02-AREAS

"R in Production " is a blog that talks about Security, Automation, Scalability in the R environment. Furthermore, Software Engineering teaches us proven methodologies to bring a prototype into production and to facilitate the work process in all its aspects. (Click on the title to read more ...)

Véritables outils de visualisation des données, les tables interactives permettent de trier, colorer, éditer, rechercher, paginer les données

In this guide you’ll find both original content and curated resources to: + Build R shiny apps from scratch + Select the optimal dashboard framework for your R shiny app dashboard + R packages to build interactive, professional quality data visualization + Improve the user experience and dashboard speed tricks + All the ways you can deploy and share R shiny app dashboards + Lessons from a dashboard veteran for better R shiny app dashboards

SQL. Contribute to Uppalapa/Database-Projects development by creating an account on GitHub.

2.1. Introduction This chapter provides an overview of how to use SQL to perform simple operations. This tutorial is only intended …

Read this e-book to learn how to deploy, scale, orchestrate, and manage containerized applications using Kubernetes with Docker.

In the world of virtualization today, there are two words that you no doubt here a lot about – Docker and Kubernetes. The world of container technology has...

This is a tutorial post about building a webapp with user form and leaflet map visualization using R Shiny. The webapp I built aims to collect crowdsourced data of how sustainable are the eateries …

Build native Windows & macOS apps with Javascript and React

A framework for building native Windows apps with React. - microsoft/react-native-windows

validate your data and create nice reports straight from R - Appsilon/data.validator

Support for simple features, a standardized way to encode spatial vector data. Binds to GDAL for reading and writing data, to GEOS for geometrical operations, and to PROJ for projection conversions and datum transformations. Optionally uses the s2 package for spherical geometry operations on geographic coordinates.

Quickly and conveniently create interactive visualisations of spatial data with or without background maps. Attributes of displayed features are fully queryable via pop-up windows. Additional functionality includes methods to visualise true- and false-color raster images and bounding boxes.

We continue our series of articles about MVP development. Today we would like to tell you about 10 steps to build an MVP in details.

Proven methods and ways from Syndicode's experience are here to improve your development and show you how to speed up MVP development.

The basic architecture concepts I wish I knew when I was getting started as a web developer

Critical features for your website: design and development. When designing a new product we pay a lot of attention to the effectiveness of the web service.

A few days ago Microsoft released a very early version of the new Windows Terminal. The Windows Termi...

Learn best practices for setting up a data science team. I'll cover Scrum methodology, GitHub, Docker, renv, linter, and a variety of other tools.

Shiny's 1.6 has a new function, bindCache(), which makes it easy to dramatically speed up reactive expressions and output rendering functions.

The concept of containerization itself is pretty old. But the emergence of the Docker Engine in 2013 has made it much easier to containerize your applications. According to the Stack Overflow Developer Survey - 2020, Docker is the #1 most wanted platform, #2 most loved platform, and also the #3