Django DRF ORM Query Fundamentals

Set up your development environment for Django DRF ORM fundamentals with Visual Studio Code and Docker, then deploy a PostgreSQL and Django API service in containers using the module primer.

Install, configure, and optimize Visual Studio Code for this course on Windows and macOS, using the terminal, project folders, and extensions like Night Owl, Python, Rough, and Prettier.

Set up rough, the ultra fast python linter and formatter, in vscode, enable auto format on save, and configure python settings to organize imports and enforce an 88 line length.

Learn to use Docker Desktop to create consistent development environments with images, containers, and volumes, enabling quick spin up, teardown, and safe data persistence for apps.

Set up a Postgres and Django service with Docker Compose, map ports 5432 and 8000, and build a Django app using a Dockerfile, requirements.txt, DRF, and DRF spectacular.

Automate launching a Django DRF project inside a Docker container by checking admin user, creating the project and inventory app, applying migrations, and starting the development server.

Learn to design and map Django models to database tables with the ORM, define field types and properties, and manage data via the Django admin for scalable applications.

Explore how an entity relationship diagram visualizes a database schema, detailing one-to-many, one-to-one, and many-to-many relationships with through tables, and use it to guide Django model design.

Define eight Django model tables by creating Python classes that extend models.Model, using camel case names and mapping each class to a database table in the inventory app.

Learn how to define strings, numbers, and booleans in Django models, using character and slug fields, max length, text fields, decimal and integer types, price handling, and boolean defaults.

Explore Django date and time fields, including date, time, and datetime types, with auto_now and auto_now_add for created and updated timestamps, plus practical use cases and examples.

Define how required, null, and blank fields control data entry. Explain the role of a data dictionary, defaults, and foreign keys in Django models.

Define and apply default values for database fields to ensure consistency and meaningful data, using examples like integer defaults and boolean defaults, guided by data dictionary and business requirements.

Enforce unique values on fields to maintain data integrity and prevent duplication. Apply unique constraints to usernames, emails, category names, slugs, and product or promotion names.

Identify how a primary key uniquely identifies records in a relational table. Let Django automatically create a surrogate key, a big auto field, so you don't need to define keys.

Explore how foreign keys in Django DRF ORM link tables by referencing primary keys to create one-to-many relationships from category to products and a one-to-one link from product to category.

Learn how Django's on delete behavior governs what happens to child records when a parent is deleted, covering cascade, set null, set default, do nothing, protect, and restrict.

model many-to-many relationships with a link (through) table between products and orders or promotion events. django handles this automatically, but manual creation allows extra fields.

Learn how to implement a one-to-one relationship in Django DRF ORM by linking a product to a single stock management record via a unique foreign key.

Implement final Django models by adding string representations, enforce unique together on the order and product link table, and introduce a quantity field to prevent duplicates.

Register models in the Django admin to manage data with a built-in interface, perform CRUD without custom views, and use inline admins to edit related orders, products, and promotions.

Learn how to export your Django database as SQL to initialize PostgreSQL, using manage.py sqlmigrate to generate table creation scripts, save to a file, and prepare Docker-based setups.

Connect Django to a Postgres database and automate table creation with a dockerized init script, enabling automatic schema setup, migrations, and admin user creation.

Master data operations in django rest framework, including create, bulk create, update, patch, and delete with django orm and drf serializers, and manage 1-to-1 and many-to-many relationships via nested serialization.

Explore django rest framework view options, comparing api views, generic api views, and view sets, learning how class based views, mixins, and routers simplify endpoints with querysets, serializers, pagination, filtering.

Understand how a client request travels through the API: from HTTP methods and URL routing to viewset endpoints, server processing, database queries, and returning a JSON response.

Learn how viewsets and serializers power database queries in Django rest framework, covering serialization, deserialization, custom list actions, and swagger documentation.

Learn to insert data in django drf with create and save inside a viewset, using a serializer to validate input and return 201 created or 400 bad request.

Learn to perform bulk inserts with the bulk create function in Django DRF, validating a list of items, creating model instances, and executing a single bulk insert to boost performance.

Learn how to update existing records with save in Django DRF by retrieving a record by primary key, validating with a serializer, and applying updates via the update endpoint.

Learn how to perform partial updates in Django DRF by using save with partial=true and a patch request, updating only specified serializer fields such as category name.

Ensure a category exists before inserting a product in a one-to-many relation, using a serializer and create flow, and note potential 1-to-1 inserts in future tutorials.

Learn to insert a product and its stock in one request with nested serializers for a one-to-one relationship in Django DRF, including create and to_representation overrides to return stock data.

Create orders linked to products through a many-to-many relationship by using an order serializer and a join table, with user validation and bulk create of order products.

Learn to delete records in Django rest framework using the destroy method, with endpoint setup, 204 success, 404 not found, cascade across related tables, and bulk deletion.

Delete bulk records in Django Rest Framework using a custom action on a view set. Post a list of ids to a bulk delete endpoint and receive a 204 response.

Seed initial data for a Django and Postgres setup in Docker, using CSV and copy, ensure relationships, and explore fixtures, faker, and other approaches to support testing and development.

Master querying the database with Django ORM to optimize performance and reduce unnecessary queries. Learn to fetch, filter, sort, exclude, remove duplicates, and paginate in Django Rest framework.

Learn how to use Django ORM and DRF to fetch all records with the all() method, serialize results to JSON, and expose a category endpoint while logging SQL queries.

Use Django's values to fetch specific fields as dictionaries, returning raw data instead of full model instances and boosting performance for large datasets, while forfeiting model methods and relations.

Explore using the only() method to fetch only selected fields, improving performance by limiting data retrieved while preserving full model instances and serializer compatibility.

Explore the Django ORM filter method to retrieve only records that match specific conditions. Apply exact matches, lookups, and simple filters on individual columns to optimize queries.

Learn three core ways to pass data to the server in Django DRF ORM: query parameters, request body, and URL path parameters for dynamic filtering and retrieval.

Learn to implement dynamic filtering with query parameters in Django DRF, including an endpoint that uses the active query parameter to filter categories by is_active true or false.

Build dynamic category filtering with URL path parameters and an active status, then update the custom endpoint and documentation to show true or false results.

Learn how Django DRF ORM uses exclude to filter queries by omitting records that match a condition, the opposite of filter, with examples using is_active and slug fields.

Explore how Django DRF's order_by sorts strings, numbers, and dates in ascending or descending order. See practical examples with query parameters and DRF's query_params, and how to chain with filters.

Learn to fetch the cheapest and most expensive products by ordering a queryset and applying the first method, then serialize and return selected fields to the client.

Explore how to implement page number pagination in Django Rest Framework, configure page size and query parameters, and expose next and previous links for efficient large dataset handling.

Learn how Django DRF ORM uses distinct to remove duplicate records when querying related data, such as listing unique category IDs from products, with values, null handling, and optional ordering.

Tackle Django ORM query challenges to test and sharpen your Django query skills, following along step by step with a Docker-based setup and downloadable source code.

Learn to query the Django product model to retrieve all active products by filtering is_active, return all fields, and sort by name in descending order.

Explore Django ORM query fundamentals by selecting product names and prices with only(), returning a queryset and ordering by price descending to optimize data retrieval.

Explore how to retrieve the first product created using Django DRF ORM query fundamentals. Sort by the createdat date in ascending order and return all fields of the oldest product.

Learn to retrieve the most recently added product by ordering by the created_at timestamp and taking the first result, or using last; verify with docker compose and the Postgres data.

Retrieve all products by excluding those where is active is true, Django's exclude method instead of filter. See inactive products in the results, including the mathematics textbook shown as inactive.

apply a filter on the product model to return items with price 1999 while excluding those in category three, and ensure all fields are returned.

Learn to efficiently query and filter data in Django using the ORM, applying contains, starts with, in, not in, and range with logical operators to support search, reports, and performance.

Learn to filter querysets in Django DRF using the and operator and Q objects. Apply filters on is_active and category.

Apply or conditions in Django drf orm queries with q objects to match at least one condition. Compare this to and conditions and view the generated sql.

Explore using Django ORM Q objects with the not operator to exclude records, build cross-table filters across category and promotion relationships, and dynamically find active products not in a promotion.

Explore how Django ORM uses field lookups and comparison operators to filter and exclude records. Learn exact, gt, gte, lt, lte, not equal conditions, and Q objects for complex queries.

Explore Django ORM pattern matching with contains, icontains, and startswith to filter text fields, note case sensitivity, and learn indexing and trigram/full-text search tips for large datasets.

Learn to use in and not in for list filtering in Django ORM to filter products by category using a client-provided list of values, with exclude as the opposite.

Leverage the range lookup to filter numeric and date fields in Django, using field__range or a two-value tuple to implement between logic in queries and DRF endpoints.

Explore limiting query results in Django ORM and DRF with Python list slicing, using start and end indices; negative slicing isn’t supported, so apply order by to simulate offsets.

Master joins and relationships in Django ORM to efficiently query related data across one-to-one, one-to-many, and many-to-many relationships, using select_related, prefetch_related, and SQL joins to avoid n+1 queries.

Learn how inner joins fetch related data from multiple tables, such as products and categories, by matching keys and using Django ORM and DRF to build efficient queries.

Learn how to perform inner joins in Django ORM for one-to-many relationships, using select_related and nested serializers to fetch related category and product data efficiently.

Learn to alias Django ORM fields with annotate and F expressions, renaming category name and product name, using foreign key traversal, and understand dictionary outputs when using values.

Learn to perform reverse queries on one-to-many relationships from category to products, use related names and prefetch related, and manage inner joins and nested serializers to fetch related data.

Explore inner joins for one-to-one relationships in Django DRF by querying stock management and product data, including nested serialization and access to category information via a product serializer.

Query the reverse side of a one-to-one relationship in Django DRF by using a related name, serializers, and select_related to return only products with related stock via an inner join.

Explore how to perform a raw SQL inner join in Django using a connection cursor, execute the query, and fetch results, then compare raw SQL with the ORM.

Explore many-to-many relations with a through table between product and promotion events, using prefetch_related to optimize cross-table data retrieval and inner-join-like behavior in Python with Django serializers and reverse relations.

Develop aggregation and grouping in Django DRF to summarize data with count, sum, average, min, max; apply group by and having to filter groups and improve reporting speed.

Learn to count records using Django ORM's count aggregation and annotate to add per-object counts, exploring counts for products, categories, users, and related data in DRF APIs.

Explore the Django ORM sum function across models, using values, annotate, and aggregate to compute total prices and order costs with F expressions.

Learn how to calculate averages in Django DRF ORM with the average function, including per-category averages using annotate, and how Django uses group by behind the scenes.

Learn how Django ORM uses annotate with automatic group by to compute aggregates, such as total product cost per category or per order, using values, f expressions, and aggregation functions.

Filter aggregated results in Django DRF ORM by chaining a filter after annotation to mimic SQL's having clause. The example filters orders by total cost above 5000.

Learn to use Django ORM min and max to compute overall and per-category price ranges, annotate results, and order by id, with serializer fields for min price and max price.

Apply f expressions for field-to-field comparisons and database-level calculations in Django, reducing queries and avoiding Python-side data retrieval.