Jesse Daniel: High-performance data analysis using Python and Dask

This book leads us from the history of data that has been used to distribute the task of using the mask to the journey along the normal course of data science. We first learn about the extended computing and how the disc is used. The process of preparing and modeling a variety of actual data sets is then provided as a practical example of how to do normal data science with the disc. Finally, we introduce the process of spreading the analytic code by distributing our own taskcclusters to AWS. The main target reader is a super-level data scientist or data engineer. It's especially useful if you haven't experienced the data yet that's the size of the machine that'll be out of reach. If you've ever been to Pis Park and other distributed frameworks, it's also helpful to compare the features and efficiency of the taskman.

Korean title: 파이썬과 대스크를 활용한 고성능 데이터 분석

Korean author: 제시 대니얼

Korean publisher: 한빛미디어

ISBN-13: 9791162243305