Add to ORKGThis work describes dynamic programming language Julia. Firstly, user is introduced to syntax and implementation of this language. Next there are advices for writing effective code and his optimalization. Also some examples of using Julia in scientific projects are described. Comparison between Julia, C and Python is in experimental part. Python and C were chosen as examples of statically and dynamically typed languages
International audienceResearch in high energy physics (HEP) requires huge amounts of computing and s...
Dynamic programming languages are highly popular and widely used. Java-Script is often called the li...
The increasing proliferation of low-cost microcomputer networks has brought distributed computing wi...
Dynamic languages have become popular for scientific computing. They are generally considered highly...
Usually, dynamic programming languages (like Python, R, or MATLAB) are quite slow when executed, whi...
This book is for you if you are a data scientist or working on any technical or scientific computati...
About this course Julia is a high-level, high-performance dynamic programming language with more th...
The Julia programming language is gaining enormous popularity. Julia was designed to be easy and fas...
This hands-on guide is aimed at practitioners of data science. The book assumes some previous skills...
The Julia Language is very easy to adopt for Research and Teaching. I found that this language is we...
Machine learning is driving development across many fields in science and engineering. A simple and ...
This Learning Path is your step-by-step guide to learn the high-level and high-performance Julia lan...
A new approach for modeling of cyber-physical systems is proposed that combines the modeling power o...
The state of numerical computing is currently characterized by a divide between highly efficient yet...
Julia is a high-level, high-performance dynamic programming language for numerical computing. This b...
International audienceResearch in high energy physics (HEP) requires huge amounts of computing and s...
Dynamic programming languages are highly popular and widely used. Java-Script is often called the li...
The increasing proliferation of low-cost microcomputer networks has brought distributed computing wi...
Dynamic languages have become popular for scientific computing. They are generally considered highly...
Usually, dynamic programming languages (like Python, R, or MATLAB) are quite slow when executed, whi...
This book is for you if you are a data scientist or working on any technical or scientific computati...
About this course Julia is a high-level, high-performance dynamic programming language with more th...
The Julia programming language is gaining enormous popularity. Julia was designed to be easy and fas...
This hands-on guide is aimed at practitioners of data science. The book assumes some previous skills...
The Julia Language is very easy to adopt for Research and Teaching. I found that this language is we...
Machine learning is driving development across many fields in science and engineering. A simple and ...
This Learning Path is your step-by-step guide to learn the high-level and high-performance Julia lan...
A new approach for modeling of cyber-physical systems is proposed that combines the modeling power o...
The state of numerical computing is currently characterized by a divide between highly efficient yet...
Julia is a high-level, high-performance dynamic programming language for numerical computing. This b...
International audienceResearch in high energy physics (HEP) requires huge amounts of computing and s...
Dynamic programming languages are highly popular and widely used. Java-Script is often called the li...
The increasing proliferation of low-cost microcomputer networks has brought distributed computing wi...