Karl Popper, "Objective Knowledge", in order to make you understand what the dangers of induction and inductive reasoning are.
John von Neumann & Oskar Morgenstern "Theory of Games and Economic Behavior", a brain-trainer that will leave you, after having read it, much more induced to first simulate, then code !
Peano, "Calcolo Geometrico", containing his famous axioms for Boolean algebra. There is a good translation from the year 2000 by Kannenberg, titled "Geometric Calculus"
Leslie Lamport, "Time, Clocks and the Ordering of Events in a Distributed System" -- you will never think the same again about synchronization and time-related problems....
And so on. All classics from the 20th century, giving the necessary background in computing and logics fundamentals that I so often miss in today's fresh graduates. The oldest text, by Peano is even from 1888, but still actual today !
Julia is a high-level dynamic programming language designed to address the requirements of high-performance numerical and scientific computing while also being effective for general purpose programming.Julia's core is implemented in C and C++, its parser in Scheme, and the LLVM compiler framework is used for just-in-time generation of machine code.
Source: wikipedia entry on "Julia programming language", called on May 15, 08h56m CEST
Walks like an interpreted language, looks like an interpreted language, quacks like an interpreted language... could it be an interpreted language ?
You have a message from the operator.