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I want to port a web application scanning framework from Python 2.6.5-2.7.3 to Python 3 without causing much harm to the compatibility with Python 2.6+.
I have read briefly about six: Python 2 and 3 Compatibility Library and python-modernize.
The framework I am intending to port uses libraries like twisted which are natively supported in Python 2. I have read http://twistedmatrix.com/trac/wiki/Plan/Python3 which warns against usage of 2to3 at any stage during this process. The fact that python-modernize is a version of 2to3 has been another source of confusion.
May I have some suggesions on the optimal approach to carry out such a porting and some common bugs that I might encounter ?
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I have been searching for the way to call Python from MATLAB on Google and YouTube. However, I got confused due to the many ways of doing so.
I have a Python library DESlib downloaded. I have a program from MATLAB that needs that library to perform dynamics classifier selection. No one has developed such a library for MATLAB. I can only found for Python.
So, how I do that call this library from MATLAB?
If your MATLAB version is new enough (the following definitely works on R2019a), MATLAB has builtin support for calling python functions.
Say module is your python library that you downloaded and you want to use a function func in that module, all you need to do is just
py.module.func(<arguments>)
See here for more details.
module has to be in the python search path, otherwise add it as detailed here
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When it comes to import the library.
I got an error that the module is not found
I'm using Python 2.7
Windows with 32 bit
Is there a solution?
The module was called Tkinter, with a capital T, in Python 2.7.
Python 3 renamed most stdlib modules that didn't fit the coding standard (mostly because they'd been added before there was a coding standard). By 2018, most books, YouTube tutorials, Stack Overflow answers, blog posts, etc. are going to show you Python 3, so if you want to or have to keep using Python 2.7 for some reason, you need to know how to find the Python 2 docs.
Fortunately, once you're at the Python 3 docs, this is easy: just go to the little option menu in the navigation bar that says "3.7" or whatever, and change it to "2.7".
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I have a large performance sensitive library written in C++11 with variadic templates and model classes. This is a header only C++ library.
I want to write the Python bindings for this library.
The python bindings should support Python 2.7 and Python 3.x.
My problem is I am not finding a way to create bindings between C++ and Python. I did see references to Boost.Python and SWIG, however, I could not find anything that clearly identified how to create the bindings between C++ and Python.
What is the simplest, clearest, step-by-step method of creating a binding?
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what is the difference between brewed python and system python? Which one of them is recommended in which case? I use often brew package manager.
System python is only as up-to-date as the OS itself, so there is no guarantee that you have the most recent version of Python. Additionally, system python is only Python 2.
Brewed python has two advantages:
More up to date
Python 3 instead of 2
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I use Python api for OpenCV Library and it's great. I want to adapt the same technology to my own C++ library. Here is the source code:
https://github.com/Itseez/opencv/tree/master/modules/python/src2
As far as I know this is not SWIG, or Cython but a manual approach. Can someone please explain the architecture of the Python wrapping?
the python scripts in opencv\modules\python\src2 are used to generate the api
first hdr_parser.py is run on the opencv c++header files (just try to run it!), to collect the classes/functions(that's what the EXPORTS_W and CV_WRAP tags are for in the c++ headers),
then gen2.py is the 'backend', which generates the python wrappers.
the java / matlab bindings are done in the very same way (just different backends)