Description: Parallel Python with Dask by Tim Peters Unlock the Power of Parallel Python with Dask: A Perfect Learning Guide for Aspiring Data ScientistsDask has revolutionized parallel computing for Python, empowering data scientists to accelerate their workflows. This comprehensive guide unravels the intricacies of Dask to help you harness its capabilities for machine learning and data analysis.Across 10 chapters, youll master Dasks fundamentals, architecture, and integration with Pythons scientific computing ecosystem. Step-by-step tutorials demonstrate parallel mapping, task scheduling, and leveraging Dask arrays for NumPy workloads. Youll discover how Dask seamlessly scales Pandas, Scikit-Learn, PyTorch, and other libraries for large datasets.Dedicated chapters explore scaling regression, classification, hyperparameter tuning, feature engineering, and more with clear examples. Youll also learn to tap into the power of GPUs with Dask, RAPIDS, and Google JAX for orders of magnitude speedups.This book places special emphasis on practical use cases related to scalability and distributed computing. Youll learn Dask patterns for cluster computing, managing resources efficiently, and robust data pipelines. The advanced chapters on DaskML and deep learning showcase how to build scalable models with PyTorch and TensorFlow.With this book, youll gain practical skills to: Accelerate Python workloads with parallel mapping and task schedulingSpeed up NumPy, Pandas, Scikit-Learn, PyTorch, and other librariesBuild scalable machine learning pipelines for large datasetsLeverage GPUs efficiently via Dask, RAPIDS and JAXManage Dask clusters and workflows for distributed computingStreamline deep learning models with DaskML and DL frameworksPacked with hands-on examples and expert insights, this book provides the complete toolkit to harness Dasks capabilities. It will empower Python programmers, data scientists, and machine learning engineers to achieve faster workflows and operationalize parallel computing.Table of ContentIntroduction to DaskDask FundamentalsBatch Data Parallel Processing with DaskDistributed Systems and DaskAdvanced Dask: APIs and Building BlocksDask with PandasDask with Scikit-learnDask and PyTorchDask with GPUsScaling Machine Learning Projects with Dask FORMAT Paperback CONDITION Brand New Details ISBN8119177657 Author Tim Peters Pages 174 Publisher Gitforgits Year 2023 ISBN-13 9788119177653 Format Paperback Publication Date 2023-10-19 Imprint Gitforgits Subtitle Perform distributed computing, concurrent programming and manage large dataset Audience General We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:159572501;
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