I just read between the lines in the article that he must have gotten something like that since he said in the article that when he dropped out to be a poet he knew he would not have to attend college in two years.
Looking into it, I think they actually translate their version of it as GED too:
I haven't read the article yet but the moment I saw the writer is "Jordana Cepelewicz" I knew it is going to be great! I have read few of her past articles and they were excellent think pieces.
I have been programming in C professionally for the past ~4 years on a multi-threaded application in the ads industry and that is central to the business. C has lot of documented "foot-guns" but most of it (if not all of it) can be safeguarded against mis-use using "support structures" around the codebase like having standard code style (enforced via tools as much as possible), static code analysis (via compiler and external code scanning tools), dynamic code analysis (via Asan, Ubsan etc), having small, medium and large tests with right amount of code coverage etc. In addition to that, having a standard set of libraries (c modules for high performance data-structures/algorithms, macro based templates to work with types) and threading model goes a long way in reducing the pain to a very bare minimum. On the plus side, you enjoy a "simpler" language syntax that is easy to learn and with the above “support structures” one can become productive in no time. Plus there are newer books in the market that can teach you C properly, one I have read and recommend is "Effective C by Robert C. Seacord" - the author is one of the C standards committee members so you can't go wrong with the choice.
I do not know what the previous poster has meant to say, but polynomials can be defined in a more abstract way as just elements of certain vector spaces on which an additional operation of multiplication between polynomials is defined, which obeys special rules (the "carry-less multiplication", which is implemented in hardware by most modern CPUs, is an example of polynomial multiplication).
In computers there are many applications of such abstract polynomials, e.g. for error detecting or correcting codes, pseudo-random number generation, authenticated encryption and others, which depend only on the rules for addition, internal multiplication and multiplication with scalars, and which have nothing to do with the polynomial functions associated with the polynomials.
Ingress can also be costly especially if there is a steady state of high load traffic sent from on-prem machines to machines inside cloud (not sure about aws but have experienced this with azure where we had to resort to buy their expressroute which was very costly and ultimately unsustainable for us)
reply