Mastering Large Datasets with Python : Parallelize and Distribute Your Python Code
Language: English
Published by Manning Publications Jan 2020, 2020
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Add to basketItem description from seller
Neuware - With an emphasis on clarity, style, and performance, author J.T. Wolohan expertly guides you through implementing a functionally-influenced approach to Python coding. You'll get familiar with Python's functional built-ins like the functools operator and itertools modules, as well as the tools 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, you'll 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 scientist's dream-come-true, thanks to readily available libraries that support tasks like data analysis, machine learning, visualization, and numerical computing.…
Seller Inventory # 9781617296239
- Title
- Mastering Large Datasets with Python : Parallelize and Distribute Your Python Code
- Author
- John T Wolohan
- Publisher
- Manning Publications Jan 2020
- Publication year
- 2020
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 1617296236
- ISBN 13
- 9781617296239
- Item weight
- 525 grams
- Dimensions
- 233x190x20 mm
With an emphasis on clarity, style, and performance, author J.T. Wolohan expertly guides you through implementing a functionally-influenced approach to Python coding. You’ll get familiar with Python’s 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, you’ll 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 scientist’s 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.
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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