Editing Community Data Science Course (Spring 2015)/Day 6 Coding Challenges

== 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: Number of followers 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')