Jesse Daniel Data Science at Scale with Python and Dask (Paperback)

Description: Further DetailsTitle: Data Science at Scale with Python and DaskCondition: NewEAN: 9781617295607ISBN: 9781617295607Publisher: Manning PublicationsFormat: PaperbackRelease Date: 10/11/2019Item Height: 235mmItem Length: 190mmItem Width: 20mmItem Weight: 553gLanguage: EnglishISBN-10: 1617295604Description: Large datasets tend to be distributed, non-uniform, and prone to change. Dask simplifies the process of ingesting, filtering, and transforming data, reducing or eliminating the need for a heavyweight framework like Spark. Data Science at Scale with Python and Dask teaches readers how to build distributed data projects that can handle huge amounts of data. The book introduces Dask Data Frames and teaches helpful code patterns to streamline the reader’s analysis. Key Features Working with large structured datasets Writing DataFrames Cleaningand visualizing DataFrames Machine learning with Dask-ML Working with Bags and Arrays Written for data engineers and scientists with experience using Python. Knowledge of the PyData stack (Pandas, NumPy, and Scikit-learn) will be helpful. No experience with low-level parallelism is required. About the technology Dask is a self-contained, easily extendible library designed to query, stream, filter, and consolidate huge datasets. Jesse Daniel has five years of experience writing applications in Python, including three years working with in the PyData stack (Pandas, NumPy, SciPy, Scikit-Learn). Jesse joined the faculty of the University of Denver in 2016 as an adjunct professor of business information and analytics, where he currently teaches a Python for Data Science course.Country/Region of Manufacture: USAuthor: Jesse DanielGenre: Computing & InternetRelease Year: 2019 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.

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