With the full qualification that there isn’t really a good way to benchmark the two against each other within Nuke, I think it’s pretty safe to assume that TCL will be faster in the majority of cases. Since Python expressions are called through TCL, at the very least, they will suffer a consistent (if likely miniscule) overhead no matter what. Additionally, the double-edged sword of Python is that, while it’s typically easier for beginners to pick up, it also makes it much easier to write inefficient code than TCL does, so unless you’re a strong/smart Python programmer, you will likely introduce more avoidable overhead manually.
The general rule I tend to try and adhere to (and would recommend) is, if something can be done in TCL without exceeding a certain (admittedly subjective) threshold of complexity, I’ll use that over Python. The function you’ve listed can basically be written like so as a TCL expression: [lindex [split [lindex [split [file tail [value parent.input0.file]] _] 0] .] 0] -Nathan From: Luca Fiorentini Sent: Friday, September 21, 2012 5:21 AM To: Nuke Python discussion Subject: [Nuke-python] python and tcl Hi! Is tcl faster than python inside nuke when you have to set knobs on a lot of different nodes? I had this impression and I was trying to convert all the simple expressions inside my gizmos but I would like to be sure. Also, is it possible to translate something like this def saText(): try: file = nuke.thisGroup().input(0).knob('file').value() text = os.path.split(file)[1] text = text.split('_')[0] text = text.split('.')[0] return text except: return 'Bad naming convention/location' to tcl or I have to use python? Thanks in advance! -- Luca Fiorentini - 3D Lighting Artist My Showreel - My blog - My Flickr -------------------------------------------------------------------------------- _______________________________________________ Nuke-python mailing list Nuke-python@support.thefoundry.co.uk, http://forums.thefoundry.co.uk/ http://support.thefoundry.co.uk/cgi-bin/mailman/listinfo/nuke-python
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