The most common usecase is when a you want to give the user the possibility to choose columns. It can be configured though a config file or UI. Also it's pretty easy to create your own type of data (e ...

A professional, web-based application designed specifically for handling and analyzing large CSV and text files that are too massive for conventional spreadsheet software. Built with Python and Flask, ...

Explore effective solutions for common performance issues in pandas workflows, utilizing both CPU optimizations and GPU accelerations, according to NVIDIA. Slow data loads and memory-intensive ...

Abstract: Multi-class part parsing is a dense prediction task that segments objects into semantic components with multi-level abstractions. Despite its significance, this task remains challenging due ...

For decades, visualization was the final stop on the data journey. It was optional—"good to have" on top of data analytics. Analysts would gather numbers, then clean and process, and only at the end ...

1 Shanghai Key Laboratory of Trustworthy Computing, East China Normal University, Shanghai, China. 2 School of Computer Science and Engineering, Guangzhou Institute of Technology, Guangzhou, China. 3 ...