sloria

Done!

I've added a gif to the docs and the README.

Author here. Must give credit where it's due:

These patterns come from a talk by Vladimir Keleshev, author of docopt and excellent Pythonista. These are NOT my original work.

"Any time you catch yourself saying, “Well look at how X big company does it.” or “Well X big company tried that and it didn’t work for them,” please smack yourself in the face."

THANK YOU THANK YOU THANK YOU.

This is an extension to the Python programming language that makes it easier to analyze and manipulate text.

For example, an analyst might use sentiment analysis to see whether Facebook posts about a product are "positive" or "negative" in tone.

As another example, I hacked together this online sentiment analyzer using TextBlob: https://textfeel.herokuapp.com/

See also: NLP (Wikipedia): https://en.wikipedia.org/wiki/Natural_language_processing NLTK (a python library for NLP): http://nltk.org/ Twitter opinion mining using pattern: http://www.clips.ua.ac.be/pages/pattern-examples-elections

Link was in the README: https://github.com/sloria/datasources/blob/master/scripts/ru...

More info here: https://github.com/sloria/python-subreddit-stats. Not much to it--the script uses BeautifulSoup to scrape user count, and an Openshift app runs the script hourly as a cronjob.

Thanks. It is this: https://github.com/holman/left with just a few modifications.

I have collected my favorite quotes and talking points from this piece, Michael Church's "Don’t waste your time in crappy startup jobs", and Aza Raskin's "Psychological Pitfalls And Lessons of A Designer-Founder".

Here: http://www.stevenloria.com/disillusionment-in-startups-colle...

I intend to add to this list of quotes, and I also welcome others to email me related bits of wisdom.