Django, template context processors
I have a weird problem, I want to add a global query using context processors.
This is how I did it by following:
I have a weird problem, I want to add a global query using context processors.
This is how I did it by following:
I’d like to create a function that takes a (sorted) list as its argument and outputs a list containing each element’s corresponding percentile.
Is there a way to ensure all created subprocess are dead at exit time of a Python program? By subprocess I mean those created with subprocess.Popen().
TL/DR:
I am working with pandas dataframes that are essentially time series like this:
I have an index array (x) of dates (datetime objects) and an array of actual values (y: bond prices). Doing (in iPython):
I have the following, very basic code that throws; TypeError: the JSON object must be str, not 'bytes'
I have some asyncio code which runs fine in the Python interpreter (CPython 3.6.2). I would now like to run this inside a Jupyter notebook with an IPython kernel.
I have a list of objects that I need to jsonify. I’ve looked at the flask jsonify docs, but I’m just not getting it.
I want an algorithm to iterate over list slices. Slices size is set outside the function and can differ.