{"product_id":"data-science-at-scale-with-python-and-dask-9781617295607","title":"Data Science at Scale with Python and Dask","description":"\u003cp\u003e • Author(s): Jesse C. Daniel\u003cbr\u003e • Publisher: Manning Publications\u003cbr\u003e • Publisher Imprint: Manning Publications\u003cbr\u003e • BISAC: Computer Science\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eLarge 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. \u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003ci\u003eData Science at Scale with Python and Dask\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eKey Features\u003c\/b\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eWorking with large structured datasets \u003c\/li\u003e \u003cli\u003eWriting DataFrames \u003c\/li\u003e \u003cli\u003eCleaningand visualizing DataFrames \u003c\/li\u003e \u003cli\u003eMachine learning with Dask-ML \u003c\/li\u003e \u003cli\u003eWorking with Bags and Arrays\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003eWritten 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.\u003c\/p\u003e \u003cp\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003eAbout the technology \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDask is a self-contained, easily extendible library designed to query, stream, filter, and consolidate huge datasets.\u003c\/p\u003e \u003cp\u003e\u003cb\u003e \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eJesse Daniel\u003c\/b\u003e 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.\u003c\/p\u003e","brand":"Manning Publications","offers":[{"title":"Paperback","offer_id":45033172402327,"sku":"9781617295607","price":5166.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9781617295607.webp?v=1769209135","url":"https:\/\/atlanticbooks.com\/products\/data-science-at-scale-with-python-and-dask-9781617295607","provider":"Atlantic Books","version":"1.0","type":"link"}