Editing Community Data Science Course (Spring 2015)/Day 6 Project
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In this project, we will explore a few ways to gather data using the Twitter API. Once we've done that done, we will extend this to code to create our own datasets of tweets that we might be able to use to ask and answer questions in the final session. | In this project, we will explore a few ways to gather data using the Twitter API. Once we've done that done, we will extend this to code to create our own datasets of tweets that we might be able to use to ask and answer questions in the final session. | ||
== Goals == | === Goals === | ||
* Get set up to build datasets with the Twitter API | * Get set up to build datasets with the Twitter API | ||
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* Create a few collections of Tweets you can do research with in the final section | * Create a few collections of Tweets you can do research with in the final section | ||
== Download and test the Twitter project == | === Download and test the Twitter project === | ||
# Right click the following file, click "Save Target as..." or "Save link as...", and save it to your Desktop directory: http://mako.cc/teaching/2015/community_data_science/twitter-api-cdsw.zip | # Right click the following file, click "Save Target as..." or "Save link as...", and save it to your Desktop directory: http://mako.cc/teaching/2015/community_data_science/twitter-api-cdsw.zip | ||
# Unpack the zip file as we have in previous projects. | # Unpack the zip file as we have in previous projects. | ||
==Enter your API information== | |||
* Start your text editor and navigate to the directory that contains Twitter API. | * Start your text editor and navigate to the directory that contains Twitter API. | ||
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Once you have done this, your example programs are set up to use the Twitter API! | Once you have done this, your example programs are set up to use the Twitter API! | ||
==Test the Twitter API code== | |||
Start up | Start up PowerShell and navigate to the Desktop\twitter-data-examples directory where the Twitter API code lives. For example, if the Twitter API project is at <code>C:\Users\'''YOURUSERNAME'''\Desktop\twitter-data-examples</code>, | ||
One of the files is "<code>twitter1.py</code>", which has a "<code>.py</code>" extension indicating that it is a Python script. Type: | cd C:\Users\'''YOURUSERNAME'''\Desktop\twitter-data-examples | ||
will change you into that directory, and | |||
ls | |||
will show you the source code files in that directory. One of the files is "<code>twitter1.py</code>", which has a "<code>.py</code>" extension indicating that it is a Python script. Type: | |||
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 member | 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. | ||
==Success!== | ==Success!== | ||
