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Titlebook: Learn Data Analysis with Python; Lessons in Coding A.J. Henley,Dave Wolf Book 2018 A.J. Henley and Dave Wolf 2018 Python.data.analysis.big

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发表于 2025-3-21 18:47:52 | 显示全部楼层 |阅读模式
书目名称Learn Data Analysis with Python
副标题Lessons in Coding
编辑A.J. Henley,Dave Wolf
视频video
概述A quick and practical hands-on guide to learning and using Python in data analysis.Includes three exercises and one analysis project case study.Learn to visualize data using Python
图书封面Titlebook: Learn Data Analysis with Python; Lessons in Coding A.J. Henley,Dave Wolf Book 2018 A.J. Henley and Dave Wolf 2018 Python.data.analysis.big
描述Get started using Python in data analysis with this compact practical guide. This book includes three exercises and a case study on getting data in and out of Python code in the right format.. Learn Data Analysis with Python. also helps you discover meaning in the data using analysis and shows you how to visualize it.  .Each lesson is, as much as possible, self-contained to allow you to dip in and out of the examples as your needs dictate. If you are already using Python for data analysis, you will find a number of things that you wish you knew how to do in Python. You can then take these techniques and apply them directly to your own projects..If you aren’t using Python for data analysis, this book takes you through the basics at the beginning to give you a solid foundation in the topic. As you work your way through the book you will have a better of idea of how to use Python for data analysis when you are finished..What You Will Learn.Get data into and out of Python code.Prepare the data and its format.Find the meaning of the data.Visualize the data using iPython.Who This Book Is For .Those who want to learn data analysis using Python. Some experience with Python is recommended b
出版日期Book 2018
关键词Python; data; analysis; big data; machine learning; data science; code; learn; program; source; software; appli
版次1
doihttps://doi.org/10.1007/978-1-4842-3486-0
isbn_softcover978-1-4842-3485-3
isbn_ebook978-1-4842-3486-0
copyrightA.J. Henley and Dave Wolf 2018
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发表于 2025-3-21 22:36:49 | 显示全部楼层
Getting Data Into and Out of Python,The first stage of data analysis is getting the data. Moving your data from where you have it stored into your analytical tools and back out again can be a difficult task if you don’t know what you are doing. Python and its libraries try to make it as easy as possible.
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Finding the Meaning,The third stage of data analysis is actually analyzing the data. Finding meaning within your data can be difficult without the right tools. In this section, we look at some of the tools available to the Python user.
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Practice Problems,In this chapter, you will find problems you can use to practice what you have learned. Feel free to use any of the techniques that you have learned, but don’t use them all. It would be overkill. Have fun, and good luck!
发表于 2025-3-22 19:44:23 | 显示全部楼层
A.J. Henley,Dave WolfA quick and practical hands-on guide to learning and using Python in data analysis.Includes three exercises and one analysis project case study.Learn to visualize data using Python
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发表于 2025-3-23 04:31:33 | 显示全部楼层
https://doi.org/10.1007/978-1-4842-3486-0Python; data; analysis; big data; machine learning; data science; code; learn; program; source; software; appli
发表于 2025-3-23 09:12:23 | 显示全部楼层
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