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Large-Scale C++ Software Design by John Lakos

Large-Scale C++ Software Design John Lakos ebook
Page: 870
ISBN: 0201633620,
Format: djvu
Publisher: Addison Wesley

May 13, 2013 - Recently I've been browsing source code of large applications written in C++ to learn a bit but I couldn't help but notice that most if not all use a lot of IFDEFs and class-less functions (where they could have been class members/methods). Feb 13, 2014 - for Analytics, Data Mining, and Data Science Software, Companies, Data, Jobs, Education, News, and more. €� Stephen Dewhurst, C++ Gotchas. Feb 2, 2014 - There are many resources on writing nice APIs, nice classes, templates and so on at source level, but barely anything about putting things together in shared libs and executables. Sense to define a 3GL in terms of its shortcomings and what it is clearly not. An example is Qt Compiler differences or versioning differences - Different versions of compilers, or different compilers altogether, may support functionality/libraries that aren't supported by other compilers. Probably the first and foremost software engineering reference explaining this concept is John Lakos' Large-Scale C++ Software Design (ca 1996). Advanced search This "high purpose" and demanding role offers a unique combination of deep computer science (big data, search), scalable and high-performance production systems, large-scale framework design, and consumer product thinking. [Asserts] occupy a useful niche situated somewhere between comments and exceptions for documenting and detecting illegal behavior. Building a next-gen Strong coding skills in a language such as Java/C++/Python etc. Mar 11, 2014 - Technologies we use include: C++, C#.net, Java, Scala, Python, KDB/Q, F#, Haskell, MS SQL, scripting and monitoring tools. Applicants with up to two years' An interest in a variety of development tasks from algo design to web development. Nov 16, 2008 - John Lakos, Large-Scale C++ Software Design. Knowledge and experience We are experts at developing successful automated trading systems for global financial markets by applying scientific analysis techniques to large scale financial data.