Code Challenge 04 - Twitter data analysis Part 1: get the data

Posted by PyBites on Mon 30 January 2017 in Challenges

This week, each one of you has a homework assignment ... - Tyler Durden (Fight club)

Write a class to retrieve tweets from the Twitter API

In this 3 part challenge you will analyze Twitter Data. This week we will automate the retrieval of data. In Part 2 we will task you with finding similar tweeters, and for Part 3 you will do a full sentiment analysis.

Get ready

Start coding by forking our challenges repo:

$ git clone

If you already forked it sync it:

# assuming using ssh key
$ git remote add upstream 
$ git fetch upstream
# if not on master: 
$ git checkout master 
$ git merge upstream/master

Setup virtual environment and install requirements

$ cd 04
$ python3 -m venv venv
# = py3 (might need virtualenv for py2 env)

$ source venv/bin/activate 
# install tweepy (and its depencencies)
$ pip install -r requirements.txt

# if you want to use another package like twython, feel free to do so

# get your API keys from Twitter - 
$ cp
# paste the keys in

# choose a template
$ cp
# or 
$ cp
# code

The challenge

  • Define a class called UserTweets that takes a Twitter handle / user in its constructor. it also receives an optional max_id parameter to start from a particular tweet id.
  • Create a tweepy API object using the tokens imported from (again, you can use another package if you prefer).

  • Create an instance variable to hold the last 100 tweets of the user.

  • Implement len() and getitem() magic (dunder) methods to make the UserTweets object iterable.

  • Save the generated data as CSV in the data subdirectory: data/some_handle.csv, columns: id_str,created_at,text



For developers that like to work towards tests we included

$ python
Ran 3 tests in 0.001s


Example output

We used a namedtuple here, this is not required. Also note the tweets can differ, yet in the unittests we test a fix set (using the optional max_id parameter in the constructor):

$ python
>>> from usertweets import UserTweets
>>> pybites = UserTweets('pybites')
>>> len(pybites)
>>> pybites[0]
Tweet(id_str='825629570992726017', created_at=datetime.datetime(2017, 1, 29, 9, 0, 3), text='Twitter digest 2017 week 04 #python')
>>> ^D
(venv) [bbelderb@macbook 04 (master)]$ ls -lrth data/
-rw-r--r--  1 bbelderb  staff    14K Jan 29 21:49 pybites.csv
(venv) [bbelderb@macbook 04 (master)]$ head -3 data/pybites.csv
825629570992726017,2017-01-29 09:00:03,Twitter digest 2017 week 04 #python
825267189162733569,2017-01-28 09:00:05,Code Challenge 03 - PyBites blog tag analysis - Review #python

Good luck!

Remember: there is no best solution, only learning more and better Python.

Enjoy and we're looking forward reviewing on Friday all the cool / creative / Pythonic stuff you come up with.

Have fun!

Again to start coding fork our challenges repo or sync it.

About PyBites Code Challenges

More background in our first challenge article.

>>> next(PyBites)

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