Large-Scale C++ Software Design John Lakos
Publisher: Addison Wesley

[Lakos96] “Large-Scale C++ Software Design”, John Lakos, Addison-Wesley, ISBN 0201633620. Building a next-gen Strong coding skills in a language such as Java/C++/Python etc. Aug 22, 2009 - CCD is not new: it has been discussed extensively by John Lakos in his book “Large-Scale C++ Software Design”, published in 1993. Solid understanding of object oriented software design concepts. Feb 12, 2014 - Large Scale C++ Software Design (John Lakos) Lakos explains techniques to manage very big C++ software projects. Naturally, experienced C++ developers do not think about all these as they work, any .. Feb 13, 2014 - for Analytics, Data Mining, and Data Science Software, Companies, Data, Jobs, Education, News, and more. And Aleksey Gurtovoy, http://boost-consulting.com/tmpbook/preprocessor.html. Jul 12, 2008 - Like any serious C++ developer, Lakos' Large Scale C++ Software Design has an important place on my bookshelf, not too far from Design Patterns and Effective STL. Nov 13, 2010 - John Lakos has written an excellent book on software scaling called: Large-Scale C++ Software Design here is a summary. Aug 30, 2013 - Audience Large-Scale C Software Design was longhand expressly for fully fledged C computer code developers, convention architects, and proactive quality-assurance professionals. 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. Certainly a good read, if it only was up to date. Feb 16, 2013 - This blog post is a result of skimming (and some reading) of the book called "Large Scale C++ Software Design", by John Lakos. Feb 26, 2013 - C++ Software Engineer - AI / NLProc / Big Data Join a world-class team: Serious engineering -- solving real-world problems using data analytics, large-scale parallel processing, web spiders, and document analysis pipelines. Apr 4, 2011 - A consequence of this language design decision is that the responsibility for dealing with these “other considerations” shifts from the language and compiler writer to the developers using the language. Work with awesome technology: Clusters of 1,000+ machines, large neural network learning systems, GPUs, parallel arrays of Strong C++, STL, Boost expertise. It is a very scientific and stringent approach, which is specific for C++.