I have gathered data through the Twitter Search as well as the Streaming API. I wanted to know how screen scraping data from Twitter (20 tweets at a time till the whole page is scrolled) differs from Search & Streaming API’s?

Search API only goes back 7 days, whereas scraping lets us go back quite a bit. Does scraping provide us all the data or is that also about 1% of the Firehose?

I have been trying to search for this information but have not been successful in finding anything.

Any help would be appreciated.

I need some book recommendations or other source recommendations on where to find a good book on the actual act of writing philosophy. I won’t be able to attend graduate school for philosophy unfortunately but I want to learn how to write on a better level on my own time. I know its no alternative to an actual education but its still nice to know what to improve. Also

  1. Are graduate level papers similar enough to undergraduate papers but just more detailed and specific with more sources and research done for evidence and argument?

  2. What writing skills are focused on more in graduate school?

If this question is not appropriate for this site lemme know and I’ll take it down. If you know what site would be better for it, leaving a comment mentioning it would be a huge help!

Hello I’m Ob/Gyn resident, I had few cases that I presented in conferences as an eposter.
From my understanding is that eposters are not considered publications, so can I submit these cases to journals?

Some journals specify as a requirement that the case submitted should not be published before on other journals or electronically, where does cases presented as eposter stand on this?

Thank you

Many of my peers in my program, Computer Engineering, are of the opinion that what you do in school is a “head-fake”, that you take all this intense math and science essentially to prove that you can accomplish difficult tasks quickly. A “real job” doesn’t actually use any of that junk except for a few select classes.

I suppose I understand that sentiment, but my issue is that after something like 20 years of math, Stockholm Syndrome has kicked in and I really enjoy it. I will miss it. I just finished one of the hardest classes at my University with an A because Fourier Transform just makes sense to me. Learning how to operate some software program is not the same as learning how to build a differential amplifier. Not all learning is equal. I have had two fantastic Co-Op (internship) rotations with some big name companies working on great projects, but the most intense math I used was division and that makes me sad. While my peers cannot wait to graduate and start their lives, it feels like it is the end of mine.

It seems that industry, for every 1 person actually producing something, there are 20 people doing documentation, management, talking to the customer, supply chain, etc etc. (edit: and I do not mean that in a derogatory manner, I am actually getting an MBA as well at the moment. I just mean that the one person who uses their academic knowledge is followed by a slew of people who do not use it).

So, the obvious answer is to go through a PhD and enter Academia but I do not think that is the right path for me considering I have no desire to teach and I also really enjoy making the money I do now. Putting my fiscal life on hold for another 4-5 years seems like quite a lot as I am already in debt.

My question then, is, how do I use what I learned in school while in industry? Or should I leave industry and pursue academia? Should I still go for a PhD but do industry research? How can I continue to learn while I am working in industry?

Apologies if this question is unclear, it’s very nebulous and if this gets removed or -1 I understand.