Julia Data Science

The Julian Way of Programming and How It Applies to Data Science  eBooks & eLearning

Posted by naag at April 24, 2017
The Julian Way of Programming and How It Applies to Data Science

The Julian Way of Programming and How It Applies to Data Science
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 27M | 72 MB
Genre: eLearning | Language: English

Programming Languages for Data Science (Julia, Scala, Python, and R)  eBooks & eLearning

Posted by naag at March 27, 2017
Programming Languages for Data Science (Julia, Scala, Python, and R)

Programming Languages for Data Science (Julia, Scala, Python, and R)
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 36M | 88 MB
Genre: eLearning | Language: English

Learning Path: Julia: Explore Data Science with Julia  eBooks & eLearning

Posted by FenixN at March 16, 2017
Learning Path: Julia: Explore Data Science with Julia

Learning Path: Julia: Explore Data Science with Julia
HDRips | MP4/AVC, ~137 kb/s | 1280x720 | Duration: 05:33:29 | English: AAC, 128 kb/s (2 ch) | 869 MB
Genre: Development / Programming

Use the advanced features of Julia to work with complex data

Julia for Data Science  eBooks & eLearning

Posted by FenixN at Jan. 10, 2017
Julia for Data Science

Julia for Data Science
HDRips | MP4/AVC, ~461 kb/s | 1280x720 | Duration: 02:41:23 | English: AAC, 128 kb/s (2 ch) | 546 MB
Genre: Development / Programming

Refine your data science skills with the heavy armory of tools provided by Julia

A Pythonista’s Guide to the Julia Language for Data Science  eBooks & eLearning

Posted by FenixN at Nov. 4, 2016
A Pythonista’s Guide to the Julia Language for Data Science

A Pythonista’s Guide to the Julia Language for Data Science
HDRips | MP4/AVC, ~141 kb/s | 1280x720 | Duration: 00:21:25 | English: AAC, 128 kb/s (2 ch) | 42 MB
Genre: Development / Programming

This video provides a brief introduction to using Julia for data science. Zack explains the benefits of Julia including most importantly the simplicity of coding without the sacrificing of performance. Learn how Julia compares to other languages including Python, Fortran, and C. Learn about the packages available in Julia and the pre-requisites to quickly picking up the language, including the importance of at least some knowledge of object-oriented (OO) paradigms.

Julia for Data Science  eBooks & eLearning

Posted by Grev27 at Oct. 8, 2016
Julia for Data Science

Anshul Joshi, "Julia for Data Science"
English | ISBN: 1785289691 | 2016 | PDF/EPUB/MOBI | 348 pages | 16 MB/17 MB/24 MB
Mastering Julia - Tackle the Contemporary Challenges of Programming and Data Science with Julia

Mastering Julia by Malcolm Sherrington
English | 26 July 2015 | ISBN: 1783553316 | 410 Pages | EPUB/MOBI/PDF (True) | 18.1 MB

Julia is a well-constructed programming language with fast execution speed, eliminating the classic problem of performing analysis in one language and translating it for performance into a second.
Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark

Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark by Russell Jurney
English | June 23, 2017 | ISBN: 1491960116 | EPUB | 352 pages | 9.8 MB
Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance

Thomas Mailund, "Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance"
English | ISBN: 1484229185 | 2017 | 110 pages | PDF | 1 MB

Beginning Data Science with R [Repost]  eBooks & eLearning

Posted by hill0 at June 22, 2017
Beginning Data Science with R [Repost]

Beginning Data Science with R by Manas A. Pathak
English | 31 Dec. 2014 | ISBN: 3319120654 | 172 Pages | PDF | 3.86 MB

“We live in the age of data. In the last few years, the methodology of extracting insights from data or "data science" has emerged as a discipline in its own right. The R programming language has become one-stop solution for all types of data analysis. The growing popularity of R is due its statistical roots and a vast open source package library.