[nfbcs] Preparing for coding interviews

[Andy B.]

Although I still have problems with math, forecasting, and stats books
because the narrator left out important facts, reads the formula wrong, or
says something like "Graph to the right, which will not be read." Someone
needs to get on these narators and tell them to do it right the first time.

-----Original Message-----
From: nfbcs [mailto:nfbcs-bounces at nfbnet.org] On Behalf Of David Tseng via
nfbcs
Sent: Monday, October 3, 2016 8:42 PM
To: NFB in Computer Science Mailing List <nfbcs at nfbnet.org>
Cc: David Tseng <davidct1209 at gmail.com>; Tracy Carcione
<carcione at access.net>
Subject: Re: [nfbcs] Preparing for coding interviews

The larger issue with Bookshare besides potential ocr errors, is the
representation of math and diagrams. Even if obtained direct from publisher,
much of that content type is still incorrect or missing entirely. That's why
Learning Ally is still around and an important tool for students.
On Mon, Oct 3, 2016 at 7:56 AM Tracy Carcione via nfbcs <nfbcs at nfbnet.org>
wrote:

> Just FYI, most Bookshare books now come direct from publishers, and 
> that's been true for technical computer books for a long time.  Any 
> errors in them are not the result of a volunteer's OCR.
> As a Bookshare proofreader myself, I notice plenty of errors in 
> published books that I would have fixed, but publishers' lack of 
> proofreading isn't something I can do anything about.
> Tracy
>
>
> > Hey Amanda,
> >
> > Firstly, congrats on graduating. Having gone through a CS 
> > undergraduate program at a large research university, I know how 
> > much of a challenge,
> in
> > the wrong ways, it can be.
> >
> > As for interview tips. I would suggest the following:
> > - read books from Learning Ally. Bookshare is great, but suffers 
> > from the same issues as all OCRed text. The errors, unfortunately, 
> > frequently happen for the most crucial parts of the content since 
> > mathematical notation breaks OCR engines...
> > - for problems, try top coder. There are plenty of other sites with 
> > a
> nice
> > writeups of problems including glassdoor, stackoverflow, etc. 
> > Cracking
> the
> > coding interview is great, but only one source.
> > - if you have more time (maybe for future interviews), watch online 
> > lectures. One particularly awesome course is MIT's undergrad algo 
> > course  which uses "Introduction to Algorithms" by CLRS (available 
> > on Learning Ally).
> > - learn to use linux. Just by using linux, you'll start depending on 
> > writing code to get your basic computing tasks and more accomplished.
> More
> > than anything else, linux usage encourages writing your own tools 
> > which
> in
> > turn increases your ability to handle a variety of technical 
> > interview questions.
> > - contribute to open source. Beyond the usual suspects like NVDA, 
> > Orca, Espeak, Brltty, Liblouis, and other accessibility tools, there 
> > are tons
> of
> > things out there on github and beyond. By learning how to build 
> > these tools and understanding how they're built, things like git, 
> > clang, make, ld,
> etc
> > become second nature. Furthermore, contributing patches to something 
> > you yourself use and care about and interacting with others that 
> > work on the same thing will make you infinitely more ready to tackle 
> > any potential employer's goals.
> > - practice with a mock interviewer in the same conditions you'll 
> > have
> > - ask your potential employer for accomedations. If it's online, ask 
> > for
> a
> > setup you are most comfortable with.
> >
> > In closing, there's plenty of stuff out there on interviewing. A 
> > quick search yields lots of good blogs and others experiences. Just 
> > keep at it and you'll figure out what works best for you. Let us know
how things go!
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>
>
>
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