{"product_id":"parallel-python-with-dask-perform-distributed-computing-concurrent-programming-and-manage-large-dataset-paperback","title":"Parallel Python with Dask: Perform distributed computing, concurrent programming and manage large dataset - Paperback","description":"\u003cp\u003eby \u003cb\u003eTim Peters\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003eUnlock the Power of Parallel Python with Dask: A Perfect Learning Guide for Aspiring Data Scientists\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eDask 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.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAcross 10 chapters, you'll master Dask's fundamentals, architecture, and integration with Python's scientific computing ecosystem.\u003c\/strong\u003e \u003cstrong\u003eStep-by-step tutorials demonstrate parallel mapping, task scheduling, and leveraging Dask arrays for NumPy workloads.\u003c\/strong\u003e \u003cstrong\u003eYou'll discover how Dask seamlessly scales Pandas, Scikit-Learn, PyTorch, and other libraries for large datasets.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eDedicated chapters explore scaling regression, classification, hyperparameter tuning, feature engineering, and more with clear examples.\u003cstrong\u003e You'll also learn to tap into the power of GPUs with Dask, RAPIDS, and Google JAX for orders of magnitude speedups.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis book places special emphasis on practical use cases related to scalability and distributed computing. \u003cstrong\u003eYou'll 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.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eWith this book, you'll gain practical skills to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cstrong\u003eAccelerate Python workloads with parallel mapping and task scheduling\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eSpeed up NumPy, Pandas, Scikit-Learn, PyTorch, and other libraries\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eBuild scalable machine learning pipelines for large datasets\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eLeverage GPUs efficiently via Dask, RAPIDS and JAX\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eManage Dask clusters and workflows for distributed computing\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cstrong\u003eStreamline deep learning models with DaskML and DL frameworks\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003ePacked with hands-on examples and expert insights, this book provides the complete toolkit to harness Dask's capabilities. It will empower Python programmers, data scientists, and machine learning engineers to achieve faster workflows and operationalize parallel computing.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003eTable of Content\u003col\u003e\n\u003cli\u003eIntroduction to Dask\u003c\/li\u003e\n\u003cli\u003eDask Fundamentals\u003c\/li\u003e\n\u003cli\u003eBatch Data Parallel Processing with Dask\u003c\/li\u003e\n\u003cli\u003eDistributed Systems and Dask\u003c\/li\u003e\n\u003cli\u003eAdvanced Dask: APIs and Building Blocks\u003c\/li\u003e\n\u003cli\u003eDask with Pandas\u003c\/li\u003e\n\u003cli\u003eDask with Scikit-learn\u003c\/li\u003e\n\u003cli\u003eDask and PyTorch\u003c\/li\u003e\n\u003cli\u003eDask with GPUs\u003c\/li\u003e\n\u003cli\u003eScaling Machine Learning Projects with Dask\u003c\/li\u003e\n\u003c\/ol\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 174\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.37 x 9.25 x 7.5 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 19, 2023\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51754845077792,"sku":"9788119177653","price":64.78,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/24c113d534493aa202a5345698197455.webp?v=1780044867","url":"https:\/\/ebocreations.com\/products\/parallel-python-with-dask-perform-distributed-computing-concurrent-programming-and-manage-large-dataset-paperback","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}