• r Programming For Data Science

R Programming for Data Science  eBooks & eLearning

Posted by Grev27 at Feb. 9, 2016
R Programming for Data Science

Roger D. Peng, "R Programming for Data Science"
English | ISBN: n/a | 2016 | PDF | 158 pages | 10,4 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 | EPUB | 2017 | 106 Pages | ISBN : 1484228804 | 520 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.
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
Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance

Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance by Thomas Mailund
English | 4 May 2017 | ISBN: 148422745X | 104 Pages | EPUB | 968.5 KB
Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance

Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance by Thomas Mailund
English | 4 May 2017 | ISBN: 148422745X | 104 Pages | PDF | 968.5 KB

Master functions and discover how to write functional programs in R. In this concise book, you'll make your functions pure by avoiding side-effects; you’ll write functions that manipulate other functions, and you’ll construct complex functions using simpler functions as building blocks.

Learning Path: R Programming for Data Analysts  eBooks & eLearning

Posted by FenixN at Nov. 16, 2016
Learning Path: R Programming for Data Analysts

Learning Path: R Programming for Data Analysts
HDRips | MP4/AVC, ~1500 kb/s | 960x528 | Duration: 15:12:01 | English: AAC, 128 kb/s (2 ch) | 5,46 GB
Genre: Development / Programming

R Programming Data Analyst Learning Path, is a tour through the most important parts of R, the statistical programming language, from the very basics to complex modeling. It covers reading data, programming basics, visualization, data munging, regression, classification, clustering, modern machine learning, network analysis, web graphics, and techniques for dealing with large data, both in memory and in databases.
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.

Reactive Python for Data Science  eBooks & eLearning

Posted by FenixN at Jan. 21, 2017
Reactive Python for Data Science

Reactive Python for Data Science
HDRips | MP4/AVC, ~2000 kb/s | 1920x1080 | Duration: 02:17:37 | English: AAC, 128 kb/s (2 ch) | 2.00 GB
Genre: Development / Programming

Reactive programming is shaping the future of how we model data. With reactive, not only can you concisely wrangle and analyze static data, you can effectively work with data as a real-time infinite feed. Reactive Extensions (Rx) first gained traction in 2009 and has been ported to over a dozen major languages and platforms.

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

Getting Started with R for Data Science  eBooks & eLearning

Posted by FenixN at Nov. 24, 2016
Getting Started with R for Data Science

Getting Started with R for Data Science
HDRips | MP4/AVC, ~107 kb/s | 1280x720 | Duration: 01:39:07 | English: AAC, 128 kb/s (2 ch) | 224 MB
Genre: Development / Programming

Unleash the powerful capabilities of R to work effectively with data.