Julia For Data Science

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

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

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

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.

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

Lynda - Julia for Data Scientists First Look  eBooks & eLearning

Posted by U.N.Owen at Oct. 21, 2016
Lynda - Julia for Data Scientists First Look

Lynda - Julia for Data Scientists First Look
Size: 103 MB | Duration: 0h 33m | Video: AVC (.mp4) 1280x720 30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Intermediate | Language: English

Get a first look at Julia, the powerful and fast programming language for data science and analytics.
Self Learning of Data Science for Free(Revised): Skill Development for Data Science Jobs

Self Learning of Data Science for Free(Revised): Skill Development for Data Science Jobs
English | 2017 | ISBN-10: 153015071X | 102 pages | PDF + EPUB+ AZW3 (conv) | 1.20 Mb
Metaprogramming in R: Advanced Statistical Programming for Data Science, Analysis and Finance

Metaprogramming in R: Advanced Statistical Programming for Data Science, Analysis and Finance By Thomas Mailund
English | PDF | 2017 | 106 Pages | ISBN : 1484228804 | 850 KB

Learn how to manipulate functions and expressions to modify how the R language interprets itself. This book is an introduction to metaprogramming in the R language, so you will write programs to manipulate other programs. Metaprogramming in R shows you how to treat code as data that you can generate, analyze, or modify.

R for Data Science Cookbook  eBooks & eLearning

Posted by readerXXI at May 18, 2017
R for Data Science Cookbook

R for Data Science Cookbook
by Yu-Wei, Chiu (David Chiu)
English | 2016 | ISBN: 178439081X | 452 Pages | True PDF | 6 MB

This cookbook offers a range of data analysis samples in simple and straightforward R code, providing step-by-step resources and time-saving methods to help you solve data problems efficiently.

Simulation for Data Science with R  eBooks & eLearning

Posted by readerXXI at May 18, 2017
Simulation for Data Science with R

Simulation for Data Science with R
by Matthias Templ
English | 2016 | ISBN: 1785881167 | 398 Pages | True PDF | 6 MB

Harness actionable insights from your data with computational statistics and simulations using R.