NPython | C # からPythonとデータのやり取りをするサンプルです

I want to know how is the term frequency factor i.e. tf calculated ?

I want to know the tf of the content. The results for the following query :

I created this small python file to time how much time I spend practicing coding, it all worked perfectly until I attempted to turn all the functions I had into a class, once I did that I can't seem to get it to work, I have tried to add self to the parameters of my functions and it hasn't worked. below is the code

I'm pretty new to coding, so forgive me if this is super obvious.

When running a while loop, and I want to only run if for a certain amount of times. Ex (python):

I'm trying to extract all characters before the '\r' character from a char*.

The code below doesn't seem to work. I was expecting it to print "java,c++" but I just get an empty string as output instead.

I know numba creates some overheads and in some situations (non-intensive computation) it become slower that pure python. But what I don't know is where to draw the line. Is it possible to use order of algorithm complexity to figure out where?

for example for adding two arrays (~O(n)) shorter that 5 in this code pure python is faster:

I'm trying to get more comfortable working with Azure IOT and decided that I wanted to start sending my own telemetry data instead of the "tempSensor" demo that they have provided.

I created this "basic_device" module.

I am trying to create a simple file editor in Python via the console (called PyCons). Here is my current program:

I have a Python project for which I wrap some C/C++ code (using the excellent PyBind library). I have a set of C and Python unit tests and I've configured Gitlab's CI to run them at each push. The C tests use a minimalist unit test framework called minunit and I use Python's unittest suite.

Before running the C tests, all the C code is compiled and then tested. I'd like to also compile the C/C++ wrapper for Python before running the Python tests, but have a hard time to do it.

Is there a standard/good way to get Gitlab-CI to build a Python extension using setuptools before running unit-tests?

To compile the C/C++ wrapper locally, I use setuptools with a setup.py file including a build_ext command. I locally compile everything with python setup.py build_ext --inplace (the last arg --inplace will just copy the compiled file to the current directory). As far as I know, this is quite standard.

What I tried to do on Gitlab is to have a Python script (code below) that will run a few commands using os.system command (which appears to be bad practice...). The first command is to run a script building and running all C tests. This works but I'm happy to take recommendations (should I configure Gitlab CI to run C tests separately?).

Now, the problem comes when I try to build the C/C++ wrapper, with os.system("cd python/ \npython setup.py build_ext --inplace"). This generates the error

I have a small python script (based on an open source script I downloaded) that takes an input csv file and what I would like is for the script to spit out a plist in the form of an array of arrays, one array per row of the file. This is the script: