How to think like a Computer Scientist (C++ Version)
by Allen B. Downey
Number of pages: 189
The goal of this book is to teach you to think like a computer scientist. I like the way computer scientists think because they combine some of the best features of Mathematics, Engineering, and Natural Science. Like mathematicians, computer scientist use formal languages to denote ideas (specifically compuations). Like engineers, they design things, assembling components into systems and evaluating tradeoffs among alternatives. Like scientists, they observe the behavior of complex systems, form hypotheses, and test predictions.
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by Bernt Arne Ødegaard
Useful examples and algorithms for people working within the field of finance. Typical examples are option/derivatives pricing, term structure calculations, mean variance analysis. The author made C++ subroutines that implements common algorithms.
by Alex Robenko - GitBook
The intended audience of this document is professional C++ developers who want to understand bare metal development a little bit better, get to know how to use C++ language in an embedded environment, and bring their C++ skills to an 'expert' level.
by Colin Campbell, Ade Miller - Microsoft Press
This guide introduces you to the most frequently used patterns of parallel programming and provides executable code samples for them, using PPL. When thinking about where to begin, a good place to start is to review the patterns in this book.
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Now that software development is shifting primarily toward mobile and cloud computing, C++ is returning to the dominant position. Authors demonstrate how modern C++ provides the power necessary for server farms as well as low-footprint mobile apps.