Mastering Large Datasets: Parallelize and Distribute Your Python Code by John T.

Description: FREE SHIPPING UK WIDE Mastering Large Datasets by John T. Wolohan With an emphasis on clarity, style, and performance, author J.T. Wolohan expertly guides you through implementing a functionally-influenced approach to Python coding. Youll get familiar with Pythons functional built-ins like the functools operator and itertools modules, as well as the toolz library. Mastering Large Datasets teaches you to write easily readable, easily scalable Python code that can efficiently process large volumes of structured and unstructured data. By the end of this comprehensive guide, youll have a solid grasp on the tools and methods that will take your code beyond the laptop and your data science career to the next level!Key features• An introduction to functional and parallel programming • Data science workflow • Profiling code for better performance • Fulfilling different quality objectives for a single unifying task • Python multiprocessing • Practical exercises including full-scale distributed applicationsAudienceReaders should have intermediate Python programming skills.About the technologyPython is a data scientists dream-come-true, thanks to readily available libraries that support tasks like data analysis, machine learning, visualization, and numerical computing. J.T. Wolohan is a lead data scientist at Booz Allen Hamilton and a PhD researcher at Indiana University, Bloomington, affiliated with the Department of Information and Library Science and the School of Informatics and Computing. His professional work focuses on rapid prototyping and scalable AI. His research focuses on computational analysis of social uses of language online. FORMAT Paperback LANGUAGE English CONDITION Brand New Author Biography J.T. Wolohan is a lead data scientist at Booz Allen Hamilton and a PhD researcher at Indiana University, Bloomington, affiliated with the Department of Information and Library Science and the School of Informatics and Computing. His professional work focuses on rapid prototyping and scalable AI. His research focuses on computational analysis of social uses of language online. Long Description With an emphasis on clarity, style, and performance, author J.T. Wolohan expertly guides you through implementing a functionally-influenced approach to Python coding. Youll get familiar with Pythons functional built-ins like the functools operator and itertools modules, as well as the toolz library. Mastering Large Datasets teaches you to write easily readable, easily scalable Python code that can efficiently process large volumes of structured and unstructured data. By the end of this comprehensive guide, youll have a solid grasp on the tools and methods that will take your code beyond the laptop and your data science career to the next level! Key features * An introduction to functional and parallel programming * Data science workflow * Profiling code for better performance * Fulfilling different quality objectives for a single unifying task * Python multiprocessing * Practical exercises including full-scale distributed applications Audience Readers should have intermediate Python programming skills. About the technology Python is a data scientists dream-come-true, thanks to readily available libraries that support tasks like data analysis, machine learning, visualization, and numerical computing. J.T. Wolohan is a lead data scientist at Booz Allen Hamilton and a PhD researcher at Indiana University, Bloomington, affiliated with the Department of Information and Library Science and the School of Informatics and Computing. His professional work focuses on rapid prototyping and scalable AI. His research focuses on computational analysis of social uses of language online. Details ISBN1617296236 Author John T. Wolohan Publisher Manning Publications Year 2020 ISBN-10 1617296236 ISBN-13 9781617296239 Publication Date 2020-03-30 Short Title Mastering Large Datasets with Python Language English Format Paperback Subtitle Parallelize and Distribute Your Python Code Pages 312 UK Release Date 2020-03-30 Imprint Manning Publications Place of Publication New York Country of Publication United States AU Release Date 2020-03-30 NZ Release Date 2020-03-30 US Release Date 2020-03-30 DEWEY 006.312 Audience General Illustrations Illustrations 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! 30 DAY RETURN POLICY No questions asked, 30 day returns! FREE DELIVERY No matter where you are in the UK, delivery is free. SECURE PAYMENT Peace of mind by paying through PayPal and eBay Buyer Protection TheNile_Item_ID:148030989;

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