Python

When debugging, I often want to measure a piece of code's performance/memory characteristics. I do this with the stdlib time class and psutil module. These are some snippets I always have in my utils before starting a project. Note: I use perf_counter (i.e performance counter clock) to measure time. For more details, see this. Measuring time and memory I use python's contextmanager to manage state. Realpython has a nice post on this....

Python does not come with reasonable logging defaults. The following code usually prints nothing. import logging logging.info("Hello world") While it does provide `logging.basicConfig()` which kinda works (sets up stderr by default), I prefer setting this up myself. This snippet sets up logging, adds a formatter and outputs error/info logs to the respective std streams. Without setting up the filter for errors, log aggregators confuse a python error log with an info log....