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David Granjon holds a PhD in applied mathematics from Université Pierre et Marie Curie and Université de Lausanne. He is the founder and maintainer of the open source RinteRface organisation [...] where he develops Shiny extensions ({bs4Dash}, {shinyMobile}, {shinydashboardplus}, ...) and deliver novel advanced Shiny workshops in worldwide R conferences like useR or R in Pharma. David works as a full-fulltime Senior Data Science Expert at Novartis where he provides his expertise to help associates to design outstanding user interfaces for clinical trials.
1 Shiny and the Web 2 Manipulate HTML tags from R with {htmltools} 3 Discover Shiny dependencies 4 Handle HTML dependencies with {htmltools} 5 Web application concepts 6 CSS for Shiny 7 Tidy your CSS with Sass 8 Beautify with {fresh} 9 Become a theming wizard with {bslib} 10 JavaScript for Shiny 11 Communicate between R and JS 12 Understand and develop new Shiny inputs 13 Shiny inputs lifecycles 14 Mastering Shiny's events 15 Optimize your apps with custom handlers 16 Define dependencies 17 Create template elements 18 Develop custom input widgets 19 Adding more interactivity 20 Testing and validating templates elements 21 Automate new template creation with {charpente} 22 Introduction 23 Reconstruct {shinyMobile} 24 {shinyMobile} and PWA 25 Design widgets 26 Fine tune {shinyMobile} 27 Shiny and React with {reactR} 28 Divide and Conquere 29 What to do next? A Code Outputs
Erscheinungsjahr: | 2022 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: | Einband - flex.(Paperback) |
ISBN-13: | 9780367643652 |
ISBN-10: | 0367643650 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Granjon, David |
Hersteller: | CRC Press |
Maße: | 251 x 180 x 30 mm |
Von/Mit: | David Granjon |
Erscheinungsdatum: | 31.08.2022 |
Gewicht: | 1,02 kg |
David Granjon holds a PhD in applied mathematics from Université Pierre et Marie Curie and Université de Lausanne. He is the founder and maintainer of the open source RinteRface organisation [...] where he develops Shiny extensions ({bs4Dash}, {shinyMobile}, {shinydashboardplus}, ...) and deliver novel advanced Shiny workshops in worldwide R conferences like useR or R in Pharma. David works as a full-fulltime Senior Data Science Expert at Novartis where he provides his expertise to help associates to design outstanding user interfaces for clinical trials.
1 Shiny and the Web 2 Manipulate HTML tags from R with {htmltools} 3 Discover Shiny dependencies 4 Handle HTML dependencies with {htmltools} 5 Web application concepts 6 CSS for Shiny 7 Tidy your CSS with Sass 8 Beautify with {fresh} 9 Become a theming wizard with {bslib} 10 JavaScript for Shiny 11 Communicate between R and JS 12 Understand and develop new Shiny inputs 13 Shiny inputs lifecycles 14 Mastering Shiny's events 15 Optimize your apps with custom handlers 16 Define dependencies 17 Create template elements 18 Develop custom input widgets 19 Adding more interactivity 20 Testing and validating templates elements 21 Automate new template creation with {charpente} 22 Introduction 23 Reconstruct {shinyMobile} 24 {shinyMobile} and PWA 25 Design widgets 26 Fine tune {shinyMobile} 27 Shiny and React with {reactR} 28 Divide and Conquere 29 What to do next? A Code Outputs
Erscheinungsjahr: | 2022 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Inhalt: | Einband - flex.(Paperback) |
ISBN-13: | 9780367643652 |
ISBN-10: | 0367643650 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Granjon, David |
Hersteller: | CRC Press |
Maße: | 251 x 180 x 30 mm |
Von/Mit: | David Granjon |
Erscheinungsdatum: | 31.08.2022 |
Gewicht: | 1,02 kg |