Powerful, extensible, and feature-packed frontend toolkit. Build and customize with Sass, utilize prebuilt grid system and components, and bring projects to life with powerful JavaScript plugins.| fireducks-dev.github.io
Research says that Data scientists spend about 45% of their time on data preparation tasks, including loading (19%) and cleaning (26%) the data. Pandas is one of the most popular python libraries for tabular data processing because of its diverse utilities and large community support. However, due to its performance issue with the large-scale data processing, there is a strong need for high-performance data frame libraries for the community. Although there are many alternatives available at t...| fireducks-dev.github.io
Recently we have updated the result of polars-tpch benchmark on 4th generation Xeon processor. The latest result can be found here, and also below in this artice, explaining how to reproduce the same. For reproducibility, we have used AWS EC2 for this time evaluation. We have used m7i.8xlarge instance type with ubuntu 24.04 image and 128GB EBS SSD. This instance includes: 4th generation Xeon processor: Intel(R) Xeon(R) Platinum 8488C (32cores) 128GB memory Benchmark Result The graph shown bel...| fireducks-dev.github.io