00:01 Next up are common hashtags and mentions.

00:04 I mean, we tweet out a lot of stuff,

00:05 but what is the hashtag that we mention the most?

00:09 Let's define two regular expressions,

00:11 one for hashtag and one for mention.

00:14 And we covered regex more extensively in Day 28,

00:17 so you should be familiar with this syntax.

00:20 Then, I'm going to join all the tweets together

00:23 in one big string.

00:26 And if the mentions can be skewed

00:29 by having retweets in them, I'm going to define

00:31 another string with all the tweets excluding retweets.

00:39 Next, I'm going to use the find_all method,

00:41 which we also covered in Day 28, to get

00:44 all the hashtags.

00:49 Cool.

00:50 Then we can use the calendar, which we covered in Day 4,

00:53 in the collections module, to see the most common hashtags.

00:58 Look at that. Obviously we tweet a lot of about Python,

01:01 but also 100 Days of Code. And web frameworks like Django

01:05 and Flask. Oh yeah, Python and 100 Days of Code.

01:10 Let's look at the mentions.

01:15 Look at that.

01:16 Yeah, we really like the work @python_tip is doing

01:19 by tweeting out every day a Python tip or trick.

01:22 @PacktPub, we tweet out the new free e-book every day,

01:26 which is awesome. And of course, @TalkPython,

01:29 we really like the show and

01:31 all the stuff they put out there.

01:32 Then Bader, @RealPython, they have excellent articles,

01:34 etc. So this makes a lot of sense, and it's nice

01:38 to see this in numbers. Although the results are

01:41 definitely correct, I just want to show you how

01:45 the results are if I exclude the retweets.

01:47 So I can just copy this code,

01:52 and instead of "all tweets",

01:54 I'm going to call it on, "all tweets excluding retweets".

02:01 Yeah, that's more or less the same, but there are

02:04 some other users here that bubble up to the top.

02:08 So next up, you're going to make a Wordcloud of

02:10 all our tweets. And it's going to be awesome.