Julia 1.0

Hands-On Julia Programming: An Authoritative Guide to the Production-Ready Systems in

Hands-On Julia Programming: An Authoritative Guide to the Production-Ready Systems in
English | 2021 | ISBN: 9391030882 | EPUB | 388 pages | 1.49 Mb

Julia Quick Syntax Reference: A Pocket Guide for Data Science Programming (Repost)  eBooks & eLearning

Posted by AvaxGenius at Nov. 24, 2019
Julia Quick Syntax Reference: A Pocket Guide for Data Science Programming (Repost)

Julia Quick Syntax Reference: A Pocket Guide for Data Science Programming by Antonello Lobianco
English | EPUB | 2019 | 223 Pages | ISBN : 148425189X | 1.24 MB

This quick Julia programming language guide is a condensed code and syntax reference to the Julia 1.x programming language, updated with the latest features of the Julia APIs, libraries, and packages. It presents the essential Julia syntax in a well-organized format that can be used as a handy reference.

Julia Programming Projects (Repost)  eBooks & eLearning

Posted by step778 at Sept. 12, 2022
Julia Programming Projects (Repost)

Adrian Salceanu, "Julia Programming Projects: Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web"
English | 2018 | pages: 500 | ISBN: 178829274X | EPUB | 16,7 mb

Julia Quick Syntax Reference: A Pocket Guide for Data Science Programming  eBooks & eLearning

Posted by roxul at Nov. 11, 2019
Julia Quick Syntax Reference: A Pocket Guide for Data Science Programming

Antonello Lobianco, "Julia Quick Syntax Reference: A Pocket Guide for Data Science Programming"
English | ISBN: 148425189X | 2019 | 216 pages | EPUB, PDF | 1274 KB + 3 MB

Julia Programming Projects  eBooks & eLearning

Posted by readerXXI at May 8, 2019
Julia Programming Projects

Julia Programming Projects : Learn Julia 1.x by Building Apps
for Data Analysis, Visualization, Machine Learning, and the Web

by Adrian Salceanu
English | 2018 | ISBN: 178829274X | 500 Pages | ePUB | 19 MB
Hands-On Julia Programming: An Authoritative Guide to the Production-Ready Systems in Julia

Hands-On Julia Programming: An Authoritative Guide to the Production-Ready Systems in Julia
English | 2021 | ISBN: 9391030882 | 374 pages | True EPUB, MOBI | 4.53 MB

Build production-ready machine learning and NLP systems using functional programming, development platforms, and cloud deployment.

Mysterious Travel The Magic Diary v1.0.0  Games

Posted by thanhcattuhan0984 at June 5, 2010
Mysterious Travel The Magic Diary v1.0.0

Mysterious Travel The Magic Diary v1.0.0
PC | English | Release: 05/06/2010 | Developer: ERS G-Studio | 42.3 MB
Genre: Hidden Object Games

Join Julia on her Mysterious Travel! After winning a free vacation, Julia finds an exciting adventure in this Hidden Object game! Explore the hotel and find a Magic Diary full of mysterious directions, and clever hints. Find valuable clues as you explore the area and become entangled in the mystery! Dive into Mysterious Travel: The Magic Diary and become immersed in an awesome world.

Think Julia: How to Think Like a Computer Scientist [Early Release]  eBooks & eLearning

Posted by hill0 at Dec. 15, 2018
Think Julia: How to Think Like a Computer Scientist [Early Release]

Think Julia: How to Think Like a Computer Scientist
by Ben Lauwens

English | 2019 | ISBN: 1492045039 | 107 Pages | PDF | 5.05 MB

«Adeline & Julia» by Brian C. Wilson  eBooks & eLearning

Posted by Gelsomino at Sept. 24, 2019
«Adeline & Julia» by Brian C. Wilson

«Adeline & Julia» by Brian C. Wilson
English | ISBN: 9781628961768 | EPUB | 1.0 MB

Numerische lineare Algebra: Eine konzise Einführung mit MATLAB und Julia (Repost)  eBooks & eLearning

Posted by AvaxGenius at Oct. 7, 2019
Numerische lineare Algebra: Eine konzise Einführung mit MATLAB und Julia (Repost)

Numerische lineare Algebra: Eine konzise Einführung mit MATLAB und Julia by Folkmar Bornemann
Deutsch | PDF | 2018 | 154 Pages | ISBN : 3658244305 | 2.28 MB

Dieses Buch führt anhand grundlegender Problemstellungen der linearen Algebra in das algorithmisch-numerische Denken ein. Die Beschränkung auf die lineare Algebra sichert dabei eine stärkere thematische Kohärenz als sie sonst in einführenden Vorlesungen zur Numerik zu finden ist. Die Darstellung betont die Zweckmäßigkeit von Matrixpartitionierungen gegenüber einer komponentenweisen Betrachtung, was sich nicht nur in einer übersichtlicheren Notation und kürzeren Algorithmen auszahlt, sondern angesichts moderner Computerarchitekturen auch zu signifikanten Laufzeitgewinnen führt.