为什么Spyder是适用于科学的最佳Python IDE
Spyder is the best IDE that I have tested so far for doing data analysis, but also for plain programming. In this post I will start to briefly describe the IDE. Following the description of this top IDE the text will continue with a discussion of my favourite features. You will also find out how to install Spyder on Ubuntu 14.04 and at the end of the post you will find a comparison of Rodeo (a newer IDE more RStudio like) and Spyder.
到目前为止， Spyder是我测试过的最好的IDE ，既可以进行数据分析，又可以进行简单编程。 在本文中，我将开始简要描述IDE。 在此顶级IDE的描述之后，本文将继续讨论我最喜欢的功能。 您还将发现如何在Ubuntu 14.04上安装Spyder，并在文章结尾找到了Rodeo（一种新的IDE，更像RStudio）和Spyder的比较。
When I started programming in Python I used IDLE which is the IDE that you will get with your installation of Python (e.g., on Windows computers). I actually used IDLE IDE for some time. It was not until I started to learn R and found RStudio IDE. I thought that RStudio was great (and it still is!). However, after learning R and RStudio I started to look for a better Python IDE.
当我开始使用Python进行编程时，我使用了IDLE（即在安装Python（例如，在Windows计算机上）时将获得的IDE）。 我实际上使用IDLE IDE已有一段时间。 直到我开始学习R并找到RStudio IDE为止。 我认为RStudio很棒（现在仍然如此！）。 但是，在学习R和RStudio之后，我开始寻找更好的Python IDE。
There are, of course, other IDEs. Personally, I used Ninja-IDE for a while but I quite quickly found Spyder IDE better. Spyder is an acronym for “Scientific PYthon Development EnviRonment”. The IDE create a MATLAB-like development environment but, as previously mentioned, it is also quite similar to RStudio. Great, for people with experience of both RStudio and MATLAB!
当然，还有其他IDE。 我个人使用Ninja-IDE已有一段时间，但是很快我发现Spyder IDE 更好 。 Spyder是“科学Python开发环境”的首字母缩写。 IDE创建了类似MATLAB的开发环境，但是，如前所述，它也与RStudio非常相似。 太好了，适合拥有RStudio和MATLAB经验的人！
In fact, Python with the right IDE may be a free open source alternative to MATLAB (e.g., Spyder). Last time I used Matlab was 2011 and I don’t have a working installation on any computer. Moreover, a Spyder (Python) vs. MATLAB comparison is out of the scope for this post.
实际上，具有正确IDE的Python可能是MATLAB（例如Spyder）的免费开源替代品。 我上次使用Matlab的时间是2011年，但是我在任何计算机上都无法正常安装。 而且，Spyder（Python）与MATLAB的比较不在本文讨论范围之内。
为什么我认为Spyder是适用于Python的最佳IDE？ (Why do I think Spyder is the best IDE for Python?)
Well, I really like working with RStudio. One of my favourite features of RStudio is that it easy to find help for a package or a function (i.e., type “help(function)”in the console). Spyder has the “Object inspector” (see image below) in which you can search for documentation for a class, function or module.
好吧，我真的很喜欢使用RStudio。 RStudio我最喜欢的功能之一是可以轻松找到软件包或功能的帮助（即，在控制台中键入“ help（function）”）。 Spyder具有“对象检查器”（请参见下图），您可以在其中搜索类，函数或模块的文档。
Another feature in the GUI I really like is the “Variable explorer” (again similar to RStudio; you can see your variables (Data and values) in the Environment). When using Spyder your code can also be analysed using Pylint or Pyflakes.
我真正喜欢的GUI中的另一个功能是“变量浏览器”（再次类似于RStudio；您可以在环境中看到变量（数据和值））。 在使用Spyder的代码也可以使用分析pylint的或Pyflakes 。
Spyder also got many other great features and here are some of them:
Spyder还具有许多其他出色的功能，其中一些是：
- syntax coloring for Python, C/C++, and Fortran
- breakpoints and conditional breakpoints
- run or debug Python scripts
- iPython and Python consoles
- Python，C / C ++和Fortran的语法着色
- 断点和条件断点
- 运行或调试Python脚本
- iPython和Python控制台
These were some of the qualities that makes me think that the Spyder is the best Python IDE. Obviously, the IDE many other good qualities. Below is a short video showing these properties.
这些都是一些 ， 这 让我觉得 Spyder的 是最好 的Python IDE 的品质 。 显然 ， IDE 还有许多其他优良 品质 。 以下是 显示 这些属性 的简短 视频 。
如何安装Spyder (How to install Spyder)
On Ubuntu 14.04 Spyder can be installed by using pip or apt-get:
在Ubuntu 14.04上，可以使用pip或apt-get安装Spyder：
点子 (Pip)
sudo pip install spyder
适当的 (apt-get)
sudo apt-get install spyder
Spyder对阵Rodeo (Spyder vs. Rodeo)
I will finish the post with a quick comparison between Spyder and Rodeo. As can bee seen on the image below, Rodeo look almost identical to RStudio.
我将通过对Spyder和Rodeo的快速比较来完成这篇文章 。 从下图可以看出，Rodeo的外观几乎与 RStudio 相同 。
翻译自: https://www.pybloggers.com/2016/01/why-spyder-is-the-best-python-ide-for-science/