Moreover, such queries could not be efficient enough, so this will hit you back when you load more data into DB to play with. Building advanced queries with Django is not very easy it’s hard to read (in Python) and hard to understand what’s going on in SQL-level without logging or printing generated SQL queries somewhere. However, sometimes such behavior may hurt - for example, when you’re building a project related to data analysis. Django ORM takes full control about SQL layer protecting you from mistakes, and underlying details of queries so you can spend more time on designing and building your application structure in Python code. ![]() ![]() Merging Django ORM with SQLAlchemy for Easier Data Analysis (Video Inside)ĭevelopment of products with Django framework is usually easy and straightforward great documentation, many tools out of the box, plenty of open source libraries and big community.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |