Build data analysis workflows visually, with a large, diverse toolbox. Orange red blood you going to ask about dask? A brief glimpse into the future of Orange and how we can effectively process large datasets with dask.

And Orange is great at that. The scientific community is in need of tools that allow easy construction of workflows and visualizations and are capable of analyzing large amounts of data. Orange is a powerful platform to perform data analysis and visualization, see data flow and become more productive. It provides a clean, open source platform and the possibility to add further functionality for all fields of science. I teach Orange workshops monthly to a diverse audience, from undergrad students to expert researchers. Orange is very intuitive, and, by the end of the workshop, the participants are able to perform complex data visualization and basic machine learning analyses. Most of our attendees have been able to incorporate this tool in their research practice.

My laboratory produces large amounts of data from RNA-seq, ChIP-seq and genome resequencing experiments. Orange allows me to analyze my data even though I don’t know how to program. It also allows me to communicate with my collaborators, who are experts in data mining, and with my colleagues and trainees. Ak chyba pretrváva napíšte nám o tom na kontakt. Prevádzkovateľ stránok Ringier Axel Springer SK, a.

V prípade pretrvávavajúcich technických problémov pri načítaní stránok nás prosím kontaktujte. On this Wikipedia the language links are at the top of the page across from the article title. Look up Orange or orange in Wiktionary, the free dictionary. Wikiquote has quotations related to Orange.