适用于Python的Pandas数据科学备忘单

This post originally appeared on the DataCamp blog. Big thanks to Karlijn and all the fine folks at DataCamp for letting us share with the Yhat audience!

该帖子最初出现在DataCamp博客上 。 非常感谢Karlijn和DataCamp的所有优秀人士，让我们与Yhat的读者分享！

熊猫图书馆 (Pandas library)

The Pandas library is one of the most preferred tools for data scientists to do data manipulation and analysis, next to matplotlib for data visualization and NumPy, the fundamental library for scientific computing in Python on which Pandas was built.

Pandas库是数据科学家进行数据处理和分析的首选工具之一，仅次于用于数据可视化的matplotlib和NumPy，后者是在Pandas上构建的Python科学计算基础库。

The fast, flexible, and expressive Pandas data structures are designed to make real-world data analysis significantly easier, but this might not be immediately the case for those who are just getting started with it. Exactly because there is so much functionality built into this package that the options are overwhelming.

快速，灵活和富于表现力的Pandas数据结构旨在使现实世界中的数据分析变得更加容易，但是对于刚开始使用Pandas的人而言，情况可能并非立即如此。 恰恰是因为此程序包内置了太多功能，所以选项不胜枚举。

That’s where this cheat sheet might come in handy.

这就是该备忘单可能派上用场的地方。

It’s a quick guide through the basics of Pandas that you will need to get started on wrangling your data with Python.

这是有关Pandas基础的快速指南，您将需要开始使用Python处理数据。

As such, you can use it as a quick reference if you are just beginning their data science journey with Pandas or, for those of you who already haven’t started yet, you can just use it as a guide to make it easier to learn about and use it.

因此，如果您刚刚开始与Pandas进行数据科学之旅，则可以将其用作快速参考；对于尚未开始使用Pandas的人们，可以将其用作指导，以使其更容易学习。关于并使用它。

The cheat sheet will guide you through the basics of Pandas, going from the data structures to I/O, selection, dropping indices or columns, sorting and ranking, retrieving basic information of the data structures you’re working with to applying functions and data alignment.

该备忘单将指导您学习Pandas的基础知识，从数据结构到I / O，选择，删除索引或列，排序和排序，检索正在使用的数据结构的基本信息以应用功能和数据。对准。

In short, everything that you need to kickstart your data science learning with Python!

简而言之，使用Python启动数据科学学习所需的一切！

Rodeo IDE (Rodeo IDE)

Speaking of wrangling data in Python, be sure to try out Yhat’s own Python IDE, Rodeo.

说到Python中的数据争用，一定要尝试使用Yhat自己的Python IDE Rodeo。

Have you ever seen pandas at a rodeo before?!

您以前看过牛仔竞技表演的大熊猫吗？

Here’s a quick video overview of the most recent release notes. We recently added a movable terminal, block style execution, and .deb and .rpm support and the feedback from y’all has been awesome.

这是最新发行说明的快速视频概述。 我们最近添加了一个可移动的终端，块样式执行以及.deb和.rpm支持，并且来自所有人的反馈都很棒。

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You can download Rodeo for Windows, Mac or Linux here!

您可以在此处下载适用于Windows，Mac或Linux的Rodeo！

更多资源 (More Resources)