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 Jason Turner - GitBook
This document is meant to be a collaborative discussion of the best practices in C++. We fill in some of the lower level details and provide specific stylistic recommendations while also discussing how to ensure overall code quality.
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.
This book contains guidelines and advices on how to write efficient software using the C++ language. Software correctness and maintainability are taken into account, but are not the primary concerns. The book is for intermediate C++ programmers.
The objective is to present modern C++ idioms to programmers who have moderate level of familiarity with C++, and help elevate their knowledge so that C++ feels much friendlier to them. It is designed to be an exhaustive catalog of reusable idioms.