Mastering Julia. This hands-on guide is aimed at practitioners of data science. The book assumes some previous skills with Julia and skills in coding in a scripting language such as Python or R, or a compiled language such as C or Java.
Becoming Julia. This article describes the profound changes experienced by the author during the two years she spent as part of the 52nd Street Project Teen Ensemble, playing the part of " Julia " in Shakespeare's musical play "The Two Gentlemen of Verona. Alternate superior Julia sets. Alternate Julia sets have been studied in Picard iterative procedures. The purpose of this paper is to study the quadratic and cubic maps using superior iterates to obtain Julia sets with different alternate structures.
Analytically, graphically and computationally it has been shown that alternate superior Julia sets can be connected, disconnected and totally disconnected, and also fattier than the corresponding alternate Julia sets. A few examples have been studied by applying different type of alternate structures. Generalized sampling in Julia. Generalized sampling is a numerically stable framework for obtaining reconstructions of signals in different bases and frames from their samples.
For example, one can use wavelet bases for reconstruction given frequency measurements. In this paper, we will introduce a carefully documented toolbox Julia is a new language for technical computing with focus on performance, which is ideally suited to handle the large size problems often encountered in generalized sampling.
The toolbox provides specialized solutions for the setup of Fourier bases and wavelets Julia and Python in Astronomy: Better Together. Astronomers love Python because it is open source, easy to learn, and has a tremendous ecosystem for scientific computing.
