The adoption of Shiny, the R package for building interactive web applications, is growing. As a leader in R Shiny development for enterprises, we’re asking you, fellow users of R and Shiny, to discuss the current state of Shiny in 2023 and its outlook for the future. We would like ...

Intermediate SQL for Data Science Running data queries in the database can offer significant speed improvements over doing so in R or Python. There’s no need to drag the entire dataset to memory and run the calculations once the loading completes. The runtime differences can be drastic, depending on ...

Intermediate SQL for Data Science Running data queries in the database can offer significant speed improvements over doing so in R or Python. There’s no need to drag the entire dataset to memory and run the calculations once the loading completes. The runtime differences can be drastic, depending on ...

Pandas vs. dplyr Updated: March 9, 2022. Python vs. R? Pandas vs. dplyr? It’s difficult to find the ultimate go-to library for data analysis. Both R and Python provide excellent options, so the question quickly becomes “which data analysis library is the most convenient”. Today’s article aims to answer this ...

Become an Appsilonian Do you want to work with global leaders in R and R Shiny? As it turns out, you can – from anywhere around the world. We have exciting projects with multiple Fortune 500 companies coming up in 2021, and we want you to be involved! We’re hiring for 10+ remote ...

Mark your calendars! Join Appsilon at the Why R? Conference on Thursday, November 12th @ 8PM UTC+1 / 2PM EST for two talks by Appsilonians. We will discuss wildlife preservation with computer vision and scaling Shiny apps on a budget. You can find the meetup link here and a direct link to ...

Introduction to PP-YOLO PP-YOLO (or PaddlePaddle YOLO) is a machine learning object detection framework based on the YOLO (You Only Look Once) object detection algorithm. PP-YOLO is not a new kind of object detection framework. Rather, PP-YOLO is a modified version of YOLOv4 with an improved inference speed and mAP ...