00:00 Hello and welcome back to the 100 Days of Python.

00:03 The next three days, I will be your guide,

00:05 teaching you how you can do

00:07 Twitter data analysis with Python.

00:09 First, we set up an application with the Twitter API.

00:12 Next, we set up a virtual environment and import

00:15 the Twitter key secret and access tokens.

00:18 Then, we dive straight in using the cursor object

00:21 of the tweepy module to get all our tweets.

00:24 Then we show our most popular tweets

00:26 based on an average of the number of likes and retweets.

00:29 Then we look at the top hashtags and mentions,

00:32 and finally, we feed all our tweets into an awesome module

00:36 called Wordcloud, which makes a nice visual representation

00:40 of our Twitter usage.

00:42 And the second and third day, I got a lot of

00:44 interesting projects lined up to solidify

00:47 your newly gained Twitter data analysis skills.

00:50 This will be a lot of fun

00:52 and I'm exciting to teach you this.

00:54 See you in the next video.