Book Image

Getting Started With Julia [Video]

By : Erik Engheim, Chris von Csefalvay
5 (1)
Book Image

Getting Started With Julia [Video]

5 (1)
By: Erik Engheim, Chris von Csefalvay

Overview of this book

Julia is a new programming language designed for the needs of data scientists, statisticians, scientific computing, and engineers. Usually these disciplines have had to use a variety of of tools and languages: Matlab Python with Numpy R C/C++ or Fortran for high performance With Julia you can replace all these tools with one programming language, since it offers both flexibility and speed. Julia is a young language with limited documentation and although rapidly growing, a small user community. Most developers today will know the object oriented paradigm used in mainstream languages such as Python, Java and C++. This presents a challenge switching to Julia which is more functionally oriented. This course will not only introduce the language, but also explain how to think differently about problems with the Julia approach.
Table of Contents (13 chapters)
Chapter 13
Performance
Content Locked
Section 3
Type Stability
Type stability is a term coined in the Julia community, and it is the core concept to understand to write high performance Julia code. - Understand how lack of type stability affects machine code generation. - Know the causes of type instability - Understand the approaches to diagnose and avoid type instability