{"dataset":{"id":"00000000-0000-0000-0000-000000000023","slug":"django-best-practices","name":"Django best practices","description":"Source-linked guidance on Django fundamentals: models, migrations, lazy QuerySets, URL routing, and the template layer. Scoped to Django; not a general Python corpus.","visibility":"public","version":1,"documentCount":5,"publisher":"Koskamo editorial","license":"Original summaries; linked sources retain their own terms.","reviewedAt":"2026-10-04T00:00:00.000Z","readOnly":true,"createdAt":"2026-10-04T00:00:00.000Z","updatedAt":"2026-10-04T00:00:00.000Z"},"total":5,"documents":[{"title":"The template layer and DTL","sourceUrl":"https://docs.djangoproject.com/en/stable/topics/templates/","text":"A template contains the static parts of the desired HTML output plus special syntax describing how dynamic content is inserted. A Django project can be configured with one or several template engines — or zero — and Django ships built-in backends for its own Django template language (DTL) and for Jinja2, with third-party and custom backends possible. A standard API loads and renders templates regardless of backend: loading finds the template for a given identifier and usually compiles it to an in-memory representation, while rendering interpolates the template with context data and returns the resulting string. DTL templates render with a context, a dict-like object mapping keys to values; variables like {{ first_name }} output context values, and tags execute logic. The documentation recommends the DTL unless you have a pressing reason to choose another backend. Warning: the template system is not safe against untrusted template authors — never let users supply their own templates, since template authors can perform XSS attacks and access sensitive properties of template variables. Scope: Django. Reviewed October 4, 2026.","id":"django-best-practices:The template layer and DTL","version":1,"createdAt":"2026-10-04T00:00:00.000Z","updatedAt":"2026-10-04T00:00:00.000Z"},{"title":"URL routing with path() and re_path()","sourceUrl":"https://docs.djangoproject.com/en/stable/topics/http/urls/","text":"Django resolves requests through the root URLconf module, ordinarily the value of the ROOT_URLCONF setting, though middleware can set a urlconf attribute on the incoming HttpRequest to override it. Django loads that module and reads its urlpatterns variable — a sequence of django.urls.path() and/or django.urls.re_path() instances — then runs through the patterns in order, stopping at the first that matches the requested URL's path_info. On a match it imports and calls the view, a Python function or class-based view, passing an HttpRequest instance plus the parts captured by the path expression as positional or keyword arguments, overridden by any arguments in the optional kwargs parameter of path() or re_path(). urlpatterns can include() other URLconf modules, rooting a set of URLs below others; Django chops off the matched part and sends the remainder to the included URLconf. When no pattern matches, or an exception is raised, Django invokes an appropriate error-handling view. Scope: Django. Reviewed October 4, 2026.","id":"django-best-practices:URL routing with path() and re_path()","version":1,"createdAt":"2026-10-04T00:00:00.000Z","updatedAt":"2026-10-04T00:00:00.000Z"},{"title":"Lazy QuerySets and their cache","sourceUrl":"https://docs.djangoproject.com/en/stable/topics/db/queries/","text":"QuerySets are lazy: creating one involves no database activity, and you can stack filters without Django running anything until the QuerySet is evaluated. Each QuerySet also contains a cache to minimize database access. In a newly created QuerySet the cache is empty; the first time it is evaluated, and a database query happens, Django saves the results in the QuerySet's cache and returns what was explicitly requested — the next element, if you are iterating — and subsequent evaluations reuse the cached results. Creating two separate QuerySets over the same data evaluates each independently, executing the same query twice and doubling database load. For related objects, the select_related() method prepopulates the relationship cache ahead of time, so follow-up attribute access does not hit the database again. For single rows, filter() always returns a QuerySet even when only one object matches, while a Manager's get() returns the object directly. Scope: Django. Reviewed October 4, 2026.","id":"django-best-practices:Lazy QuerySets and their cache","version":1,"createdAt":"2026-10-04T00:00:00.000Z","updatedAt":"2026-10-04T00:00:00.000Z"},{"title":"Migrations as schema version control","sourceUrl":"https://docs.djangoproject.com/en/stable/topics/migrations/","text":"Migrations are Django's way of propagating changes you make to your models — adding a field, deleting a model, and so on — into your database schema, and they are designed to be mostly automatic. Four commands cover the workflow: makemigrations creates new migrations based on the changes you have made to your models; migrate applies and unapplies migrations; sqlmigrate displays the SQL statements for a migration; and showmigrations lists a project's migrations and their status. Think of migrations as a version control system for your database schema: makemigrations packages model changes into individual migration files, analogous to commits, and migrate applies them to the database. The migration files for each app live in a migrations directory inside that app and are designed to be committed to, and distributed as part of, its codebase, so schema changes ship with the code that needs them. Scope: Django. Reviewed October 4, 2026.","id":"django-best-practices:Migrations as schema version control","version":1,"createdAt":"2026-10-04T00:00:00.000Z","updatedAt":"2026-10-04T00:00:00.000Z"},{"title":"Models as the single source of truth","sourceUrl":"https://docs.djangoproject.com/en/stable/topics/db/models/","text":"A model is the single, definitive source of information about your data: it contains the essential fields and behaviors of what you are storing, and each model generally maps to a single database table. Each model is a Python class that subclasses django.db.models.Model, and each class attribute represents a database field that maps to a column; Django then provides an automatically-generated database-access API. A Person model with first_name = models.CharField(max_length=30) produces a varchar(30) column — CharField and its subclasses require max_length, which sets the VARCHAR size. By default the table name is derived from model metadata by combining the app name with the lowercased model name (myapp_person), and an auto-incrementing id primary key is added automatically, with its type set per app via AppConfig.default_auto_field or globally via the DEFAULT_AUTO_FIELD setting; both defaults can be overridden. The generated SQL is tailored to whichever database backend your settings file selects — PostgreSQL, for example, emits an identity-column id. Scope: Django. Reviewed October 4, 2026.","id":"django-best-practices:Models as the single source of truth","version":1,"createdAt":"2026-10-04T00:00:00.000Z","updatedAt":"2026-10-04T00:00:00.000Z"}]}