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google.com/humans.txt

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Re: google.com/humans.txt

#41
post #2

what is the point of this?

Two reasons: 1. You'll come across it and apply for a job at Google. 2. You'll have a positive interaction with the Google brand. A big part of this: it's something people want to share. Without that element, it would only ever be seen by a few dozen people.

Without a single name listed, Google is doing it wrong.

So for me this is a negative reflection of the Google brand.

Re: google.com/humans.txt

#43
post #39

i was cofounder at a startup a long time ago, and wrote most of the backend code. i put a humans.txt in there, and updated it every time we had a new employee. then the CEO fired all the best engineers, and I decided to leave shortly after because sometimes in life you gotta let go. the company is still (miraculously) around these days, although all of the original engineers are long gone. the humans.txt is still acc…

I think that the fact they haven't found it is a statement about the new team as well and what their priorities are... Or aren't

Re: google.com/humans.txt

#44
post #39

i was cofounder at a startup a long time ago, and wrote most of the backend code. i put a humans.txt in there, and updated it every time we had a new employee. then the CEO fired all the best engineers, and I decided to leave shortly after because sometimes in life you gotta let go. the company is still (miraculously) around these days, although all of the original engineers are long gone. the humans.txt is still acc…

"Legacy Code"

Re: google.com/humans.txt

#49
post #38

Earlier quoted context omitted.

google.txt: don't be evil.

Funny, that was deleted years ago, now returns: "404: File not found."

I'd love to see more companies with an evil canary cartoon image file. Perhaps when violated, canary.png could direct to a cartoon unicorn sheepishly grinning with one stuffed cheek.

Re: google.com/humans.txt

#50
post #34

Earlier quoted context omitted.

The best meritocratic way (i.e. not dependent on your CV too much) to get invited to an interview with Google is to be top 1000 in Google Code Jam. Study algorithms a lot, practice on CodeForces and TopCoder. If you work hard on it, in some year you will be on top of Google Code Jam. Recommendations is good to have but it won't help you to be successful on the interview. Practice algorithms a lot, ... I mean literall…

Do you have any suggestions how to practice algorithms?

After many failed approaches, I came with conclusion that the best way to practice algorithms (and math) is to trying to solve some problem which you can not solve and getting stuck, after you tired and failed to solve a problem, you can read answer how to solve a problem.

This will help your brain to remember particular method/algorithm/concept because your brain will think that this is very important problem, a sort of missing puzzle for your brain.

If you just passively read book about algorithms, you will have false feeling that you learn quickly but you will forget everything very soon and not being able to reconstruct any of algorithms you learned so far.

If you participate in algorithm contests, you will struggle a lot and after contest you will read editorials and may be redirected to CLRS or Knuth books.

Your learning curve will grow very slowly but believe me you will get very solid knowledge which won't be forgotten for a long time.

P.S. I practised a lot of passive learning by reading algorithms books. I forgot almost everything. Now, I'm switched to learning though competitions. It's hard way but very solid.

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