Using Brython in The Browser
Webgl W/ Unity: The Ultimate Guide To Games In The Browser eBooks & eLearning
Posted by Sigha at March 30, 2023
Webgl W/ Unity: The Ultimate Guide To Games In The Browser
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.85 GB | Duration: 3h 50m
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.85 GB | Duration: 3h 50m
Unity3D is the easiest way to deploy HTML5 games! (Easier than three.js, babylon.js, phaser and playcanvas!)
D3.js Quick Start Guide: Create amazing, interactive visualizations in the browser with JavaScript (Repost) eBooks & eLearning
Posted by DZ123 at Sept. 2, 2023
Matthew Huntington, "D3.js Quick Start Guide: Create amazing, interactive visualizations in the browser with JavaScript"
English | 2018 | ISBN: 1789342384 | EPUB | pages: 180 | 9.2 mb
English | 2018 | ISBN: 1789342384 | EPUB | pages: 180 | 9.2 mb
D3.js Quick Start Guide: Create amazing, interactive visualizations in the browser with JavaScript eBooks & eLearning
Posted by First1 at Oct. 17, 2018
D3.js Quick Start Guide: Create amazing, interactive visualizations in the browser with JavaScript by Matthew Huntington
English | October 9th, 2018 | ISBN: 1789342384 | 180 Pages | EPUB | 9.18 MB
English | October 9th, 2018 | ISBN: 1789342384 | 180 Pages | EPUB | 9.18 MB
This book will help you build interactive graphs that are viewable in any web browser using JavaScript, D3.js, and SVG. You will learn how to make a scatter plot, a bar graph, a pie chart, a force directed graph, and a map.
JavaScript in the Browser eBooks & eLearning
Posted by IrGens at Sept. 30, 2023
JavaScript in the Browser
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 20m | 666 MB
Instructor: Christian Wenz
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 2h 20m | 666 MB
Instructor: Christian Wenz
Beginning Machine Learning in the Browser: Quick-start Guide to Gait Analysis with JavaScript and TensorFlow.js eBooks & eLearning
Posted by arundhati at Aug. 18, 2024
Nagender Kumar Suryadevara, "Beginning Machine Learning in the Browser: Quick-start Guide to Gait Analysis with JavaScript and TensorFlow.js"
English | ISBN: 1484268423 | 2021 | 196 pages | AZW3 | 7 MB
English | ISBN: 1484268423 | 2021 | 196 pages | AZW3 | 7 MB
Prototyping in the Browser eBooks & eLearning
Posted by naag at May 29, 2018
Prototyping in the Browser
MP4 | Video: AVC 1280x720 | Audio: AAC 48KHz 2ch | Duration: 1 Hour | 132 MB
Genre: eLearning | Language: English
MP4 | Video: AVC 1280x720 | Audio: AAC 48KHz 2ch | Duration: 1 Hour | 132 MB
Genre: eLearning | Language: English
D3.js Quick Start Guide: Create amazing, interactive visualizations in the browser with JavaScript eBooks & eLearning
Posted by hill0 at Jan. 24, 2020
D3.js Quick Start Guide: Create amazing, interactive visualizations in the browser with JavaScript
by Matthew Huntington
English | 2018 | ISBN: 1789342384 | 180 Pages | PDF True | 10 MB
D3.js Quick Start Guide: Create amazing, interactive visualizations in the browser with JavaScript eBooks & eLearning
Posted by hill0 at Feb. 8, 2024
D3.js Quick Start Guide: Create amazing, interactive visualizations in the browser with JavaScript
by Matthew Huntington
English | 2018 | ISBN: 9781789342383 | 180 Pages | PDF True | 10 MB
Beginning Machine Learning in the Browser eBooks & eLearning
Posted by hill0 at April 2, 2021
Beginning Machine Learning in the Browser:
Quick-start Guide to Gait Analysis with JavaScript and TensorFlow.js
by Nagender Suryadevara
English | 2021 | ISBN: 1484268423 | 193 Pages | PDF EPUB | 14 MB
Quick-start Guide to Gait Analysis with JavaScript and TensorFlow.js
by Nagender Suryadevara
English | 2021 | ISBN: 1484268423 | 193 Pages | PDF EPUB | 14 MB
Clean Code In The Browser eBooks & eLearning
Posted by ParRus at June 1, 2019
Clean Code In The Browser
WEBRip | English | MP4 | 1920 x 1080 | AVC ~2249 Kbps | 30 fps
AAC | 165 Kbps | 48.0 KHz | 2 channels | 06:58:45 | 6.85 GB
AAC | 165 Kbps | 48.0 KHz | 2 channels | 06:58:45 | 6.85 GB
Genre: Video Tutorial
The Web has been a dominant platform for over twenty years, but over that time code quality has been surprisingly low. An entire generation of developers came up through the ranks with a working understanding that front-end code was hard to write well, and harder to maintain over time. How did we get here, and how can we make positive changes towards quality in our browser code?