Django Database ORM Mastery

Set up a lightweight, containerized Django project in Docker with PostgreSQL or MySQL via a one-command setup to prep for the ORM mastery course.

Create a docker-based development environment with Django and PostgreSQL (or MySQL) using docker compose and images. Learn container networking, volumes, and port mapping to start a Django app locally.

Create a Django project inside a docker container with docker compose, then add an inventory app, migrate to Postgres, and run uvicorn for live reload.

Explore the Django ORM by defining models in Python, managing SQL behind the scenes, and building models with field types, relationships, constraints, and configuration to shape a database schema.

Define Django models as Python classes that map attributes to database columns, generate migrations, and enable declarative schema through Pythonic queries via the ORM manager.

Visualize your database design with an ERD blueprint, then translate models, fields, and relationships into Django ORM code, guided by constraints and structure.

Define Django models from your schema and convert them into real database tables using migrations and the ORM. Generate, apply, and inspect migrations and SQL to manage inventory categories.

Select the right Django model field types—character, text, integer, decimal, boolean, and small integer—mapped to Postgres, using max_length and decimal_places to ensure data integrity and efficiency.

Learn to generate and manage slugs in Django to keep your urls clear. A slug field stores url-safe, lowercase strings with hyphens or underscores for routing.

Master Django's built-in date, time, and datetime fields to track record creation and updates with auto_now_add and auto_now, enabling audit trails and change tracking in models.

Master how null and blank control required fields in Django models. Learn the difference between database level nulls and form validation blank, and avoid mixing nulls with empty strings.

Define default values in Django models to keep data consistent and predictable, using static values or callables for booleans like is_active and is_digital, with defaults applied on object creation.

Explore how to use Django's editable option to mark fields as editable or read-only, controlling visibility in forms and admin while preserving data in the database.

Master Django uniqueness by enforcing unique on a field or via unique constraints across fields, balancing application and database level validation for data integrity.

Explore how Django automatically assigns a unique primary key to every model, enabling reliable queries and cross-table relationships, with options to use UUIDs or natural keys for custom keys.

Learn how to model one-to-many relationships in Django by using foreign keys to connect products to categories, defining foreign key fields, and referencing primary keys for relational data.

Explore on delete options in Django ORM to manage foreign key relationships, including cascade, protect, set null, set default, and restrict, ensuring data integrity.

Master Django's many-to-many relationships by using default fields and custom through tables to link products, promotion events, and orders, with unique constraints and cascading deletes.

Learn how to model 1 to 1 relationships in Django by linking a product to a single stock management record, and determine the dependent model with on delete cascade.

Explore how Django's model metaclass configures behavior beyond fields, setting default ordering, table names, verbose names, admin presentation, and constraints to streamline queries and data integrity.

Define fixed option sets with Django enum choices to enforce valid input for a price reduction field, storing integers with human readable labels in forms and admin.

Register and customize Django models in the admin site, configure list display, search, and filters, and manage related data with inlines for orders, products, and promotions.

Learn how to implement the dunder __str__ method in Django models to produce human readable representations, improving admin, shell, and log outputs with key fields such as category name.

Master Django ORM by learning to insert, update, and delete records, manage relationships, and use fixtures, with hands-on practice in the Django shell and Django Ninja API.

Master inserting data into the Django ORM by using create for quick inserts and save for custom, two-step object creation, including slug generation and basic API endpoints.

Master bulk inserting with Django's bulk_create by inserting multiple model instances in a single query, harnessing speed while handling defaults and foreign keys carefully.

Master updating Django records with save, using full and partial updates to preserve data integrity and boost performance, and apply update_fields in real-world category examples.

Explore Django's update or create, which searches by lookup fields, applies defaults, and updates or creates a record atomically. Note the two queries per call and the created flag.

Master Django bulk updates to efficiently modify many records at once. Use update for simple, fast changes and bulk_update for object-level control with filters, noting signals and validation are skipped.

Master one-to-many inserts in Django by linking products to categories with a foreign key, using either the category model instance or its id via create or save methods.

Master one to one inserts in Django by creating a product first and linking a stock management record with a unique one to one field.

Master three approaches to many-to-many in Django: manual join tables, auto through fields, and through with a custom link table, including using add with through defaults.

Explain how Django's ORM handles record deletion, comparing instance-level deletes with queryset bulk deletes, including signals, model lifecycle, and cascade effects.

Seed your database with initial data by loading CSV files through a PostgreSQL initialization script using the copy command at container startup. Note this bypasses Django validation and signals.

Explore how the Django all method retrieves all records by building a lazy query set, evaluating it to fetch data from the category table and return JSON via an endpoint.

Use the Django values method to fetch field-level data as dictionaries rather than full model instances. This lean approach facilitates serialization, APIs, and data exports with only the specified fields.

Optimize database performance by using the only method to fetch specified fields while still returning model instances, and understand the tradeoffs of deferred fields and additional queries.

Master Django ORM's filter method to retrieve records that match specific conditions, chain multiple filters with dot notation, and select only necessary fields to optimize memory usage.

Learn to refine query results with the Django exclude method, the opposite of filter, to remove inactive or unwanted records by chaining conditions while keeping the rest intact.

Sort your data with Django's order_by to control results by name, level, or date in ascending or descending order; combine fields and filters for polished, user facing lists.

Learn to retrieve the first or last record in Django's ORM safely. Use all, filter, and order by to control which item you get and handle empty results gracefully.

Master Django ORM queries through module end challenges that test and sharpen your skills, with downloadable source code and a one-command Docker setup to follow along.

Build a Django query to retrieve all active products, return all fields, and sort by name in descending order using the is_active filter and order_by('-name').

Master Django's ORM by selecting only the product name and price, ordering results by price in descending order, and applying field-limited queries for efficiency.

Identify the first product created by date in the Django database orm mastery course by sorting the Createdat timestamp ascending and selecting the first record, returning all fields.

Master the Django ORM by retrieving the most recently added product using order by created_at and first or last, with practical steps shown via docker compose and csv data checks.

Learn how to retrieve all inactive products in Django by using exclude instead of filter, returning all fields and inspecting data with the API docs.

Use the Django ORM to return products priced at 1999 while excluding category three. Query the product model, filter by price, and exclude category three to include all fields.

Learn to filter data with the django orm, using comparison operators, q objects, pattern matching, slicing, pagination, and model managers to narrow and control result sets.

Master Django's ORM filters by applying comparison operators with double underscores to craft precise queries using exact, case-insensitive exact, lt, lte, gt, gte, and isnull.

Master Django filter logic with and, or, and not using Q objects to build complex queries, such as active categories at level zero or books at level one.

Explore how Q objects combine conditions with and or logic to build dynamic, readable filters in Django, including grouping with parentheses and translating to SQL.

Master using Django Q objects to express or conditions with the pipe operator and combine them with and, enabling precise multi-field filters across fields like name or slug.

Master django query negation with not and Q objects to exclude conditions, including digital products, and combine with and/or using grouped logic for keyword, name, or slug filters.

Master Django's ORM pattern matching with contains, case-insensitive contains, starts with, and ends with to build dynamic, case-insensitive filters for product names and clean, readable queries.

Master filtering with the in lookup to match values from a list, across strings, integers, and foreign keys. Build endpoints using Q objects and get parameters to apply filters.

Master Django range filtering using the built-in range lookup to filter numeric and date ranges with inclusive bounds, and combine with Q objects for dynamic, multi-condition queries.

Explore how Django query sets use Python slicing to limit results. Learn to define start and end indices, apply ordering, and combine slicing with filtering for efficient pagination.

learn to paginate filtered querysets in django with ninja, returning total, current page, page size, and items; use filtering, ordering, and slicing to drive frontend paging.

Learn how to centralize reusable filters with custom model managers in Django, encapsulating is_active equals true logic into a single method that returns querysets and remains ORM-friendly.

Practice Django ORM queries through end-of-module challenges that test and sharpen your skills, following along step by step as you download source code and run a one-command Docker setup.

Master the Django ORM challenge to fetch the first and last five active products by id, deduplicate overlaps, and compare two query strategies including union.

Retrieve orders from the last 30 days by filtering the order model's createdat with a timezone-aware now minus 30 days, using Django utils and time delta.

Use the Django ORM to fetch products belonging to multiple categories by filtering on category_id with the in lookup, returning results in a single query.

Apply Django ORM to filter the products model for prices between 50 and 1000 using price__gte and price__lte. Practice building and validating an and-filter query to return matching results.

Master the Django ORM by excluding products priced at 19.99 and under 100, combining exclude and filter to return results and view the generated SQL.

Construct a Django ORM query to return users named Jane Doe and John Doe, filter via in on usernames, and return only username and email through the serializer.

Build a Django query on the product model using startswith to return products whose names begin with the capital letter W; understand default case sensitivity and the case-insensitive alternative.

Tackle query challenge 2_8 by filtering products whose names end with the letter e using Django ORM, employing endswith and iendswith to capture both lowercase and uppercase e.

Learn to retrieve the ten most expensive active products by filtering active items, ordering by price descending, and slicing to ten results using Django ORM.

Build a Django query that filters the user model by emails ending with example.com, returning their id, username, and email; note endswith is case sensitive.

Explore how to retrieve the 20th most expensive product using Django ORM by ordering by price descending, applying a zero-based slice with offset 19 and limit 1.

Explore how inner and left outer joins in Django's ORM retrieve related data across one-to-many, one-to-one, and many-to-many relationships in a single query.

Explore inner and left joins and how Django's ORM traverses relationships to combine related records across tables into efficient query results.

Explore how Django's orm performs inner joins on one-to-many relationships from the foreign key side, and learn to optimize queries with select_related, values, and only.

Learn to perform reverse inner joins in the Django ORM by querying from category to its products using reverse accessors and related names, and optimize queries.

Master inner joins for one-to-one relationships in the Django database ORM mastery, using select_related to fetch stock and product data efficiently without extra queries.

Explore reverse 1-to-1 joins from product to stock using the related name 'stock' and select_related to fetch data in one query; filter active products and display name with stock quantity.

Learn to master many-to-many queries in the Django ORM, using through tables, joins, select related, and prefetch related to fetch orders, products, users, and categories efficiently.

Use raw sql and Django's raw query set to perform inner joins and return model instances. Safely substitute parameters and choose between raw method or cursor for maximum control.

Explore Django's ORM aggregation to count, sum, average, min, and max values, group data for summaries, and apply having filters with expressions, all without raw SQL.

Count records with the Django ORM using count for totals and annotate for grouped counts, then attach calculated fields to rows and use aggregate for a single summary.

Learn to sum values in Django ORM using aggregate and annotate, apply in-aggregation filters, and compute per-category or per-row totals across related models with distinct options.

Create, start, and manage a macOS virtual environment for Python and Django projects using the command line in Visual Studio Code; activate, deactivate, and maintain project-specific environments.

Prepare a django project by creating and activating a new virtual environment in Visual Studio Code, noting Python installation, terminal commands, and OS differences for macOS and Windows.

Navigate the Python package index (PyPI) to discover Django packages and learn to install Django with pip. Explore pip list, pip freeze, and requirements.txt for reproducible environments.

Install django from the python package index with pip inside a virtual environment, then create a requirements file and freeze dependencies for a reproducible setup.

Learn to create a new Django project, verify the project runs, and start the development server using manage.py and the runserver command.

Learn to create a new Django app inside a Django project and distinguish the project from the app using the startapp command.

Register a new Django application by adding its name to the core project's settings installed apps, and include a trailing comma to avoid errors.

Start the Django development server using runserver on Mac OS, Linux, or Windows, access it at 127.0.0.1:8000, and understand port basics for local testing.

Explore how a user request travels to a Django app, matches a URL to a view, fetches database data, renders a template, and returns HTML to the browser.

Learn to create and extend django url patterns using include and urls.py, route the admin site and home page, and connect patterns to views.

Write a function-based Django view named home, connect it to URLs, and return an HTTP response, illustrating a simple hello world page with proper Python indentation.

Connect a Django view to a new html template to render a page. Create a templates folder with index.html and have the view return an html response to the browser.

Create and use a requirements.txt to install dependencies with pip -r, set up and activate a virtual environment, run migrations, and start the Django server with manage.py.

Explore the fundamentals of database structural testing within the Django ORM mastery course, set up a free Python testing framework, and implement structural tests for database tables across learning phases.

Follow this source code setup tutorial to download, unzip, and open the Django project. Create and activate a virtual environment, install dependencies from requirements, and resolve common Python setup errors.

Explore database structural testing in Django, validating that tables, columns, relationships, and constraints in Django models match the designed schema and its migrations.

Define a database structural testing plan that validates ten Django model tables, confirming presence, columns, data types, foreign keys, nullability, defaults, and constraints, using Pi tests in a non-production environment.

Compare app level and project level test placements in Django, showing app level promotes modularity and maintainability, while project level suits small or cross-app scenarios; choose based on project needs.

Set up your Django project for testing by creating a virtual environment, installing Pytest via pip, updating requirements.txt, and verifying Pytest installs and runs in the project.

Learn how to configure pytest with a pytest.ini file, including sections, key-value pairs, and comments, and understand pytest's default test discovery using test_*.py files and test functions.

Build and run a pytest-based test to verify the category table exists in a Django app. Leverage pytest-django, configure settings, and handle import errors and automatic model validation.

Discover how pytest markers attach metadata to tests for selective execution and customized runs, using conftest hooks to auto-assign markers during collection and run targeted tests with -m.

Develop a structural test to validate that each table's columns and data types match the design, using pi test parameterization with Django models.

Learn how to manage pytest warnings in a Django testing workflow, including deprecation and resource warnings, filtering with pytest.ini, and strategies to keep tests robust.

Develop and validate the category model’s relationships by building modular tests that verify the self-referential foreign key 'parent', on delete behavior, and null/blank constraints using pytest parameterization, AAA pattern.

Explore how to verify nullable and not nullable fields in a django category model by writing tests that assert each field's null property against expected constraints.

Master category table default values in Django models by testing that the isactive field defaults to false, ensuring data integrity, business rules, and reliable schema maintenance.

Validate category model column lengths align with design by testing max_length for name 100 and slug 120 using pytest.mark.parametrize, and ensure level defaults to 100.

Verify that the category table's slug field is unique by building a Django model test that checks the unique property for the slug and other fields, ensuring design consistency.

Replicate the modular, reusable structural tests from the category table across all database tables, adjusting field names to test the correct fields in each Django model.

Explore building seven structural tests for the seasonal event table in Django, validating table existence, four fields (id, start_date, end_date, name), field counts, nullability, types, and uniqueness.

Develop and run structural tests for the attribute table, verify its three fields, nullability, unique constraints, and correct field types, and adjust the model to fix length and type errors.

Develop robust tests for the product type table by validating fields id, name, level, and a self-referential parent foreign key, verifying on delete behavior, nullability, and column constraints.

Develop structural tests for the product table, validate fields, foreign keys, and a many-to-many through model, and verify defaults, column lengths, and unique constraints.

Develop a structural test for the product line table, validating its fields, a product foreign key, a many-to-many relationship, defaults, unique constraints, and decimal field specifications.

Develop the product image table tests by copying the category test, confirming five fields—primary key, product line foreign key, url image, order, and alternative text—and their types.

Develops structural tests for the attribute value table in a Django ORM project, validating its primary key, foreign key to the attribute table, and the attribute value field.

Create tests for the product line attribute value link table, mirroring the product type link tests, and verify the id primary key and two foreign keys.