Collecting and alayzing 10.000 * 100 tweets takes 30 seconds!

[fatiharaci]

This is due to limit of 100 tweets per request of twitter API. It is not much but it could be enhanced due to user satisfaction.

[fatiharaci]

after using better sorting algorithm this time reduced to 14 seconds:

        sorted_tweets = sorted(parsed_tweets2, key=lambda x: parsed_tweets2[x]['count'], reverse=True)

        for i in range(0, tnum):
            if (top_songs_count > len(top_songs_array)):
                top_song = parsed_tweets2[sorted_tweets[i]]['text']
                if top_song not in top_songs_array:
                    top_songs_array.append(parsed_tweets2[sorted_tweets[i]]['text'])
                    index_array.append(sorted_tweets[i])

[fatiharaci]

This problem is solved by adding waiting button to the design