我需要为python开发设置窗口的初学者指南 [英] I need a beginners guide to setting up windows for python development

问题描述

我目前只与.NET合作，并且想使用python。为此，我需要建立一个python开发环境。我指导这一点很方便。我想我会做网络开发，所以需要一个网络服务器，可能还需要一个数据库。我还需要指向流行的ORM，MVC框架和测试库的指针。

I currently work with .NET exclusively and would like to have a go at python. To this end I need to set up a python development environment. I guide to this would be handy. I guess I would be doing web development so will need a web server and probably a database. I also need pointers to popular ORM's, an MVC framework, and a testing library.

我所有这方面的主要标准之一就是我想了解它的工作原理，我希望它尽可能孤立。这很重要，因为我要警惕使用第三方Web和数据库服务器污染什么是可工作的.NET环境。如果可能的话，我非常乐意使用SQLite来开始。

One of my main criteria with all this is that I want to understand how it works, and I want it to be as isolated as possible. This is important as i am wary of polluting what is a working .NET environment with 3rd party web and database servers. I am perfectly happy using SQLite to start with if this is possible.

如果我对此做得很好，我也很可能想设置自动化构建和CI服务器（在虚拟机上，可能是ubuntu）。对于这些的任何建议都是有用的。

If I get on well with this I am also likely to want to set up automated build and ci server (On a virtual machine, probably ubuntu). Any suggestions for these would be useful.

如果我喜欢python，我的最终目标是拥有与.NET一起可用的类似工具，并真正了解其构建。和部署这一切。首先，我将为您提供一个尽可能孤立的简单开发环境，如果我不喜欢它，很容易删除它。我不想使用IronPython，因为我想拥有使用常用工具和框架开发python解决方案的完整经验。

My ultimate aim if i like python is to have similar sorts of tools that i have available with .NET and to really understand the build and deployment of it all. To start with I will settle for a simple development environment that is as isolated as possible and will be easy to remove if I don't like it. I don't want to use IronPython as I want the full experience of developing a python solution using the tools and frameworks that are generally used.

推荐答案

设置Python环境并不难，而且我从来没有将.NET工作搞砸了。基本上，安装Python ---我将使用2.6，而不是3.0（目前尚未被广泛接受）-，并将其添加到您的PATH中，您就可以使用该语言了。我不建议使用Ubuntu VM作为开发环境。如果您使用的是Windows，那么最好还是在Windows上进行开发，而我这样做并没有很大的问题。我从Windows到Linux来回无障碍。

It's not that hard to set up a Python environment, and I've never had it muck up my .NET work. Basically, install Python --- I'd use 2.6 rather than 3.0, which is not yet broadly accepted --- and add it to your PATH, and you're ready to go with the language. I wouldn't recommend using a Ubuntu VM as your development environment; if you're working on Windows, you might as well develop on Windows, and I've had no significant problems doing so. I go back and forth from Windows to Linux with no trouble.

如果您有一个对Python基本的支持的编辑器，我会坚持使用。如果没有，我发现 Geany 是一个不错的，轻便的，易于使用的，具有良好Python的编辑器支持，尽管我自己使用 Emacs ，因为我知道它；其他人，例如 SCITE ， NotePad ++ 或其他任何形式。我会避免使用花哨的Python IDE，因为它们与语言的字符不匹配，而且我也不会打扰IDLE（Python随附），因为使用起来很麻烦。

If you have an editor that you're comfortable with that has basic support for Python, I'd stick with it. If not, I've found Geany to be a nice, light, easy-to-use editor with good Python support, though I use Emacs myself because I know it; other people like SCITE, NotePad++, or any of a slew of others. I'd avoid fancy IDEs for Python, because they don't match the character of the language, and I wouldn't bother with IDLE (included with Python), because it's a royal pain to use.

对库和框架的建议：

• Django 是 standard 网络框架，但是它很大，您必须按照django的方式工作；我更喜欢 CherryPy ，它也得到了积极的支持，但是它很轻巧，给您很大的自由，并且包含了一个不错的选择。


• Django包含自己的ORM，这已经足够好了；不过，有一个独立的Python版本，它甚至更好： SQL炼金术


• 就测试库而言， pyunit 在我看来是显而易见的选择

• Django is the standard web framework, but it's big and you have to work django's way; I prefer CherryPy, which is also actively supported, but is light, gives you great freedom, and contains a nice, solid webserver that can be replaced easily with httpd.
• Django includes its own ORM, which is nice enough; there's a standalone one for Python, though, which is even nicer: SQL Alchemy
• As far as a testing library goes, pyunit seems to me to be the obvious choice

祝您好运，欢迎使用一种非常有趣的语言！

Good luck, and welcome to a really fun language!

编辑摘要：我本来是推荐 Karrigell ，但不能再做任何事情：自3.0版以来，它一直在被破坏，并且社区不足以解决问题。如果您喜欢不会妨碍您的轻巧，简单的框架， CherryPy 是一个很好的替代品我已经更改了上面的内容以提出建议。

EDIT summary: I originally recommended Karrigell, but can't any more: since the 3.0 release, it's been continuously broken, and the community is not large enough to solve the problems. CherryPy is a good substitute if you like a light, simple framework that doesn't get in your way, so I've changed the above to suggest it instead.

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