Once you’ve caught an exception, you can capture and log a message with the exception info (including full stack traceback), using logging.exception() or logging.error(). With logging.exception(): With logging.error() we must set the exc_info keyword argument to True (default is False): In both cases, the Error occurred message is logged with level ERROR on the root […]
At times you will want to catch an exception and extract the stack trace from the exception object to capture it somewhere (for instance log it). In our codebase, we generally aim to handle all kinds of unexpected or incorrect input and output by putting validations and expecting certain kinds of exceptions (try/except). But there […]
Let’s look at a couple of quick ways to uninstall all the packages that we installed with pip in our environment or system. First of all, to list all the packages that were installed via pip (in requirements format): If we can list all the packages installed, then we can pass that list to pip […]
When we install a package like this – pip install Flask – pip needs to work out Flask’s dependencies, the dependencies of those dependencies, and so on. This recursive process builds a dependency tree or graph where multiple nodes (packages) can point to the same dependency, but different versions. Flask may depend on packages A […]
If you are using Pydantic in Python, which is an excellent data parsing and validation library, you’ll often want to do one of the following three things with extra fields or attributes that are passed in the input data to build the models: Ignore the extra fields or attributes, i.e., they should not be present […]
Trying to print(var) in your pytest tests and wondering why you cannot see the output in your terminal’s standard output? This is because by default pytest captures all output sent to stdout and stderr, i.e., it intercepts the data going into the low-level file descriptors 1 and 2. This is a good idea because pytest […]
If you need to serve a bunch of local static files like html, css, js, images, videos, fonts, etc. over http (in a browser), lying somewhere in one of your filesystem directories, Python’s http.server module can get you up and running quickly instead of installing and setting up (configuring) a more sophisticated web server like […]