Bootstrap

Bootstrap 4 Cookbook  eBooks & eLearning

Posted by naag at July 4, 2017
Bootstrap 4 Cookbook

Bootstrap 4 Cookbook
English | 2017 | ISBN-10: 178588929X | 338 pages | PDF/MOBI/EPUB (conv) | 2.77 Mb | Code File 748 MB

Over 75 recipes to help you build elegant and responsive web applications with Bootstrap 4

Mobile First Bootstrap  eBooks & eLearning

Posted by advisors at Sept. 22, 2014
Mobile First Bootstrap

Mobile First Bootstrap By Alexandre Magno
2013 | 92 Pages | ISBN: 1783285796 | EPUB, MOBI, PDF | 7 MB

An Introduction to Bootstrap Methods with Applications to R  eBooks & eLearning

Posted by interes at Aug. 27, 2014
An Introduction to Bootstrap Methods with Applications to R

An Introduction to Bootstrap Methods with Applications to R by Michael R. Chernick and Robert A. LaBudde
English | 2011 | ISBN: 0470467045 | 240 pages | PDF | 1 MB

A comprehensive introduction to bootstrap methods in the R programming environment

Bootstrap 3: Advanced Web Development (2013) [repost]  eBooks & eLearning

Posted by house23 at March 14, 2014
Bootstrap 3: Advanced Web Development (2013) [repost]

Bootstrap 3: Advanced Web Development (2013)
MP4 | AVC 317kbps | English | 960x540 | 15fps | 3h 20mins | AAC stereo 128kbps | 4.01 GB
Genre: Video Training

Generate your own interactive website from scratch with Bootstrap, the mobile-friendly framework from Twitter, in this start-to-finish course with developer and author Ray Villalobos. First, you'll plan and prototype the interface with MindMaps and Balsamiq Mockups. Next, download Bootstrap and dive into organizing your site structure with its scaffolding feature—adding PHP includes to break your code into reusable modules and building in the core navigation. Ray then shows you how to build interactive carousels, modal features, and forms, and control these features with JavaScript. Finally, learn to style it all with LESS and prepare to publish the results online.

Bootstrap: Adding Interactivity to Your Site with Jen Kramer  eBooks & eLearning

Posted by serpmolot at June 16, 2013
Bootstrap: Adding Interactivity to Your Site with Jen Kramer

Bootstrap: Adding Interactivity to Your Site with Jen Kramer
English | May 20, 2013 | mp4 | H264 960x540 | AAC 2 ch 127 kbps | 1 hr 25 min | 385 MB
eLearning, Developer, Web, Blogs, Web Design, Projects, Web Development | software: Bootstrap | level: Beginner

Bootstrap for Web Design  eBooks & eLearning

Posted by serpmolot at April 22, 2013
Bootstrap for Web Design

Bootstrap for Web Design
English | April 17, 2013 | mov | H264 1280x720 | AAC 2 ch 96 kbps | 877 MB
eLearning, Web Design, CSS | +Source Files
Bootstrap Yourself with Linux-USB Stack: Design, Develop, Debug, and Validate Embedded USB Systems (Repost)

Rajaram Regupathy "Bootstrap Yourself with Linux-USB Stack: Design, Develop, Debug, and Validate Embedded USB Systems"
ISBN: 1435457862 | 2011 | PDF | 320 pages | 4 MB

Bootstrap Techniques for Signal Processing (repost)  eBooks & eLearning

Posted by rolexmaya at Oct. 12, 2011
Bootstrap Techniques for Signal Processing (repost)

Bootstrap Techniques for Signal Processing
Cambridge University Press | June 21, 2004 | ISBN-10: 052183127X | 232 pages | PDF | 1.7 Mb

The statistical bootstrap is one of the methods that can be used to calculate estimates of a certain number of unknown parameters of a random process or a signal observed in noise, based on a random sample.
Bootstrap Yourself with Linux-USB Stack: Design, Develop, Debug, and Validate Embedded USB Systems

Bootstrap Yourself with Linux-USB Stack: Design, Develop, Debug, and Validate Embedded USB Systems By Rajaram Regupathy
Publisher: Course Tec hno logy PTR 2011 | 320 Pages | ISBN: 1435457862 | PDF | 4 MB

Climate Time Series Analysis: Classical Statistical and Bootstrap Methods  eBooks & eLearning

Posted by rolexmaya at Aug. 29, 2010
Climate Time Series Analysis: Classical Statistical and Bootstrap Methods

Climate Time Series Analysis: Classical Statistical and Bootstrap Methods
Springer; 1st Edition | 2010 | ISBN-10: 9048194814 | 500 pages | PDF | 6.5 Mb

Climate is a paradigm of a complex system. Analysing climate data is an exciting challenge, which is increased by non-normal distributional shape, serial dependence, uneven spacing and timescale uncertainties.