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Community Data Science Course (Spring 2015)/Day 6 Coding Challenges
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== Who are my followers? == # Write a program to find out how many people a particular user follows? # For each of your followers, find out how many followers they have. # Make a "famous ratio" for a given user which I'll define as '''number of followers a person has divided by number of people they follow.'' Try out @makoshark, and @pontifex (the Pope). Who is higher? # <strike>Identify the follower you have that also follows the most of your followers.</strike> # <strike>How many users follow you but none of your followers?</strike> # <strike>Repeat these analyses for people you follow, rather than that follow you.</strike> # Identify the "famous ratio" for every one of your followers or friends? Who has the highest one? == Topics and Trends == # Modify <code>twitter3.py</code> to produce a list of 1000 tweets about a topic of your choice. # Look at those tweets. How does twitter interpret a two word query like "data science" # Do the previous step but eliminate retweets [hint: look at the tweet object!] # 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 using Twitter. == Geolocation == # Alter the streaming code 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? # Set up a bounding box around TS and around NYC as a whole. # Do "static" (i.e., not using the streaming API) geolocation search using code like this: d = api.search(geocode='37.781157,-122.398720,1mi')
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