Mastering Large Datasets: Parallelize and Distribute Your Python Code
Wolohan, J. T.
- 出版商: Manning
- 出版日期: 2020-01-21
- 定價: $1,550
- 售價: 9.5 折 $1,473
- 語言: 英文
- 頁數: 296
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1617296236
- ISBN-13: 9781617296239
深入大型數據集：並行與分佈化 Python 代碼 (Mastering Large Datasets: Parallelize and Distribute Your Python Code) (簡中版)
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
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
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.