* followers (investigate time.sleep to throttle your computation) | ||
# Identify the follower you have that also follows the most of your followers. | # Identify the follower you have that also follows the most of your followers. | ||
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'''Topics and Trends''' | '''Topics and Trends''' | ||
# | # Use sample 3 to produce a list of 1000 tweets about a topic. | ||
# Look at those tweets. How does twitter interpret a two word query like "data science" | # Look at those tweets. How does twitter interpret a two word query like "data science" | ||
# Eliminate retweets [hint: look at the tweet object! | # Eliminate retweets [hint: look at the tweet object!] | ||
# For each tweet original tweet, list the number of times you see it retweeted. | # For each tweet original tweet, list the number of times you see it retweeted. | ||
# Get a list of the URLs that are associated with your topic. | # Get a list of the URLs that are associated with your topic. | ||
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'''Geolocation''' | '''Geolocation''' | ||
# Alter the streaming algorithm to include a "locations" filter. You need to use the order sw_lng, sw_lat, ne_lng, ne_lat for the four coordinates. | # Alter the streaming algorithm to include a "locations" filter. You need to use the order sw_lng, sw_lat, ne_lng, ne_lat for the four coordinates. | ||
# What are people tweeting about in Times Square today? (Bonus points: set up a bounding box around TS and around NYC as a whole.) | # What are people tweeting about in Times Square today? (Bonus points: set up a bounding box around TS and around NYC as a whole.) | ||
# Can you find words that are more likely to appear in TS? | # Can you find words that are more likely to appear in TS? |