Python Data Science Handbook by Jake VanderPlas Publisher: O'Reilly Media 2016ISBN/ASIN: 1491912057Number of pages: 548 Description:The book introduces the core libraries essential for working with data in Pyt
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all IPython, ...
Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all-IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and ... (展开全部) 作者简介 ··· Jake VanderPlas...
No. 9 Python Data Science Handbook: Essential Tools for Working with Data 中文版: 广告 Python数据科学手册(图灵出品) 京东 ¥91.30 去购买 简介:该书适合有一定编程基础,并计划将Python当成数据分析、处理和可视化主力工具的人员。 通过IPython、NumPy、pandas、sciki-learn和matplotlib 五大常用数据分析库的...
Python Data Science Handbook 2025 pdf epub mobi 电子书 著者简介 Jake VanderPlas,Python科学栈深度用户和开发者,尤其擅长Python科学计算和数据可视化,是altair等可视化程序库的创建人,并为Scikit-Learn、IPython等Python程序库做了大量贡献。现任美国华盛顿大学eScience学院物理科学研究院院长。 Python Data Science Hand...
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作者:Jake VanderPlas 出版社:O'Reilly Media, Inc, USA 出版时间:2016-00-00 印刷时间:0000-00-00 页数:548 ISBN:9781491912058 ,购买现货 Python Data Science Handbook 英文原版 Python 数据科学手册 杰克万托布拉斯 (Jake VanderPlas)等语言文字相关商品,欢迎您
当当网图书频道在线销售正版《Python数据科学手册 第2版(Python Data Science Handbook 影印版)》,作者:(美)杰克·万托布拉斯,出版社:东南大学出版社。最新《Python数据科学手册 第2版(Python Data Science Handbook 影印版)》简介、书评、试读、价格、图片等相关
【PDF&Epub】Python Data Science Handbook——Python 数据科学手册(2023最新版本) 中译:《Python 数据科学手册:处理数据的基本工具》作者:Jake VanderPlas出版商:O'Reilly Media,年份:2023书号:1098121228,9781098121228Python 是许多研究人员的一流工具,主要是因为它的库用于存储、操作和从数据中获取洞察力。此数据科学...
Python Data Science Handbook This repository contains the entirePython Data Science Handbook, in the form of (free!) Jupyter notebooks. How to Use this Book About The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all case...