Book

Data science with Python and Dask

Daniel, Jesse C., author

Overview

An efficient data pipeline means everything for the success of a data science project. Dask is a flexible library for parallel computing in Python that makes it easy to build intuitive workflows for ingesting and analyzing large, distributed datasets. Dask provides dynamic task scheduling and parallel collections that extend the functionality of NumPy, Pandas, and Scikit-learn, enabling users to scale their code from a single laptop to a cluster of hundreds of machines with ease. \"Data science with Python and Dask\" teaches you to build scalable projects that can handle massive datasets. After meeting the Dask framework, you'll analyze data in the nYC Parking Ticket database and use DataFrames to streamline your process. Then, you'll create machine learning models using Dask-ML, build interactive visualizations, and build clusters using AWS and Docker.

• Publisher: Manning Publications Co.
• Subject: Big data. / Machine learning. / Python (Computer program language) / Information storage and retrieval systems Scalability. / Data mining.
• ISBN: 9781617295607, 1617295604

Item info:

1 item available

1 item total in all locations

Holdings :

Call Number	Copies	Material	Location
QA76.9.B45 D36 2019	1	BOOK	AUTOSTORE