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'The #wildfires have consumed an area twice the size of Connecticut, and their smoke is reaching Seattle. Can't trust a corporation this deaf dumb and blind - PG&E tells court deferred #Maintenance did…", 'RT Current #climate extremes bulletin: #Arctic #wildfires & Greenland melt, #drought in Australia/NSW #flooding+#droug…', 'Lomakatsi crews join the firefight: \n\n#wildfires #smoke #firefighter\n\n',

['Expert insight on how #wildfires impact our environment: ', Begin by importing the necessary Python libraries. Once you have your Twitter app set-up, you are ready to access tweets in Python. A heat map of the distribution of tweets across the Denver / Boulder region. mobile or Google phone number) to Twitter to verify your use of the API. NOTE: you will need to provide a phone number that can receive text messages (e.g. TUTORIAL: How to setup a Twitter application using your Twitter account

To create your application, you can follow a useful tutorial from rtweet, which includes a section on Create an application that is not specific to R: Make sure you already have a Twitter account. Once you’ve done these things, you are ready to begin querying Twitter’s API to see what you can learn about tweets! Set up Twitter AppĪfter you have applied for Developer Access, you can create an application in Twitter that you can use to access tweets. Using your Twitter account, you will need to apply for Developer Access and then create an application that will generate the API credentials that you will use to access Twitter from Python.Set up a Twitter account if you don’t have one already.

To get started, you’ll need to do the following things: You will use the Twitter RESTful API to access data about both Twitter users and what they are tweeting about. In this lesson, you will explore analyzing social media data accessed from Twitter using Python.

You will need a computer with internet access to complete this lesson.