This Python source code for Twitter API is based on "Mining the Social Web (2nd Edition)", and supplies code samples for authorizing application access, retrieving trends, displaying API responses as pretty-printed JSON, computing intersections of two set trends, collecting search results, extracting text, screen names, and hashtags from tweets, creating frequency distributions from words in tweets, using prettytable to display tuples in tabular format, calculation of lexical diversity, finding popular retweets, looking up authors of retweets, plotting frequencies of words, generating histograms of words, screen names, and hashtags, and generating histograms of retweets counts.
Twitter recently announced what developers have been expecting since at least its Chirp conference. Links posted to Twitter will soon be passed through the company's own link shortener, t.co. It could be bad news for other services built to fill the link shortening need, such as Bit.ly (our Bit.ly API profile).
Twitter feed, Facebook feed, Linkedin feed. Fed up yet? Nexalogy NX has come to the rescue, at least to help out with organizing your Twitter feed. You sign in through Twitter to access Nexame, which will show you, within your network, the most important trends, people and ideas. It's such simple yet powerful idea that it makes you wonder, why didn't Twitter think of this? Here's a chart that's worth a thousand words. It shows the top 10 concencepts being discussed in your network. As you can imagine, there is also a top 10 hashtags chart, an interest map of the major themes in your discussions, and more.