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Online Bootcamp or Physical Classroom? Online Bootcamp or Physical Classroom?

04-01-2016 , 12:33 PM
Quote:
Originally Posted by Baltimore Jones
The disorganization is likely a result of this 2 week program being a new thing.
This - I wouldn't judge the whole program by this pre-bootcamp thing.
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04-01-2016 , 12:38 PM
i thought i'd done more of odin's ruby track. Looks like i stalled in the files and serialization section and went on to the rails portion. Since so much of codeeval relies on using files, probably be a good idea to get some experience in that, even if there are ways around that
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04-01-2016 , 01:23 PM
Quote:
Originally Posted by Baltimore Jones
Noodle, I'm bad with "advanced" math as well, but if you basically get what O(log n) is that's good enough. I honestly don't know what log or logarithmic means outside of the context of time complexity.

Some of the more complex algorithms may require a better understanding, but the array of basic algorithms and data structures don't.

Do you have access to the full AA curriculum or still just the public repos?
Not that it matters but logarithms are just the inverse function of exponentiation.

Given the equation b^x = y the logarithm of y in base b will be x and is usually written as:

log sub b y = x

If the base isn't given then it's assumed 10 is the base.

LN is the natural logarithmic function and always corresponds to a base of the mathematical constant e.

**The more you know**
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04-01-2016 , 01:30 PM
How do you know what O(log n) is, without knowing what log means? It's a genuine question, even though I guess it sounds a little accusatory
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04-01-2016 , 01:42 PM
CtCI does a real good job explaining it.

Also so does the Internet.

http://stackoverflow.com/questions/2...n-mean-exactly
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04-01-2016 , 02:25 PM
If you understand the explanations on that page, then I'd argue that you know what log() means.
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04-02-2016 , 01:26 AM
not to interrupt this riveting conversation...

the assessment was out of 19 points total, 18 was a passing grade (94%? wtf?)

average score was < half the passing grade, and the mode was 0. Woof.

I'm a little confused about this thing, though, because this first one, the harder of the two, is supposed to 'not count'. However, after passing the assessment, they said my application is under review and I should have an answer by wednesday, but not what the answer would be about.

:confused_bear:
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04-02-2016 , 02:22 AM
Most people got a ****ing 0?
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04-02-2016 , 02:36 AM
Quote:
Originally Posted by Baltimore Jones
Most people got a ****ing 0?
To be fair, if practically everyone in the class got different scores it would only take two morons for the class to have a mode of 0. Without more info, we can't read anything into a class having a failing score as the mode imo.
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04-02-2016 , 08:59 AM
100 people, 19 possible scores, average of 7 or 8, you do the math
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04-02-2016 , 04:40 PM
Quote:
Originally Posted by Baltimore Jones
Yea def doesn't seem like a good use of money. I also would avoid putting MOOCs like that on the resume unless you complete a lot, like to the point that you have half an online CS degree or more.
Never once spoke to someone who knew what a MOOC was. You can infer the value of paying for the cert from that.
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04-03-2016 , 02:33 AM
And from a practical standpoint, the single most important thing to understand about logarithmic functions is that they grow so ridiculously slowly. Like you can think of the most absurdly large input size ever and log of that is gonna be like 2-digit value with any reasonable base. This is probably the single worst understood thing about logarithmic functions as far as programmers are concerned - a lot of them tend to think that going from O(log n) to O(1) or O(n log n) to O(n) is a big difference - it's not. Similarly, because O(n log n) is between O(n^2) and O(n) so there's a tendency to think that these are like similar sized steps but again, no - going from O(n) to O(n log n) is not a huge deal at all but going from O(n log n) to O(n^2) is a complete and utter disaster if you have a large input.
Online Bootcamp or Physical Classroom? Quote
04-03-2016 , 03:43 AM
Quote:
Originally Posted by Baltimore Jones
Noodle, I'm bad with "advanced" math as well, but if you basically get what O(log n) is that's good enough. I honestly don't know what log or logarithmic means outside of the context of time complexity.

Some of the more complex algorithms may require a better understanding, but the array of basic algorithms and data structures don't.

Do you have access to the full AA curriculum or still just the public repos?
There is a week by week curriculum of their website.
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04-03-2016 , 03:15 PM
Good timing

I keep seeing people in the prep slack channel talking about being conditionally approved into the full program (don't think these are jump start people), but no one seems to know what that means.

Thoughts from our a/A grads?
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04-03-2016 , 06:38 PM
To be fair to the people who subscribed to this thread to follow the programming bootcamp discussion please take the log base discussion (or whatever it is I'm ignoring) to its own thread.
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04-03-2016 , 07:05 PM
Quote:
Originally Posted by Self Made
To be fair to the people who subscribed to this thread to follow the programming bootcamp discussion please take the log base discussion (or whatever it is I'm ignoring) to its own thread.
Perhaps the moderator can move the discussion on logarithms to a separate thread.
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04-03-2016 , 07:08 PM
/dev/null maybe
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04-03-2016 , 08:38 PM
Quote:
Originally Posted by RustyBrooks
/dev/null maybe
Anything is better than letting this discussion continue.
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04-03-2016 , 08:54 PM
I've moved many logarithm posts to a new thread: http://forumserver.twoplustwo.com/19...ssion-1601177/

Please use that thread for continued discussion on the subject if desired.
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04-03-2016 , 09:03 PM
And I was just about to link to the Ren and Stimpy log commercial.

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04-03-2016 , 09:42 PM
May the kind and benevolent lord xenu have mercy on your soul, dave
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04-03-2016 , 09:48 PM
Quote:
Originally Posted by Self Made
To be fair to the people who subscribed to this thread to follow the programming bootcamp discussion please take the log base discussion (or whatever it is I'm ignoring) to its own thread.
Quote:
Originally Posted by adios
Perhaps the moderator can move the discussion on logarithms to a separate thread.
Quote:
Originally Posted by RustyBrooks
/dev/null maybe
Quote:
Originally Posted by Noodle Wazlib
Anything is better than letting this discussion continue.
Quote:
Originally Posted by _dave_
I've moved many logarithm posts to a new thread: http://forumserver.twoplustwo.com/19...ssion-1601177/

Please use that thread for continued discussion on the subject if desired.
lol sorry guys, couldn't help myself
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04-03-2016 , 10:24 PM
Quote:
Originally Posted by candybar
And from a practical standpoint, the single most important thing to understand about logarithmic functions is that they grow so ridiculously slowly. Like you can think of the most absurdly large input size ever and log of that is gonna be like 2-digit value with any reasonable base. This is probably the single worst understood thing about logarithmic functions as far as programmers are concerned - a lot of them tend to think that going from O(log n) to O(1) or O(n log n) to O(n) is a big difference - it's not. Similarly, because O(n log n) is between O(n^2) and O(n) so there's a tendency to think that these are like similar sized steps but again, no - going from O(n) to O(n log n) is not a huge deal at all but going from O(n log n) to O(n^2) is a complete and utter disaster if you have a large input.
And really good job leaving this one here (actually somehow duplicating this one into both threads, didn't know that was possible) - I thought this was actually fairly important - thanks!
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04-03-2016 , 11:34 PM
Quote:
Originally Posted by candybar
And really good job leaving this one here (actually somehow duplicating this one into both threads, didn't know that was possible) - I thought this was actually fairly important - thanks!
Agreed. Thanks for leaving candy's most factually incorrect post here for posterity.
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04-04-2016 , 01:32 AM
Don't start
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