Practicing-programming - steveyegge2. Back in October I wrote an essay in which I compared programming to other professions.
In it, I made the unsubstantiated claim that programming is unusual, in that most programmers don't practice their craft -- at least, not in any disciplined or regular way. Those are, of course, fightin' words, so I figured I'd write a bit more about it. This essay is a sort of mini-manual about practicing to be a better programmer. What exactly does it mean to practice becoming a better programmer? Well, of course the boring dictionary definition is: "To do or perform something repeatedly in order to acquire or polish a skill. " If you're still awake after that mind-numbing paragraph, then I think you're ready to give it a try! Incidentally, I toyed with the idea of coining a new word for "study and practice", like I did with servware.
Contrary to what you might believe, merely doing your job every day doesn't qualify as real practice. Smarts vs. We hire for smarts and for skills. OK, got it. Slightly skeptical) Open Source Software Educational Society. You're crap and paid too much for the little work you actually do. 3 Big data security analytics techniques you can apply now to catch advanced persistent threats You’re not getting paid as well as you should.
I know this not only because you’re bothering to read this, but also because most techies are crap at extracting cash from their employers. It shouldn’t shock you too much to learn that I, as a City headhunter and former contractor, focus quite hard on money - so here's a few ideas that will help you even in tough times. Continuous Visible Productivity The first thing you get wrong is spending too much time on things no one sees. Plan your work in terms of things other people can see; forget agile dependency modelling, GANTT, etcetera and prioritise with respect to how many useful people see the result. The joy of CVP is that its cynicism is so pure you can openly share it with your boss – he is under constant attack for the cost of IT which to “the business” seems so rarely to actually produce anything. Contributions Appearing in the Book.
C/C++ Self-Sufficient Headers. Resources - What is the single most influential book every programmer should read. About Coders (new version!) University lectures computer science. Whether your goal is to earn a promotion, graduate at the top of your class, or just accelerate your life, lectures can help get you there.
Our archives of lectures cover a huge range of topics and have all been handpicked and carefully designed by experienced instructors throughout the world who are dedicated to helping you take the next step toward meeting your career goals. Lifelong learns can turn their free time turn into self-improvement time. The online lectures on this list are more than lecture notes or a slideshow on a topic -- they were designed for audiences like you, with carefully sequenced themes and topics taught by veteran educators, and often with additional resources for your own independent study.
The lectures are available to anybody, completely free of charge. Lecture courses are a valid and vital learning tool, and may be one of the best methods of learning available. Wykłady PW struktury danych, grafy, algorytmy. Najbardziej znanym i rozpowszechnionym algorytmem wyszukiwania najkrótszych ścieżek w grafie z jednym źródłem jest algorytm Dijkstry.
Został on opracowany w roku 1959r. przez jednego z najsłynniejszych pionierów informatyki - zajrzyjcie od razu do Wikipedii. Algorytm Dijkstry wyznacza najkrótsze ścieżki z jednego wybranego węzła (źródła) do pozostałych węzłów grafu. Bardzo ważnym warunkiem koniecznym do poprawnego działania tego algorytmu jest to, by wszystkie krawędzie grafu posiadały nieujemne wagi. W naszych rozważaniach będziemy zajmowali się grafami spójnym i nieskierowanymi, jednakże metoda Dijkstry działa również dla skierowanych grafów (które są tak naprawdę nadzbiorem grafów nieskierowanych).
The demise of the low level Programmer. « #AltDevBlogADay. When I started programming many of the elements we take for granted now, did not exist. There was no DirectX and not many compatible libs were available for the free compilers of the day. So I had to write my own code for most basic programs, keyboard handlers, mouse handlers, video memory accessors, rasterizers, texture mappers, blitters… the programs I wrote then were 100% my own code and I had to be able to handle anything and everything. Personally I’ve always been interested in what was going on under the hood so this suited me just fine. I always dug into the details and I almost always end up programming as close to the bone ON the hardware (or OS) as I possibly can both to eek out as much performance as possible AND to satisfy my own hunger for knowledge. Over the last decade I’ve been involved in the hiring process at many studios and in more recent years I’ve noticed a pattern. It depresses me that so much of what I consider to be essential is simply not being taught anymore.
Build your own operating system.