time.time vs. timeit.timeit
Sometimes, I like to time how long it takes parts of my code to run. I’ve checked a lot of online sites and have seen, at large, two main ways to do this. One is using time.time and the other is using timeit.timeit.
python
Dynamic Class Creation in SQLAlchemy
We have a need to create SQLAlchemy classes to access multiple external data sources that will increase in number over time. We use the declarative base for our core ORM models and I know we can manually specify new ORM classes using the autoload=True to auto generate the mapping.
Count number of records by date in Django
I have a model similar to the following:
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:
Map each list value to its corresponding percentile
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.
Ensuring subprocesses are dead on exiting Python program
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().
Unload a module in Python
TL/DR:
Giving a column multiple indexes/headers
I am working with pandas dataframes that are essentially time series like this:
Annotate Time Series plot in Matplotlib
I have an index array (x) of dates (datetime objects) and an array of actual values (y: bond prices). Doing (in iPython):
TypeError: the JSON object must be str, not ‘bytes’
I have the following, very basic code that throws; TypeError: the JSON object must be str, not 'bytes'