neilkod

As both a heavy phabricator user AND a graphviz lover, your comment got me quite excited....up until the part where it was removed :(

>>never really considered myself good enough to pursue it though

Self-doubt is an evil, evil thing. Don't let it hold you back. I landed an opportunity to interview at $REDACTEDBUTITSATOPINTERNETPROPERTY. I didn't even want to fly out for the interview - I thought it would be a waste of time. It took lots and lots of convincing by my wife and other friends and family just for me to go out and interview. I guess you can see where this is headed - I start there in 2 weeks.

tl;dr self-doubt is evil.

loved tcfast.com - I'd like to see it back online as well

That looks like TOC for "Machine Learning for Email", which is just a portion of the entire "Machine Learning for Hackers" book. The full "Machine Learning for Hackers" doesn't appear to be on Safari yet.

for whatever reason, there is a HUGE demand for etl and bi developers here in FL. Data Warehousing is evidently strong in these parts. You wouldn't know this from reading blogs/twitter/etc but there is quite a bit going on here.

Thanks, I'm going to update the code and re-run the numbers.

You are all 100% correct about the regex. Before converting the product-identifying matching code to Python, I did it in bash using grep -iw to match whole words.

for i in newton macintosh macbook ibook iie mac iphone ipod imac ipad II+ iigs LaserWriter osx 'apple ?tv' itunes '\]\[' imovie do stevejobs_tribute.txt |wc -l`" echo "$i: `egrep -wi "${i}s?" $INPUTFILE|wc -l`" done

But this was difficult to maintain. I wanted the ability to print a 'friendly' looking product name (the dict's key) and maintain the counts in a variable.

When I made the move from bash to python, I knew that there would be some overlap when I pushed this code (in the name of shipping!). I need to split the sentences into proper tokens and then check each token for a product match. I'm already splitting the sentence into tokens for part-of-speech tagging so it shouldn't be difficult to do.

tl;dr known issue on the Mac regex, I needed to publish it and get back to work!

So true. Delicious would always be my go-to place for anything I ever wanted to know about Oracle. For years I'd search delicious before even searching google or metalink. It's a shame that this is being closed.

How are you managing your twitter API rate limits? Have you been whitelisted?