<p>Astronomers love Python because it is open source, easy to learn, and has a tremendous ecosystem for scientific computing. The Julia programming language has many of those same characteristics. In this talk, I discuss Julia, its use in astronomy and the growing ecosystem of astronomy packages, particularly those managed by the JuliaAstro organization (http://JuliaAstro.github.io).</p
The Julia programming language is gaining enormous popularity. Julia was designed to be easy and fas...
International audienceResearch in high energy physics (HEP) requires huge amounts of computing and s...
Usually, dynamic programming languages (like Python, R, or MATLAB) are quite slow when executed, whi...
Astronomers love Python because it is open source, easy to learn, and has a tremendous ecosystem for...
<p>In short, my participation in the Python in Astronomy in 2016 taught me what it takes to make sof...
We have developed a Python replacement for the command language used in IRAF, the most widely used d...
Julia is an open source dynamic programming language publicly released in 2012. One of the benefits ...
Julia's potential for solving complex astrodynamics problems is studied. Julia is a high-level, new,...
Due to the computationally intensive nature of astrodynamics tasks, astrodynamicists have relied on...
Julia is an open-source programming language designed for numerical computing combining simplicity a...
poliastro is an open source (MIT) Python library for Astrodynamics and Orbital Mechanics, focused on...
<p>The Astropy Project is a community effort to develop a single core package for Astronomy in Pytho...
Euro-VO/ESCAPE repository of Python tutorials This repository contains Jupyter notebooks illustrati...
This paper discusses the author’s contributions to two packages affiliated with Astropy, a community...
Abstract. Execution speed is critical for code developed for high energy physics (HEP) research. HEP...
The Julia programming language is gaining enormous popularity. Julia was designed to be easy and fas...
International audienceResearch in high energy physics (HEP) requires huge amounts of computing and s...
Usually, dynamic programming languages (like Python, R, or MATLAB) are quite slow when executed, whi...
Astronomers love Python because it is open source, easy to learn, and has a tremendous ecosystem for...
<p>In short, my participation in the Python in Astronomy in 2016 taught me what it takes to make sof...
We have developed a Python replacement for the command language used in IRAF, the most widely used d...
Julia is an open source dynamic programming language publicly released in 2012. One of the benefits ...
Julia's potential for solving complex astrodynamics problems is studied. Julia is a high-level, new,...
Due to the computationally intensive nature of astrodynamics tasks, astrodynamicists have relied on...
Julia is an open-source programming language designed for numerical computing combining simplicity a...
poliastro is an open source (MIT) Python library for Astrodynamics and Orbital Mechanics, focused on...
<p>The Astropy Project is a community effort to develop a single core package for Astronomy in Pytho...
Euro-VO/ESCAPE repository of Python tutorials This repository contains Jupyter notebooks illustrati...
This paper discusses the author’s contributions to two packages affiliated with Astropy, a community...
Abstract. Execution speed is critical for code developed for high energy physics (HEP) research. HEP...
The Julia programming language is gaining enormous popularity. Julia was designed to be easy and fas...
International audienceResearch in high energy physics (HEP) requires huge amounts of computing and s...
Usually, dynamic programming languages (like Python, R, or MATLAB) are quite slow when executed, whi...
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