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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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發(fā)表于 2025-3-21 18:47:52 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Learn Data Analysis with Python
副標(biāo)題Lessons in Coding
編輯A.J. Henley,Dave Wolf
視頻videohttp://file.papertrans.cn/583/582575/582575.mp4
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
圖書封面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
關(guān)鍵詞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
The information of publication is updating

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發(fā)表于 2025-3-21 22:36:49 | 只看該作者
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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發(fā)表于 2025-3-22 04:00:26 | 只看該作者
地板
發(fā)表于 2025-3-22 06:00:54 | 只看該作者
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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發(fā)表于 2025-3-22 10:33:00 | 只看該作者
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發(fā)表于 2025-3-22 15:18:15 | 只看該作者
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!
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發(fā)表于 2025-3-22 19:44:23 | 只看該作者
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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發(fā)表于 2025-3-23 00:20:26 | 只看該作者
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發(fā)表于 2025-3-23 04:31:33 | 只看該作者
https://doi.org/10.1007/978-1-4842-3486-0Python; data; analysis; big data; machine learning; data science; code; learn; program; source; software; appli
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發(fā)表于 2025-3-23 09:12:23 | 只看該作者
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