#100DaysOfCode in Python Transcripts
Chapter: Days 58-60: Twitter data analysis with Python
Lecture: Concepts: what did we learn

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0:00 Lets quickly summarize what we've learned so far
0:03 you can use Tweepy to interface with the Twitter API
0:07 always load API keys and secrets from your environment
0:11 and a way to do that is to use the os.environ.
0:14 Here's how you make a Tweepy API object, then
0:19 we can use that object to get our way to cursor
0:22 till you see we get all the tweets
0:24 from your timeline, then we did a top ten
0:25 of most popular tweets.
0:29 First we looked over all the tweets
0:33 and used sorted to get a written line down
0:35 to get the most popular tweets as defined by
0:38 an average of total likes and retweets per tweet
0:41 and voila.
0:43 I guess some marketing folks out there
0:46 will be interesting to know which tweets
0:47 are doing well, well you can and it's only
0:50 a few lines of code.
0:53 Next is most used hashtags and mentions.
0:56 What are we talking about the most,
0:57 so we define a couple of regular expressions
0:59 and put all the tweets in a big string
1:02 then we use find all in combination with calender
1:05 and we saw that before in the collections
1:07 and regex lessons.
1:08 To get to most common hashtags,
1:11 which were these, and similarly to get
1:15 the most mentioned Twitter handles,
1:17 which were those, very useful info.
1:20 Lastly, we made a Wordcloud of all the tweets
1:23 and we used the wordcloud module, we define
1:26 the mask which was our pilots logo,
1:30 added some stump words to get a better result
1:33 and constructed the word cloud object.
1:35 To get the Wordcloud to show in the notebook
1:38 we used a little bit of matte lot lip
1:42 and look at that, we got a word cloud
1:46 in the shape PyBites logo.
1:51 How cool is that right?
1:52 I mean visually its beautiful but
1:55 its also informative in that we really see
1:58 some words standing out.
2:00 Alright, with these practical examples
2:02 under your belt now its your turn
2:04 to go through, the practical exercises
2:07 we have lined up for you in Day 2 and 3.
2:09 Good luck.