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Try FastAPI Test Driven Development 2024

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Try FastAPI Test Driven Development 2024, available at $54.99, has an average rating of 4.67, with 111 lectures, based on 58 reviews, and has 693 subscribers.

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You will learn about Install and configure FastAPI, Docker, and essential Python libraries. Establish project structure and best practices for managing dependencies. Implement linting and formatting tools for clean and maintainable code. Grasp the power of Docker for containerization and simplified database deployment. Learn to configure and manage PostgreSQL databases. Leverage Python-dotenv for secure environment variable handling. Work with SQLAlchemy for efficient database interactions. Implement Alembic for streamlined database migrations. Understand the test database workflow for effective testing. Install and configure Pytest, the industry-standard testing framework. Automate database creation and removal for streamlined testing. Employ Pytest marks for efficient test discovery and organization. Gain a comprehensive understanding of Entity-Relationship Diagrams (ERDs) for data modeling. Implement unit tests to validate table existence, columns, constraints, and relationships. Explore FastAPI error logging for comprehensive debugging. Master Pydantic schemas for data validation and serialization/deserialization. Develop comprehensive unit tests for various functionalities of your API endpoints. Cover creating, retrieving, updating, and deleting data with unit tests. Learn to handle exceptions gracefully within your API endpoints. Delve into integration testing to verify the interaction between your API and the database. Set up a robust integration testing environment for comprehensive validation. Develop integration tests for CRUD (Create, Read, Update, Delete) operations on your endpoints. Analyze code coverage to ensure a significant portion of your code is tested. Explore manual testing techniques for additional validation using FastAPI documentation. This course is ideal for individuals who are This course is ideal for developers with some Python experience who want to build modern, scalable APIs. It is particularly useful for This course is ideal for developers with some Python experience who want to build modern, scalable APIs.

Enroll now: Try FastAPI Test Driven Development 2024

Summary

Title: Try FastAPI Test Driven Development 2024

Price: $54.99

Average Rating: 4.67

Number of Lectures: 111

Number of Published Lectures: 111

Number of Curriculum Items: 111

Number of Published Curriculum Objects: 111

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

  • Install and configure FastAPI, Docker, and essential Python libraries.
  • Establish project structure and best practices for managing dependencies.
  • Implement linting and formatting tools for clean and maintainable code.
  • Grasp the power of Docker for containerization and simplified database deployment.
  • Learn to configure and manage PostgreSQL databases.
  • Leverage Python-dotenv for secure environment variable handling.
  • Work with SQLAlchemy for efficient database interactions.
  • Implement Alembic for streamlined database migrations.
  • Understand the test database workflow for effective testing.
  • Install and configure Pytest, the industry-standard testing framework.
  • Automate database creation and removal for streamlined testing.
  • Employ Pytest marks for efficient test discovery and organization.
  • Gain a comprehensive understanding of Entity-Relationship Diagrams (ERDs) for data modeling.
  • Implement unit tests to validate table existence, columns, constraints, and relationships.
  • Explore FastAPI error logging for comprehensive debugging.
  • Master Pydantic schemas for data validation and serialization/deserialization.
  • Develop comprehensive unit tests for various functionalities of your API endpoints.
  • Cover creating, retrieving, updating, and deleting data with unit tests.
  • Learn to handle exceptions gracefully within your API endpoints.
  • Delve into integration testing to verify the interaction between your API and the database.
  • Set up a robust integration testing environment for comprehensive validation.
  • Develop integration tests for CRUD (Create, Read, Update, Delete) operations on your endpoints.
  • Analyze code coverage to ensure a significant portion of your code is tested.
  • Explore manual testing techniques for additional validation using FastAPI documentation.

Who Should Attend

  • This course is ideal for developers with some Python experience who want to build modern, scalable APIs.

Target Audiences

  • This course is ideal for developers with some Python experience who want to build modern, scalable APIs.

Try FastAPI API Test Driven Development 2024

Towards Building Secure and Scalable APIs with FastAPI and Test-Driven Development

This comprehensive course equips you with the skills to create robust and well-tested APIs using FastAPI, a powerful Python framework. Leveraging the Test-Driven Development (TDD) approach, you’ll gain a solid foundation for building APIs with confidence.

What You’ll Learn:

  • Set Up Your Development Environment:

    • Install and configure FastAPI, Docker, and essential Python libraries.

    • Establish project structure and best practices for managing dependencies.

    • Implement linting and formatting tools for clean and maintainable code.

  • Master Database Management:

    • Grasp the power of Docker for containerization and simplified database deployment.

    • Learn to configure and manage PostgreSQL databases.

    • Leverage Python-dotenv for secure environment variable handling.

    • Work with SQLAlchemy for efficient database interactions.

    • Implement Alembic for streamlined database migrations.

  • Test-Driven Development with Pytest:

    • Understand the test database workflow for effective testing.

    • Install and configure Pytest, the industry-standard testing framework.

    • Automate database creation and removal for streamlined testing.

    • Employ Pytest marks for efficient test discovery and organization.

  • Database Build and Structural Testing:

    • Gain a comprehensive understanding of Entity-Relationship Diagrams (ERDs) for data modeling.

    • Write detailed test plans for thorough structural testing of your database schema.

    • Implement unit tests to validate table existence, columns, constraints, and relationships.

  • FastAPI Endpoint Development and Unit Testing:

    • Explore FastAPI error logging for debugging.

    • Master Pydantic schemas for data validation and serialization/deserialization.

    • Develop comprehensive unit tests for various functionalities of your API endpoints.

    • Cover creating, retrieving, updating, and deleting data with unit tests.

    • Learn to handle exceptions gracefully within your API endpoints.

  • FastAPI Endpoint Development and Integration Testing:

    • Delve into integration testing to verify the interaction between your API and the database.

    • Set up a robust integration testing environment for comprehensive validation.

    • Develop integration tests for CRUD (Create, Read, Update, Delete) operations on your endpoints.

    • Learn to adapt your testing strategy for future endpoints.

  • Test Coverage and Manual Testing:

    • Analyze code coverage to ensure a significant portion of your code is tested.

    • Explore manual testing techniques for additional validation using FastAPI documentation.

By the end of this course, you’ll be able to:

  • Build production-ready, well-tested APIs using FastAPI.

  • Implement TDD principles for writing clean and maintainable code.

  • Effectively manage databases and data interactions within your API.

  • Develop a robust testing strategy for ensuring API functionality and reliability.

This course is ideal for developers with some Python experience who want to build modern, scalable APIs. Join us and unlock the power of FastAPI and Test-Driven Development!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Resources

Chapter 2: Preparing For Python Development

Lecture 1: Installing Python 3.x on Windows

Lecture 2: Installing Python 3.x on Mac

Lecture 3: Visual Studio Code Install and Initial Configuration on Windows

Lecture 4: Visual Studio Code Install and Initial Configuration on Mac

Lecture 5: Introduction to Virtual Environments

Lecture 6: Virtual Environments on Windows

Lecture 7: Virtual Environments on MacOS

Chapter 3: Setting Up the Project Environment

Lecture 1: Opening Monologue

Lecture 2: Project Documentation

Lecture 3: Starting a New FastAPI Project

Lecture 4: Managing Dependencies with PIP

Lecture 5: Setting Up Project Linting and Formatting

Chapter 4: Database Environment Configuration

Lecture 1: Docker – What? Why?

Lecture 2: Docker Installation

Lecture 3: Dockerizing PostgreSQL

Lecture 4: Managing PostgreSQL with Adminer

Lecture 5: Python-Dotenv – What? Why?

Lecture 6: Install python-dotenv

Lecture 7: Creating a PostgreSQL Setup Script

Lecture 8: Using Docker Environment Variables

Lecture 9: SQLAlchemy – What? Why?

Lecture 10: Creating a Project Database Connection Configuration

Lecture 11: Implementing Alembic for Database Migrations

Chapter 5: Test Environment Setup

Lecture 1: The test database workflow

Lecture 2: Installing, Setup Pytest

Lecture 3: Creating a Docker Test Database Programatically

Lecture 4: Postgres Setup Script

Lecture 5: Adding Containers to a Docker Network

Lecture 6: Configuring Alembic for Multi-Database

Lecture 7: Remove the Container after Testing

Chapter 6: Database Build and Structural / Migration Testing:

Lecture 1: The Structural Testing Phase

Lecture 2: The Project Database ERD

Lecture 3: Category Table Requirements Analysis

Lecture 4: Test Planning (Structural Testing)

Lecture 5: Category Table Test Case 1 – (table exists)

Lecture 6: Category Table Test Case 2 – (validate expected columns)

Lecture 7: Category Table Test Case 3 – (verify nullable)

Lecture 8: Category Table Test Case 4 – (specific constraints)

Lecture 9: Category Table Test Case 5 – (default values)

Lecture 10: Category Table Test Case 6 – (column lengths)

Lecture 11: Category Table Test Case 7 – (unique constraints)

Lecture 12: Automating Pytest Marks Test Discovery

Lecture 13: Product Table Requirements Analysis

Lecture 14: Product Table Test Case Development

Lecture 15: Implement the Product Table

Lecture 16: ProductLine Table Requirements Analysis

Lecture 17: ProductLine Table Test Case Development

Lecture 18: Implement the ProductLine Table

Lecture 19: ProductImage Table Requirements Analysis

Lecture 20: ProductImage Table Test Case Development

Lecture 21: Implement the ProductImage Table

Lecture 22: Seasonal Events Table Requirements Analysis

Lecture 23: Seasonal Events Table Test Case Development

Lecture 24: Implement the Seasonal Events Table

Lecture 25: Attributes Table Requirements Analysis

Lecture 26: Attributes Table Test Case Development

Lecture 27: Implement the Attributes Table

Lecture 28: ProductType Table Requirements Analysis

Lecture 29: ProductType Table Test Case Development

Lecture 30: Implement the ProductType Table

Lecture 31: AttributeValue Table Requirements Analysis

Lecture 32: AttributeValue Table Test Case Development

Lecture 33: Implement the AttributeValue Table

Lecture 34: ProductLine-AttributeValue Table Requirements Analysis

Lecture 35: ProductLine-AttributeValue Table Test Case Development

Lecture 36: Implement the ProductLine-AttributeValue Table

Lecture 37: Product-ProductType Table Requirements Analysis

Lecture 38: Product-ProductType Table Test Case Development

Lecture 39: Implement the Product-ProductType Table

Chapter 7: End Point Development Unit Testing

Lecture 1: FastAPI Error Logging

Lecture 2: Analysis of Category Functional Specifications

Lecture 3: Unit Testing Overview

Lecture 4: Test Planning for Category Endpoint – (Add a New Category)

Lecture 5: Pydantic Schemas – Serialisation and Deserialization

Lecture 6: Unit Test: Pydantic Schema

Lecture 7: Unit Test: Inserting a New Category

Lecture 8: Exploring FastAPI Router Usage

Lecture 9: Endpoint Creation: Post Method for Creating New Categories

Lecture 10: Introducing Get, Post, Put, Delete

Lecture 11: Unit Test Development: Capturing Insertion Constraints for Categories

Lecture 12: Endpoint Implementation: Defining Insertion Constraints for Categories

Lecture 13: Unit Test Development: Handling Exceptions in Category Functionality

Lecture 14: Endpoint Implementation: Managing Exceptions in Category Endpoints

Lecture 15: Test Planning for Category Endpoint – (Get All Categories)

Lecture 16: Unit Test Development – (Get All Categories)

Lecture 17: Endpoint Implementation – (Get All Categories)

Lecture 18: Test Planning for Category Endpoint – (Get Single Record from Parameter)

Lecture 19: Unit Test Development – (Get Single Record from Parameter)

Lecture 20: Endpoint Implementation – (Get Single Record from Parameter)

Lecture 21: Test Planning for Category Endpoint – (Update Single Record from Parameter)

Lecture 22: Unit Test Development – (Update Single Record from Parameter)

Instructors

Rating Distribution

  • 1 stars: 1 votes
  • 2 stars: 1 votes
  • 3 stars: 2 votes
  • 4 stars: 7 votes
  • 5 stars: 47 votes

Frequently Asked Questions


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You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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