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简介
Data Science with Python and Dask 豆 0.0分
资源最后更新于 2020-08-19 16:12:46
作者:Jesse Daniel
出版社:Manning Publications
出版日期:2019-01
ISBN:9781617295607
文件格式: pdf
标签: Python 计算机 软件工程 计算机科学 机器学习 数据分析 AI 2019
简介· · · · · ·
Summary
Dask is a native parallel analytics tool designed to integrate seamlessly with the libraries you're already using, including Pandas, NumPy, and Scikit-Learn. With Dask you can crunch and work with huge datasets, using the tools you already have. And Data Science with Python and Dask is your guide to using Dask for your data projects without changing the way you work!
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目录
Table of Contents
PART 1 - The Building Blocks of scalable computing
Why scalable computing matters
Introducing Dask
PART 2 - Working with Structured Data using Dask DataFrames
Introducing Dask DataFrames
Loading data into DataFrames
Cleaning and transforming DataFrames
Summarizing and analyzing DataFrames
Visualizing DataFrames with Seaborn
Visualizing location data with Datashader
PART 3 - Extending and deploying Dask
Working with Bags and Arrays
Machine learning with Dask-ML
Scaling and deploying Dask
PART 1 - The Building Blocks of scalable computing
Why scalable computing matters
Introducing Dask
PART 2 - Working with Structured Data using Dask DataFrames
Introducing Dask DataFrames
Loading data into DataFrames
Cleaning and transforming DataFrames
Summarizing and analyzing DataFrames
Visualizing DataFrames with Seaborn
Visualizing location data with Datashader
PART 3 - Extending and deploying Dask
Working with Bags and Arrays
Machine learning with Dask-ML
Scaling and deploying Dask