利用 Python 进行数据分析

Hacker News 上怎么说

• dbecker · 2012 年

  ……用于 Web 开发，但我认为 Python 在数据分析和科学计算领域不仅没势头减弱，反而在加速发展。我预计在 Wes McKinney 的《Python for Data Analysis》出版后，用户群体还会增长得更快。

  …for web development, but I think python is gaining momentum rather than losing it for data analysis and scientific programming. I expect that user base will increase even faster after Wes McKinney's "Python for Data Analysis" book is published.

• birken · 2012 年

  ……（http://pandas.pydata.org/）用于数据分析。它提供了很多 R 的基础功能，不过全都是用 Python 写的。pandas 的原作者 Wes McKinney 还专门写了一本书：《Python for Data Analysis》（http://shop.oreilly.com/product/0636920023784.do）。关于数据分析我得提醒一句，统计学绝不仅仅是摆弄数字，要确保……其实挺讲究艺术的。

  …(http://pandas.pydata.org/) for data analysis. It offers a lot of the basic functionality of R, but everything is in python. The original author of pandas, Wes McKinney, even wrote a book about it: Python for Data Analysis (http://shop.oreilly.com/product/0636920023784.do). One caveat I would mention about data analysis would be that statistics is not just number crunching. It is really a bit of an art to making sure…

• jmduke · 2014 年

  所以，这篇文章看来是直接（一字不差地）抄袭了 Wes McKinney 的《Python for Data Analysis》（这绝对是一份极其出色的资料）：http://books.google.com/books?id=JtJAkfzds4wC&lpg=PA46&ots=p... 鉴于本帖的“作者”就是提交者本人，我很想听听怎么解释……

  So, this article appears to be plagiarized directly (as in, word for word) from Wes McKinney's Python for Data Analysis (which is an excellent, excellent resource): http://books.google.com/books?id=JtJAkfzds4wC&lpg=PA46&ots=p... Seeing as the 'author' of this post was the submitter, I'd love to hear an explanation of…

• cgopalan · 2013 年

  如果有人不满足于只懂 Numpy 的皮毛，想深入挖掘它的实际应用，我推荐 Wes McKinney 的《Python for Data Analysis》：http://shop.oreilly.com/product/0636920023784.do 我手头有一本，目前读下来体验极好。第 4 章对 Numpy 做了很棒的介绍（大约 30 页），言简意赅，而且能立马派上用场的……

  For people who are not satisfied with knowing just Numpy and want to delve into its applications, I would recommend Wes McKinney's book "Python for data analysis": http://shop.oreilly.com/product/0636920023784.do I have the book and its been great reading so far. Ch 4 gives a nice introduction to Numpy (about 30 pages). Concise but also useful for immediate…

• Q4273j3b · 2013 年

  ……1. De Veaux、Velleman 与 Bock 写的《Stats: Data and Models》 2. Mosteller 写的《Fifty Challenging Problems in Probability with Solutions》 3. http://yudkowsky.net/rational/bayes 基础数据分析：1. Wes McKinney 写的《Python for Data Analysis》 2. http://camdavidsonpilon.github.io/Probabilistic-Programming-... 3. Tukey 写的《Exploratory Data Analysis》 4. Tufte 写的《The Visual Display of Quantitative Information》 工具：- R……

  …1. _Stats: Data and Models_ by De Veaux, Velleman & Bock 2. _Fifty Challenging Problems in Probability with Solutions_ by Mosteller 3. http://yudkowsky.net/rational/bayes Basic data analysis: 1. _Python for Data Analysis_ by Wes McKinney 2. http://camdavidsonpilon.github.io/Probabilistic-Programming-... 3. _Exploratory Data Analysis_ by Tukey 4. _The Visual Display of Quantitative Information_ by Tufte Tools: - R…

• dwrench07 · 2017 年

  我把它和 Chris Albon 类似的代码速查配方（recipe）仓库（http://shop.oreilly.com/product/0636920023784.do）结合起来用。它是 Wes McKinney 的《Python for Data Analysis》的极佳补充——Wes 的书偏底层机制，而它更像一本实用 recipe 菜谱。另外，JVP 包含的内容不仅限于 Pandas 和 NumPy 的干货。强烈推荐大家 fork 一份，整理成属于自己的精选手册。

  I use this along with Chris Albons similar repo of recipes (http://shop.oreilly.com/product/0636920023784.do). It is a great compliment to Wear McKinney's "Python for Data Analysis" it is more like a recipe book than the internals as Wes' book is. Also, JVP includes more than just Pandas and NumPy goodies. Highly Recommend, and fork to create your own curated handbook.

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