Python编程无师自通
作者:[美]科里·奥尔索夫(Cory Althoff)
出版社:人民邮电出版社
ISBN:9787115497109
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Python for Data Analysis-pdf-2017-第二版(完全版) 评分:
根据其他朋友azw3格式转化的pdf格式,或者你可以先下载calibre,再用calibre打开azw3格式的文档。
上传时间:2017-10 大小:9.13MB
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Python for Data Analysis 【2017 第二版】
2017-09-28Title: Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython, 2nd Edition Author: Wes McKinney Length: 550 pages Edition: 2 Language: English Publisher: O'Reilly Media Publication Date: 2017-09-25 ISBN-10: 1491957662 ISBN-13: 9781491957660 Table of Contents Chapter 1 Preliminaries Chapter 2 Python Language Basics, IPython, and Jupyter Notebooks Chapter 3 Built-in Data Structures, Functions, and Files Chapter 4 NumPy Basics: Arrays and Vectorized Computation Chapter 5 Getting Started with pandas Chapter 6 Data Loading, Storage, and File Formats Chapter 7 Data Cleaning and Preparation Chapter 8 Data Wrangling: Join, Combine, and Reshape Chapter 9 Plotting and Visualization Chapter 10 Data Aggregation and Group Operations Chapter 11 Interlude: Data Analysis Examples Chapter 12 Time Series Chapter 13 Advanced NumPy Chapter 14 Using Modeling Libraries with pandas Chapter 15 Examples Data Sets Appendix Advanced IPython and Jupyter
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Python for Data Analysis(2nd) 无水印pdf
2017-10-04Python for Data Analysis(2nd) 英文无水印pdf 第2版 pdf所有页面使用FoxitReader和PDF-XChangeViewer测试都可以打开 本资源转载自网络,如有侵权,请联系上传者或csdn删除 本资源转载自网络,如有侵权,请联系上传者或csdn删除
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Python for Data Analysis, 2nd Edition 英文原版,(另上传了中文文字版)
2018-11-06本书是2017年10月20号正式出版的,和第1版的不同之处有: 包括Python教程内的所有代码升级为Python 3.6(第1版使用的是Python 2.7) 更新了Anaconda和其它包的Python安装方法 更新了Pandas为2017最新版 新增了一章,关于更高级的Pandas工具,外加一些tips 简要介绍了使用StatsModels和scikit-learn 对有些内容进行了重新排版。(译者注1:最大的改变是把第1版附录中的Python教程,单列成了现在的第2章和第3章,并且进行了扩充。可以说,本书第2版对新手更为友好了!) (译者注2:毫无疑问,本书是学习Python数据分析最好的参考书(另一本不错的是《Pandas Cookbook》)。本来想把书名直接译为《Python数据分析》,这样更简短。但是为了尊重第1版的翻译,考虑到继承性,还是用老书名。这样读过第一版的老读者可以方便的用之前的书名检索到第二版。作者在写第二版的时候,有些文字是照搬第一版的。所以第二版的翻译也借鉴copy了第一版翻译:即,如果第二版中有和第一版相同的文字,则copy第一版的中文译本,觉得不妥的地方会稍加修改,剩下的不同的内容就自己翻译。这样做也是为读过第一版的老读者考虑——相同的内容可以直接跳过。)
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Python for Data Analysis 第二版
2018-06-13This book is here to help you get your job done. In general, you may use the code in this book in your programs and documentation. You do not need to contact us for permission unless you’re reproducing a significant portion of the code. For example, writing a program that uses several chunks of code from this book does not require permission. Selling or distributing a CD-ROM of examples from O’Reilly books does require permission. Answering a question by citing this book and quoting example code does not require permission. Incorporating a significant amount of example code from this book into your product’s documentation does require permission
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python数据分析 第二版 python for data analysis
2017-12-06python数据分析的第二版,英文原版,pandas作者写的,非常高清。相比于第一版,其中详细介绍了pandas,numpy,等现代数据处理Python库。很值得学习!
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2017-04-11Python for Data Analysis ---python数据分析,英文版
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2018-11-11Python for Data Analysis-带书签目录超清文字版英文版 这个是带完整目录书签的文字版本,文本内容可以复制的哦
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2019-05-15面向大数据分析经典入门教程,Python for Data Analysis, 2nd Edition
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2017-10-18利用Python进行数据分析 第二版 英文原版PDF 非扫描 完整 清晰
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2013-06-30Python for Data Analysis 2013 pdf is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you’ll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.
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2019-03-03Data manipulation and complex data analysis with Python.
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Python Data Analytics 无水印pdf 0分
2015-12-21Paperback: 364 pages Publisher: Apress; 1 edition (August 21, 2015) Language: English ISBN-10: 1484209591 ISBN-13: 978-1484209592 Python Data Analytics will help you tackle the world of data acquisition and analysis using the power of the Python language. At the heart of this book lies the coverage of pandas, an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language. Author Fabio Nelli expertly shows the strength of the Python programming language when applied to processing, managing and retrieving information. Inside, you will see how intuitive and flexible it is to discover and communicate meaningful patterns of data using Python scripts, reporting systems, and data export. This book examines how to go about obtaining, processing, storing, managing and analyzing data using the Python programming language. You will use Python and other open source tools to wrangle data and tease out interesting and important trends in that data that will allow you to predict future patterns. Whether you are dealing with sales data, investment data (stocks, bonds, etc.), medical data, web page usage, or any other type of data set, Python can be used to interpret, analyze, and glean information from a pile of numbers and statistics. This book is an invaluable reference with its examples of storing and accessing data in a database; it walks you through the process of report generation; it provides three real world case studies or examples that you can take with you for your everyday analysis needs.
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2014-12-232014年10月出版的,介绍Python在数据分析应用领域的最新书籍(英文PDF版)。
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