Add to ORKGJulia is a high-level, high-performance dynamic programming language for numerical computing. This book will help you understand the performance characteristics of your Julia programs and achieve near-C levels of performance in Julia
We argue that the Julia programming language is a compelling alternative to implementations in Pytho...
This work describes dynamic programming language Julia. Firstly, user is introduced to syntax and im...
Usually, dynamic programming languages (like Python, R, or MATLAB) are quite slow when executed, whi...
This Learning Path is your step-by-step guide to learn the high-level and high-performance Julia lan...
The Julia programming language is gaining enormous popularity. Julia was designed to be easy and fas...
This book is for you if you are a data scientist or working on any technical or scientific computati...
The increasing proliferation of low-cost microcomputer networks has brought distributed computing wi...
The state of numerical computing is currently characterized by a divide between highly efficient yet...
International audienceResearch in high energy physics (HEP) requires huge amounts of computing and s...
About this course Julia is a high-level, high-performance dynamic programming language with more th...
Numerical methods are the most popular tools in computational mechanics and have been used to tackle...
GPUs and other accelerators are popular devices for accelerating compute-intensive, parallelizable a...
Dynamic languages have become popular for scientific computing. They are generally considered highly...
Abstract. Execution speed is critical for code developed for high energy physics (HEP) research. HEP...
This hands-on guide is aimed at practitioners of data science. The book assumes some previous skills...
We argue that the Julia programming language is a compelling alternative to implementations in Pytho...
This work describes dynamic programming language Julia. Firstly, user is introduced to syntax and im...
Usually, dynamic programming languages (like Python, R, or MATLAB) are quite slow when executed, whi...
This Learning Path is your step-by-step guide to learn the high-level and high-performance Julia lan...
The Julia programming language is gaining enormous popularity. Julia was designed to be easy and fas...
This book is for you if you are a data scientist or working on any technical or scientific computati...
The increasing proliferation of low-cost microcomputer networks has brought distributed computing wi...
The state of numerical computing is currently characterized by a divide between highly efficient yet...
International audienceResearch in high energy physics (HEP) requires huge amounts of computing and s...
About this course Julia is a high-level, high-performance dynamic programming language with more th...
Numerical methods are the most popular tools in computational mechanics and have been used to tackle...
GPUs and other accelerators are popular devices for accelerating compute-intensive, parallelizable a...
Dynamic languages have become popular for scientific computing. They are generally considered highly...
Abstract. Execution speed is critical for code developed for high energy physics (HEP) research. HEP...
This hands-on guide is aimed at practitioners of data science. The book assumes some previous skills...
We argue that the Julia programming language is a compelling alternative to implementations in Pytho...
This work describes dynamic programming language Julia. Firstly, user is introduced to syntax and im...
Usually, dynamic programming languages (like Python, R, or MATLAB) are quite slow when executed, whi...