Community Data Science Course (Spring 2015)/Day 6 Coding Challenges: Difference between revisions
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# Write a program to find out how many people a particular user follows? | # 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. | # 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) | |||
# 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. | ||
# How many users follow you but none of your followers? | # How many users follow you but none of your followers? |
Revision as of 04:18, 5 May 2015
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)
- Identify the follower you have that also follows the most of your followers.
- How many users follow you but none of your followers?
- Repeat these analyses for people you follow, rather than that follow you.
Topics and Trends
- Modify
twitter3.py
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')