About this course Julia is a high-level, high-performance dynamic programming language with more than 4,000 external libraries available. Julia allows you to range from tight low-level loops and conditionals, up to a high-level programming style, with its performance approaching and often matching the performance of the fastest programming languages! This workshop explores the more advanced features of functions in Julia, introduces widely used tools within Julia, as well as demonstrates the speed of Julia by benchmarking functions and different styles of scripting within Julia. Join us for this live coding workshop where we write programs that produce results, using Jupyter notebooks, which allow program code, results, visualisations an...
Dynamic languages have become popular for scientific computing. They are generally considered highly...
Research in high energy physics (HEP) requires huge amounts of computing and storage, putting strong...
Software for research has to keep up with the methodological developments in its field. All too ofte...
The Julia programming language is gaining enormous popularity. Julia was designed to be easy and fas...
This work describes dynamic programming language Julia. Firstly, user is introduced to syntax and im...
The Julia Language is very easy to adopt for Research and Teaching. I found that this language is we...
This Learning Path is your step-by-step guide to learn the high-level and high-performance Julia lan...
This hands-on guide is aimed at practitioners of data science. The book assumes some previous skills...
Julia is a high-level, high-performance dynamic programming language for numerical computing. This b...
This book is for you if you are a data scientist or working on any technical or scientific computati...
Usually, dynamic programming languages (like Python, R, or MATLAB) are quite slow when executed, whi...
Community, simplicity, more speed! These are some of the reasons we might check out a new language. ...
Julia is a relatively new computer language that aims to reduce the challenge for mathmodelers to de...
Machine learning is driving development across many fields in science and engineering. A simple and ...
Programmers developing applications for fields as diverse as astronomy, economics, artificial intell...
Dynamic languages have become popular for scientific computing. They are generally considered highly...
Research in high energy physics (HEP) requires huge amounts of computing and storage, putting strong...
Software for research has to keep up with the methodological developments in its field. All too ofte...
The Julia programming language is gaining enormous popularity. Julia was designed to be easy and fas...
This work describes dynamic programming language Julia. Firstly, user is introduced to syntax and im...
The Julia Language is very easy to adopt for Research and Teaching. I found that this language is we...
This Learning Path is your step-by-step guide to learn the high-level and high-performance Julia lan...
This hands-on guide is aimed at practitioners of data science. The book assumes some previous skills...
Julia is a high-level, high-performance dynamic programming language for numerical computing. This b...
This book is for you if you are a data scientist or working on any technical or scientific computati...
Usually, dynamic programming languages (like Python, R, or MATLAB) are quite slow when executed, whi...
Community, simplicity, more speed! These are some of the reasons we might check out a new language. ...
Julia is a relatively new computer language that aims to reduce the challenge for mathmodelers to de...
Machine learning is driving development across many fields in science and engineering. A simple and ...
Programmers developing applications for fields as diverse as astronomy, economics, artificial intell...
Dynamic languages have become popular for scientific computing. They are generally considered highly...
Research in high energy physics (HEP) requires huge amounts of computing and storage, putting strong...
Software for research has to keep up with the methodological developments in its field. All too ofte...