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I am writing some python code that needs libjpeg . I searched for it on the Internet, and I couldn't find an implement of libjpeg in python. I would like to be able to access, DCT coefficient values, quantization tables, etc.
Thanks!
That would be the jpeg module. However, typically the Python Imaging Library is preferred for image manipulation.
If you're on a mac, this might help: http://jetfar.com/libjpeg-and-python-imaging-pil-on-snow-leopard/ If you're not on a mac, it may give you some ideas on how to proceed on your platform.
"WIP Python interface to libjpeg to access DCT coefficients"
Take a look here.
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I am totally new to machine learning, after going through many tutorials I am bit confused over which python version is most stable for libraries like tensorflow and keras ?
Some are suggesting python 3.7 while some are telling to use latest one. Which one should I use, any suggestions? Please help!
anywhere from Python 3.6–3.9 should work fine, the version doesn't differ too much.
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I am working through some code to integrate Anaconda environments with ArcGIS. The tutorial I'm following makes use of the pyparsing module. I'd like to better understand the module but am having difficulty finding a good overview of the commands within it. Where can I find documentation for the module?
Should be on github. I found it here: https://github.com/pyparsing/pyparsing/
Hope this helps! :)
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How can I view the source code of a particular Standard Library and/or an External Library? I would like to see the Python code, not the underling C code.
I am trying to find this to see how experienced programmers write their code. I already looked at the Where do I find the python standard library code? but the answer just seems to be most is written in C.
The main repo of the standard library is hosted here: https://github.com/python/cpython/blob/3.7/Lib/
This can also be found on the typical Python installation in the same location (i.e. subfolder Lib).
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I have written a Python code which imports libraries like numpy, scipy, keras (deep learning).
Is it possible to convert it to mobile .apk using say kivy?
I couldn't find any documentation specifying it is possible or not possible. Kindly help.
While there is a numpy recipe, i believe there is no scipy or keras one, and it's certainly going to be quite some work to do them, so while theorically yes, python-for-android would do the job, in practice, you'll have to get your hands dirty to get that going.
I have heard about Python for Android. You have to give it a try.
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I need to write python application connect to trixbox that run as SIP server. But I not found any library that implement in python. I found SIP SKD at http://www.vaxvoip.com/ but it not support python. Can anyone suggest me an alternative to VaxVoip?
Thank you.
There are Python bindings for the PJSUA API.
Twisted supports SIP. That's really cool
You might want to have a look at Sippy. It's a B2BUA with a complete SIP stack implementation underneath (you could use just that). It's written entirely in Python, so it's pretty hackable. Sippy is implemented with Twisted but uses none of its SIP functionality.