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Getting started with Julia Programming Language

Getting started with Julia Programming Language

By : Ivo Balbaert
4.1 (17)
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Getting started with Julia Programming Language

Getting started with Julia Programming Language

4.1 (17)
By: Ivo Balbaert

Overview of this book

This book is for you if you are a data scientist or working on any technical or scientific computation projects. The book assumes you have a basic working knowledge of high-level dynamic languages such as MATLAB, R, Python, or Ruby.
Table of Contents (14 chapters)
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12
A. List of Macros and Packages
13
Index

Calling C and FORTRAN

While Julia can rightfully claim to obviate the need to write some C or FORTRAN code, it is possible that you will need to interact with the existing C or FORTRAN shared libraries. Functions in such a library can be called directly by Julia, with no glue code, or boilerplate code or compilation needed. Because Julia's LLVM compiler generates native code, calling a C function from Julia has exactly the same overhead as calling the same function from C code itself. However, first, we need to know a few more things:

  • For calling out to C, we need to work with pointer types; a native pointer Ptr{T} is nothing more than the memory address for a variable of type T
  • At this lower level, the term bitstype is also used; bitstype is a concrete type whose data consists of bits, such as Int8, Uint8, Int32, Float64, Bool, and Char
  • To pass a string to C, it is converted to a contiguous byte array representation with the function bytestring(); given Ptr to a C string, it returns...
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