Try FastAPI Test Driven Development 2024 from Udemy

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.

What's inside

Learning objectives

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.
Show more
Show less

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.
Show more
Show less

Syllabus

Introduction

Resources

Preparing For Python Development

Installing Python 3.x on Windows

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Uses FastAPI, a modern, high-performance framework, which is increasingly adopted for building APIs due to its speed and ease of use

Employs Test-Driven Development (TDD), a software development process that leads to more robust and maintainable code, which is highly valued in professional settings

Covers Docker for containerization, which simplifies deployment and ensures consistency across different environments, a crucial skill for modern API development

Includes database management with PostgreSQL, a popular open-source relational database, and SQLAlchemy, a powerful Python ORM, which are essential for building data-driven APIs

Requires installing and configuring several tools, such as Docker and PostgreSQL, which may require learners to have a computer with sufficient processing power and storage

Focuses on database migrations using Alembic, which is essential for managing database schema changes in a collaborative development environment, but may be complex for beginners

Reviews summary

Fastapi tdd practical guide

According to learners, this course offers a largely positive experience, focusing heavily on practical application of Test-Driven Development with FastAPI. Students found the course provides clear guidance on building robust APIs and integrating essential tools like Docker, PostgreSQL, and Pytest. While many praise the hands-on projects and the instructor's ability to explain complex setups, some note that having prior Python experience and some familiarity with the covered technologies is beneficial, as the pace can be quick for absolute beginners. The content is seen as up-to-date and relevant for modern web development practices.

Uses recent versions of libraries and tools.

"Glad this course uses modern versions of FastAPI and Pytest."

"Content feels relevant for 2024."

"Good to see recent practices being taught."

Instructor explains complex topics effectively.

"Instructor explained complex topics clearly."

"Easy to follow along with the coding."

"The pace was just right for someone with some background."

Clearly demonstrates Test-Driven Development principles.

"The TDD approach was clearly demonstrated."

"I finally grasp how to write tests *before* the code."

"This course made TDD much less intimidating for me."

Covers FastAPI, Docker, PostgreSQL, Pytest, and more.

"Covered FastAPI, Docker, PostgreSQL, and Pytest really well."

"I now understand how all these pieces fit together."

"The integration of Docker and Alembic was particularly helpful."

Build real-world APIs using a hands-on approach.

"I really appreciated the focus on building practical applications."

"The hands-on coding and projects are the strongest part of the course for me."

"Learned how to apply TDD principles directly to API development."

"It's great to build something functional from scratch using the tools covered."

Initial environment setup can be tricky for some.

"Ran into issues getting the Docker environment configured initially."

"Dependency management was a bit confusing at first."

"Wish there was more troubleshooting help for setup issues."

"Got stuck on the database configuration step."

Assumes prior Python and development setup experience.

"Definitely need solid Python basics before starting."

"It moves quickly; not for absolute beginners."

"Some familiarity with Docker or SQL helps a lot."

"Had to pause frequently to look things up to keep pace."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Try FastAPI Test Driven Development 2024 with these activities:

Review Python Fundamentals

Show steps

Reinforce your understanding of Python syntax, data structures, and control flow to prepare for building APIs with FastAPI.

Browse courses on Python

Show steps

Complete online Python tutorials.
Work through Python exercises on platforms like HackerRank or LeetCode.
Review your previous Python projects.

Brush Up on Docker Basics

Show steps

Familiarize yourself with Docker concepts and commands to streamline database deployment and application containerization.

Browse courses on Docker

Show steps

Read Docker's official documentation.
Run Docker commands to build and manage containers.
Experiment with Docker Compose.

Read 'Test-Driven Development with Python'

Show steps

Deepen your understanding of Test-Driven Development (TDD) principles and practices to write robust and well-tested APIs.

View Architecture Patterns with Python: Enabling... on Amazon

Show steps

Read the book cover to cover.
Implement the examples in the book.
Refactor existing code using TDD.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Practice Writing Unit Tests with Pytest

Show steps

Sharpen your unit testing skills with Pytest to ensure the functionality and reliability of your FastAPI endpoints.

Browse courses on pytest

Show steps

Write unit tests for simple Python functions.
Practice using Pytest fixtures and mocks.
Explore different Pytest plugins.

Build a Simple CRUD API with FastAPI

Show steps

Apply your knowledge by building a basic API with Create, Read, Update, and Delete (CRUD) operations to solidify your understanding of FastAPI.

Show steps

Define the API endpoints and data models.
Implement the CRUD operations using FastAPI.
Write unit tests for each endpoint.
Deploy the API to a local server.

Write a Blog Post on FastAPI Testing Strategies

Show steps

Reinforce your learning by explaining different testing strategies for FastAPI applications in a blog post.

Browse courses on FastAPI

Show steps

Research different testing approaches for FastAPI.
Outline the structure of your blog post.
Write the blog post with clear examples and explanations.
Publish the blog post on a platform like Medium or Dev.to.

Contribute to a FastAPI Open Source Project

Show steps

Deepen your understanding and contribute to the FastAPI community by participating in an open-source project.

Browse courses on FastAPI

Show steps

Find a FastAPI open-source project on GitHub.
Identify an issue or feature to work on.
Submit a pull request with your changes.
Respond to feedback from the project maintainers.

Career center

Learners who complete Try FastAPI Test Driven Development 2024 will develop knowledge and skills that may be useful to these careers:

Backend Developer

A Backend Developer is responsible for building and maintaining the server-side logic of web applications, and this course aligns perfectly with that role. This course gives you direct experience building APIs with FastAPI and using test-driven development. These are critical skills for any backend developer who wants to create robust, secure, and scalable applications. The course includes database management with PostgreSQL, SQLAlchemy, and Alembic, all of which are essential tools in backend development. The skills learned throughout the course will enable the backend developer to write well-tested, production-ready code.

See salaries and explore the career path for Backend Developer

API Developer

An API Developer specializes in designing, building, and maintaining Application Programming Interfaces, and this course is directly applicable. This course focuses on FastAPI, a framework for building APIs, and uses a test-driven development approach. This is a critical skill for any API developer, who must build reliable and well-documented interfaces. The course covers many aspects of the API development process including error logging, Pydantic schemas for data validation, and various testing techniques, all of which equip the API developer with the skills needed to build high-quality APIs.

See salaries and explore the career path for API Developer

Software Engineer

The role of a Software Engineer is broad, encompassing the design, development, and testing of software systems, and this course provides valuable skills relevant to this role. This course equips a software engineer with practical skills in building, testing, and deploying APIs. The focus on test driven development, database management, and tools like Docker are all beneficial throughout the software development lifecycle. Learning how to develop and test API endpoints, as covered in this course, will be a valuable addition to the skillset of a software engineer.

See salaries and explore the career path for Software Engineer

Full-Stack Developer

A Full Stack Developer works on both the front-end and back-end of web applications. This course gives those working on the backend a solid foundation in API development. The course covers a wide range of technologies used in backend development, including FastAPI, Docker, PostgreSQL, and SQLAlchemy. The training in test driven development and database management will be beneficial for any full stack developer who needs to build and maintain both the client-side and server-side of web applications. The full stack developer will find value in the course's focus on building production ready APIs.

See salaries and explore the career path for Full-Stack Developer

Application Developer

An Application Developer is responsible for creating, testing, and maintaining different types of software applications, and this course builds skills that will be helpful in this role. The course teaches how to build robust APIs using FastAPI and test-driven development, which is directly applicable to the work done by application developers. The skills learned in this course, such as database management with PostgreSQL and SQLAlchemy and using Pydantic for data validation, will be valuable for building efficient and well-tested applications. Any application developer will want to learn how to develop and test API endpoints, as is included in this course.

See salaries and explore the career path for Application Developer

Test Automation Engineer

A Test Automation Engineer focuses on developing and implementing automated tests to ensure software quality. This course provides a strong foundation in test-driven development with Pytest, a central skill for a Test Automation Engineer. The course is heavily focused on testing, covering unit tests, integration tests, and manual testing techniques. The course offers a clear understanding of how to approach testing for database structures and API endpoints, which is an essential component for anyone looking to work as a Test Automation Engineer. Learning about the automation of database creation and removal will be particularly useful for this role.

See salaries and explore the career path for Test Automation Engineer

Database Administrator

A Database Administrator is responsible for the performance, integrity, and security of databases. While this course is more focused on API development, the skills learned here are still relevant for a Database Administrator. The course covers how to set up and manage PostgreSQL databases using Docker, and also teaches how to use SQLAlchemy and Alembic for database interactions and migrations. The skills developed throughout the course in creating, testing, and managing databases, along with how to integrate them into your application, will be valuable for a Database Administrator. These skills may aid a database administrator in understanding and building test cases for databases.

See salaries and explore the career path for Database Administrator

DevOps Engineer

A DevOps Engineer focuses on automating and streamlining the software development process, and this course could be beneficial for this role. The course emphasizes Docker for containerization, which is a key technology in DevOps. Learning how to set up and manage databases using Docker, as well as skills in automated testing using Pytest, will be helpful for a DevOps Engineer who needs to build, test, and deploy applications. The course provides a good foundation for understanding how test-driven development fits into the broader scope of DevOps practices. The DevOps Engineer will find value in understanding database migrations with Alembic because it affects deployment.

See salaries and explore the career path for DevOps Engineer

Solutions Architect

A Solutions Architect designs and oversees the implementation of technology solutions for a business. This course may be useful to a solutions architect who needs to understand how APIs are built and tested. The course gives a practical understanding of the technologies and approaches used in API development, including FastAPI, Docker, and test-driven development. Knowing database management, data validation, and testing techniques, will be helpful for a Solutions Architect who needs to make informed decisions about the infrastructure and technologies used in building applications. This course helps build foundational knowledge of backend systems.

See salaries and explore the career path for Solutions Architect

Technical Lead

A Technical Lead is responsible for guiding a development team and making technical decisions. This course may provide a better understanding of the technologies used in API development. The course teaches the use of FastAPI and the importance of test-driven development, enabling the Technical Lead to make informed choices regarding the technologies and processes used in their team's projects. This course provides insight into database management with PostgreSQL, SQLAlchemy, and Alembic and is useful in evaluating their appropriate use. A Technical Lead might benefit from understanding how APIs are built using this approach.

See salaries and explore the career path for Technical Lead

Data Engineer

A Data Engineer builds and maintains infrastructure for data storage and processing. While this course is focused on API development, it does include some tools and techniques that could be relevant for a Data Engineer. The data engineer will find value in the course's focus on managing PostgreSQL databases with Docker. The course may provide insight into testing procedures and Pydantic schemas. The data engineer might benefit from a better understanding of how data is accessed and managed through an API.

See salaries and explore the career path for Data Engineer

Systems Analyst

A Systems Analyst analyzes and designs information systems and this course may provide a useful perspective for this role. The course delves into API development practices and covers databases and testing, all of which are relevant for understanding how systems process and manage data. The focus on FastAPI, Pydantic, and automated testing using Pytest helps a Systems Analyst understand how components of an application are built. While not a core focus, the course provides exposure to the technologies and the process that form a part of many information systems.

See salaries and explore the career path for Systems Analyst

Quality Assurance Analyst

A Quality Assurance Analyst is responsible for ensuring software quality through testing and analysis, and this course may be useful to them. While this course teaches test-driven development, QA typically focuses on manual testing or writing tests in a different style. The Quality Assurance Analyst will gain a better understanding of unit and integration testing. Although the course primarily focuses on API development, it will give a glimpse of the development process from a testing perspective. There will be value in the discussion of how to implement tests. The Quality Assurance Analyst might find it helpful to see how developers approach testing.

See salaries and explore the career path for Quality Assurance Analyst

Project Manager

A Project Manager is responsible for planning, executing, and closing projects, and while this course is not directly related to project management, the material may be useful. Understanding the development process can be an asset. The course teaches the process of building and testing APIs and includes an intro to Docker and test driven development. The project manager might find it useful to understand the technologies and processes used by their team, even if they do not engage with them directly. This will allow them to better manage a project's lifecycle.

See salaries and explore the career path for Project Manager

Technical Writer

A Technical Writer creates documentation for software and hardware, and while this course is not directly relevant, the technical writer might find it helpful. The course explores the use of FastAPI and other tools and how they are used in a systematic way. The technical writer may find it helpful to understand the functionality and testing of the APIs. The course might help them to better understand how to describe these kinds of systems for use by others. Gaining exposure to these technologies might broaden the scope of the technical writer's abilities.

See salaries and explore the career path for Technical Writer

Reading list

We've selected one books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Try FastAPI Test Driven Development 2024.

Architecture Patterns with Python

Save

Provides a comprehensive guide to TDD using Python. It covers the fundamentals of TDD, including writing tests before code, refactoring, and continuous integration. The book also delves into testing web applications, which is highly relevant to building APIs with FastAPI. It serves as an excellent resource for understanding and implementing TDD principles in your FastAPI projects.

Architecture Patterns with Python: Enabling Test...

Paperback

Architecture Patterns with Python: Enabling Test...

Kindle Edition

Try FastAPI Test Driven Development 2024

What's inside

Learning objectives

Syllabus

Traffic lights

Save this course

Reviews summary

Fastapi tdd practical guide

Activities

Career center

Reading list

Share

Similar courses