We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

How (and why!) to build a Django based project with SQLAlchemy Core for data analysis

Formale Metadaten

Titel
How (and why!) to build a Django based project with SQLAlchemy Core for data analysis
Serientitel
Anzahl der Teile
32
Autor
Lizenz
CC-Namensnennung 3.0 Unported:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen.
Identifikatoren
Herausgeber
Erscheinungsjahr
Sprache

Inhaltliche Metadaten

Fachgebiet
Genre
Abstract
I believe that Django ORM can fit almost 95% of the projects, however, it doesn’t perform well for some tasks. You can switch to raw SQL, but again: if you need an additional level of abstraction to build a flexible and better-maintained product, it won’t be enough. Here is when SQLAlchemy Core comes to fill the gap. In this talk, I’d like to cover the following topics: Django ORM, SQLAlchemy ORM, SQLAlchemy Core; when it’s time to consider adding SQLAlchemy Core to the Django application; to highlight integration steps; how to write tests with SQLAlchemy Core; some examples and observations from my personal experience.