#python #development #webdev #SQLAlchemy #library #database #pub

Data validation and settings management using python type hinting. Define how data should be in pure, canonical python; validate it with pydantic. PEP 484 introduced type hinting into python 3.5, PEP 526 extended that with syntax for variable annotation in python 3.6. pydantic uses those annotations to validate that untrusted data takes the form you want. There’s also support for an extension to dataclasses where the input data is validated. #python #validation #library #pub

FastAPI framework, high performance, easy to learn, fast to code, ready for production #python #library #webdev #pub

instrumental is a structural coverage reporting tool. instrumental can tell you which parts of your program have been executed after it has been run. You can use this information to verify that your tests have executed your code and to determine which code has not been tested. #python #library #testing #development #pub

#python #pyramid #RESTful #framework #pub

PySnooper lets you do the same, except instead of carefully crafting the right print lines, you just add one decorator line to the function you're interested in. You'll get a play-by-play log of your function, including which lines ran and when, and exactly when local variables were changed. #python #debugging #pub

Example of big app using the Pyramid framework, including social auth. #pyramid #python #pub

#database #python #testing #performance #SQLAlchemy #integration-testing #docker #pub