Learning Ceph.pdf Ceph Cookbook.pdf Ceph技能树 学习ceph的神器
2022-01-25 21:58:24 44.52MB Ceph Cookbook.pdf & Learning
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R语言开发。描述R语言中,怎么样画各种各样的图,包括散点图,饼图,柱形图等
2022-01-07 12:39:52 2.62MB R语言
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HLSL Development Cookbook.pdf
2021-12-26 13:40:53 7.79MB HLSL Development Cookbook.pdf
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If you were stranded on a desert island with only your laptop (and presumably a large solar panel), what software would you want to have with you? For me the answer definitely includes the latest version of Wolfram Mathematica. Whether you are a scientist, engineer, or mathematician, a Wall Street quant, a statistician or programmer, or even an artist or musician, you will be a better one if you have this tool at your disposal. Of course, having a tool and knowing how to use it well are quite different things. That is why I wrote the Mathematica Cookbook.
2021-11-06 17:43:43 19.04MB mathematica
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Cisco ACI Cookbook.pdf
2021-10-16 12:45:13 26.69MB cisco aci pdf
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perl cookbook 2nd E文版 22章内容丰富
2021-10-12 19:39:06 3.09MB perl cookbook engilish edition
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本书主要是通过近70个鲜活的使用NumPy进行数据分析的例子来讲述如何使用NumPy进行数据分析和科学计算。numpy是python实现的科学计算包。目前基于python大数据分析基本都是使用NumPy这个工具包完成的,所以如果想从事大数据分析相关工作,学习numPy技术必不可少。本书详细介绍了python下的numPy编程和使用,是一本不可多得的讲述NumPy的书籍。
2021-09-20 17:25:32 5.49MB 大数据 python 智普教育 data
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Vulkan Cookbook(pdf+epub+mobi+code_files).zip
2021-09-05 11:22:42 47.93MB vulkan
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Paperback: 347 pages Publisher: Packt Publishing - ebooks Account (November 2015) Language: English ISBN-10: 1784396400 ISBN-13: 978-1784396404 Over 60 practical recipes to help you explore Python and its robust data science capabilities About This Book The book is packed with simple and concise Python code examples to effectively demonstrate advanced concepts in action Explore concepts such as programming, data mining, data analysis, data visualization, and machine learning using Python Get up to speed on machine learning algorithms with the help of easy-to-follow, insightful recipes Who This Book Is For This book is intended for all levels of Data Science professionals, both students and practitioners, starting from novice to experts. Novices can spend their time in the first five chapters getting themselves acquainted with Data Science. Experts can refer to the chapters starting from 6 to understand how advanced techniques are implemented using Python. People from non-Python backgrounds can also effectively use this book, but it would be helpful if you have some prior basic programming experience.
2021-08-11 18:02:14 7.26MB Python Data Science
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The Matrix Cookbook.pdf
2021-07-19 21:04:29 674KB 英文版
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