class: center, middle # Staff Lecture: Python + Twitter .copyright[ <a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a> ** [Pat Pannuto](http://patpannuto.com) / Slides by Stephanie Triesenberg ** ] --- # Announcements ## Fill out course evaluations! - we care a lot about what you think! - due Wednesday, 4/18 ## Today - staff lectures --- # Plan for Today -- ## Use Python to grab and analyze data on a specific hashtag from Twitter -- ### [tweepy](http://www.tweepy.org) ``` $ pip3 install tweepy ``` -- - created specifically to pull data from Twitter -- - no need to index into large dictionaries or format request URLs -- ### [matplotlib](https://matplotlib.org/2.2.2/index.html) ``` pip3 install matplotlib ``` -- - good for plotting data -- - "not the best out there, but easy to use" - Amrit --- class: center, middle # Let's get started! --- # Step 1: Starter Code -- ## Have the slides? Great! Starter code is [here](https://github.com/stevietriesenberg/eecs398-python-twitter). ## Don't have the slides? No problem! Go to [https://tinyurl.com/398-pyt](https://tinyurl.com/398-pyt) -- ### `bot.py` contains starter code for the Python program -- ### `secret.py` will hold your API keys and tokens - you want to keep your API keys secret, which is why they are placed in a separate file from your program. - if you choose to put your project on GitHub, DO NOT commit `secret.py` --- # Step 2: Generate Twitter API Keys and Tokens -- ## Go to [https://apps.twitter.com](https://apps.twitter.com) -- #### NOTE: You will need a Twitter account from this point on. -- - sign into Twitter, then click "Create New App" in the upper right -- - fill out the name, description, and website for your applicaiton. Check the "Developer Agreement" box and finish creating your app! -- - under the name of your application, find and click the "Keys and Access Tokens" tab --- # Step 2: Generate Twitter API Keys and Tokens -- ## Consumer Keys - located under Applicaiton Settings - copy and paste these keys into `secret.py` -- ## Access Tokens - scroll down and click "Authorize my Application" - located under "Your Access Token" - copy and paste these keys into `secret.py` --- # Why? -- class: center, middle ## Verification! --- # Step 3: Let's get coding! -- ### TODO: import libraries - `import tweepy` - `import matplotlib` - `from secret import *` --- # Step 4: Twitter -- ### TODO: create a new Twitter session - check out the tweepy documentation on [getting started](http://tweepy.readthedocs.io/en/v3.5.0/getting_started.html) - use keys/tokens from `secret.py` to create the session -- ### TODO: user input - ask the user (you) what hashtag to search --- # Step 4: Twitter -- ### TODO: search for hashtag - create new Tweet objects for each result - we only need the time each tweet was posted, but other data may be useful for debugging or other data analysis --- # Step 5: Let's graph it! -- ### TODO: graph timestamps from tweets in a histogram - check out the matplotlib documentation on [histograms](https://matplotlib.org/api/_as_gen/matplotlib.pyplot.hist.html#matplotlib.pyplot.hist) and [subplots](https://matplotlib.org/examples/pylab_examples/subplots_demo.html) - this is just one analysis you could do on Twitter data - try something on your own! --- class: center, middle ## Congratulations! ### You now know how to grab data from Twitter and display it in a meaningful way. .center[  ]