mechanize – Writing Bots in Python Made Simple

I’ve been using python to write various bots and crawler for a long time. Few days ago I needed to write some simple bot to remove some 400+ spam pages in Sikumuna, I took an old script of mine (from 2006) in order to modify it. The script used ClientForm, a python module that allows you to easily parse and fill html forms using python. I quickly found that ClientForm is now deprecated in favor of mechanize. In the beginning I was partly set back by the change, as ClientForm was pretty easy to use, and mechanize‘s documentation could use some improvement. However, I quickly changed my mind about mechanize. The basic interface for mechanize is a simple browser object, that litteraly allows you to browse using python. It takes care of handling cookies and such and it got similar form-filling abilities to ClientForm, but this time they are integrated into the browser object.

For future reference for myself, and as another code example to mechanizes sparse documentation I’m giving below the gist of the simple bot I wrote:

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Bye Bye OmniCppComplete, Hello Clang Complete

For years OmniCppComplete has been the de facto standard for C++ completion in Vim. But as time progressed, I got more and more annoyed by it’s shortcomings. OmniCppComplete is based on tokenizing provided by ctags. The ctags parsing of C++ code is problematic, you can’t even run it on libstdc++ headers (you need to download modified headers). You want to use an external library? You’ll need to run ctags seperatly on each library. Not to mention it’s inablity to deduce types of anything more than trivial. The core of the problem is that OmniCppComplete isn’t a compiler and you can’t expect something that isn’t a compiler to fully understand code. This what makes Visual Studio’s IntelliSense so great: it uses the Visual C++ compiler for parsing, it isn’t making wild guess at types and what is the current scope – it knows it.
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