Try Python Flask API Development 2024

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Very Academy

5:52:02

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1. Introduction

1. Introduction.mp4

01:52

2.1 Database ERD.pdf

2.2 Section 3-7 - Source Code.zip

2. Project Source Code.mp4

00:28

2. Preparing For Python Development

1. Installing Python 3.x on Windows.mp4

03:05

2. Installing Python 3.x on Mac.mp4

03:50

3. Visual Studio Code Install and Initial Configuration on Windows.mp4

06:52

4. Visual Studio Code Install and Initial Configuration on Mac.mp4

09:39

5. Introduction to Virtual Environments.mp4

02:31

6. Virtual Environments on Windows.mp4

08:17

7. Virtual Environments on MacOS.mp4

04:24

3. Starting the Project

1. Creating a new Flask Project.mp4

22:28

2. Managing Dependencies with PIP.mp4

05:30

3. Project Linting and Formatting Setup.mp4

12:29

4. DockerDatabase Setup

1. Dockerizing PostgreSQL.mp4

16:26

2. Using a Docker Environment Variables File.mp4

05:18

3. Creating a PostgreSQL Setup Script.mp4

13:09

5. Flask API Factory Approach

1. The Flask API Factory Approach.mp4

01:56

2. Flask API project structure.mp4

04:31

3. Flask API Entry Point.mp4

11:11

4. Using Environment Variables.mp4

06:47

5. Defining a Modular Project Configuration.mp4

17:46

6. Models and Database Synchronisation

1. SQLAlchemy ORM.mp4

10:38

2. Database ERD.mp4

07:37

3. Creating Models - Category.mp4

17:59

4. Creating Models - Product.mp4

14:32

5. Creating Models - ProductLine.mp4

10:44

6. Creating Models - ProductImage.mp4

04:07

7. Creating Models - SeasonalEvent.mp4

05:33

8. Implementing Alembic Migration System.mp4

11:45

9. Migrating Models to the Database with SQLAlchemy and Alembic.mp4

10:02

10. Finalising Models.mp4

09:41

7. Building Our First API End Point

1. Registering Blueprints.mp4

09:41

2. Creating Schemas with Marshmellow.mp4

15:01

3. APIFairy API Framework.mp4

12:52

4. Building an API Route - Return All Categories.mp4

04:10

5. Implementing Swagger-UI API Documentation.mp4

09:32

8. Inserting Data into the Database

1. Database Insertion Workflow.mp4

10:42

2. Building an API Route - Inserting a New Category Record.mp4

28:57

Description

Start learning Flask API development in 2024

What You'll Learn?

Confidently build Flask APIs that interact with databases.
Implement data models using SQLAlchemy.
Create well-structured and documented API endpoints.
Utilise Docker for streamlined workflow management.

Who is this for?

Anyone new to Flask looking to take their first steps building an API in Flask.

What You Need to Know?

No programming needed, everything will provided.

More details

Description
Master data creation & management with Flask APIs and a modern workflow

This project-based course delves into building a full-fledged Flask API application, empowering you to effectively create, manage, and serve dynamic data. By the end, you'll have a robust API and the hands-on skills to tackle real-world data-driven projects.

What you'll learn:

Solid foundations: Set up your Flask project, manage dependencies, and implement linting for professional code.
Modern containerisation: Leverage Docker to manage your database (PostgreSQL) and environment variables seamlessly.
Structured & scalable: Follow the Flask API factory approach for a well-organised and maintainable project structure.
Powerful ORM: Utilise SQLAlchemy to map your data models to the database and ensure seamless interaction.
Data modelling: Design and implement comprehensive models to represent your data entities effectively.
Migrations & version control: Manage database schema changes using Alembic for a smoother workflow.
API construction: Build robust API endpoints using best practices, blueprints, and data validation with Marshmallow.
Comprehensive documentation: Integrate Swagger-UI to provide API documentation for easy consumption and usage.

Course outline:

Project Setup: Learn how to set up a Flask project, manage dependencies, and configure linting.
Docker & Database: Discover containerisation with Docker, explore PostgreSQL setup, and utilise environment variables effectively.
Flask API Factory: Understand the factory approach, implement the project structure, and configure the entry point.
Models & Database: Dive into SQLAlchemy, design your data model, create models for various entities, and leverage Alembic for migrations.
Building an API: Register blueprints, utilise Marshmallow for data validation, create your first API endpoint, and integrate Swagger-UI documentation.

Who should take this course:

Anyone new to Flask looking to take their first steps building an APIÂ in Flask.

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

Confidently build Flask APIs that interact with databases.
Design and implement data models using SQLAlchemy.
Create well-structured and documented API endpoints.
Utilise Docker for streamlined workflow management.

Ready to create data-driven solutions with Flask APIs? Enrol today!
Who this course is for:
Anyone new to Flask looking to take their first steps building an APIÂ in Flask.

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Very Academy is an online education provider that offers a vast and ever-growing catalogue of tutorials and courses. Very Academy's mission is to provide universally accessible, highest quality Computer Science and Technology education. By providing you with the most relevant, highest-quality learning experiences to support your learning, we hope to help foster students into global competent professionals in the field of Computer Science and Technology.We hope you enjoy our courses and hope to bring you much more in the future. Don't forget to check out the Very Academy YouTube channel for more helpful tutorials.

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