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.
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!
發表於2024-12-23
Mastering Large Datasets 2024 pdf epub mobi 電子書 下載
圖書標籤: 分布式 Python 2020 軟件工程 Methodology
就還是有點淺,兩三小時就刷完瞭。
評分就還是有點淺,兩三小時就刷完瞭。
評分part1講parallel andl laziness in python講得非常深入淺齣,但後麵講hadoop和spark就有點虎頭蛇尾的感覺瞭, 假如是為瞭看一看具體的mapreduce架構的實現最好不要看這本, 但是假如是想具體瞭解大數據的思路和一些最基本的trade off還是值得讀的
評分就還是有點淺,兩三小時就刷完瞭。
評分part1講parallel andl laziness in python講得非常深入淺齣,但後麵講hadoop和spark就有點虎頭蛇尾的感覺瞭, 假如是為瞭看一看具體的mapreduce架構的實現最好不要看這本, 但是假如是想具體瞭解大數據的思路和一些最基本的trade off還是值得讀的
Mastering Large Datasets 2024 pdf epub mobi 電子書 下載