Try Python Flask API Development 2024

Try Python Flask API Development 2024, available at $54.99, has an average rating of 4.7, with 46 lectures, 1 quizzes, based on 14 reviews, and has 188 subscribers.

You will learn about 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. This course is ideal for individuals who are Anyone new to Flask looking to take their first steps building an API in Flask. It is particularly useful for Anyone new to Flask looking to take their first steps building an API in Flask.

Enroll now: Try Python Flask API Development 2024

Summary

Title: Try Python Flask API Development 2024

Price: $54.99

Average Rating: 4.7

Number of Lectures: 46

Number of Quizzes: 1

Number of Published Lectures: 46

Number of Curriculum Items: 47

Number of Published Curriculum Objects: 46

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will 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 Should Attend

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

Target Audiences

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

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 API 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!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Project Source Code

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: Starting the Project

Lecture 1: Creating a new Flask Project

Lecture 2: Managing Dependencies with PIP

Lecture 3: Project Linting and Formatting Setup

Chapter 4: Docker/Database Setup

Lecture 1: Dockerizing PostgreSQL

Lecture 2: Using a Docker Environment Variables File

Lecture 3: Creating a PostgreSQL Setup Script

Chapter 5: Flask API Factory Approach

Lecture 1: The Flask API Factory Approach

Lecture 2: Flask API project structure

Lecture 3: Flask API Entry Point

Lecture 4: Using Environment Variables

Lecture 5: Defining a Modular Project Configuration

Chapter 6: Models and Database Synchronisation

Lecture 1: SQLAlchemy ORM

Lecture 2: Database ERD

Lecture 3: Creating Models – Category

Lecture 4: Creating Models – Product

Lecture 5: Creating Models – ProductLine

Lecture 6: Creating Models – ProductImage

Lecture 7: Creating Models – SeasonalEvent

Lecture 8: Implementing Alembic Migration System

Lecture 9: Migrating Models to the Database with SQLAlchemy and Alembic

Lecture 10: Finalising Models

Chapter 7: Building Our First API End Point

Lecture 1: Registering Blueprints

Lecture 2: Creating Schemas with Marshmallow

Lecture 3: APIFairy API Framework

Lecture 4: Building an API Route – Return All Categories

Lecture 5: Implementing Swagger-UI API Documentation

Chapter 8: Inserting Data into Single Tables

Lecture 1: Database Insertion Workflow

Lecture 2: Building an API Route – Inserting a New Category Record

Lecture 3: Building an API Route – Inserting a New Product Record

Lecture 4: Building an API Route – Inserting a New Product Line Record

Lecture 5: Building an API Route – Inserting a New Product Line Image Record

Lecture 6: Building an API Route – Add a new Attribute Record

Lecture 7: Building an API Route – Add a new Seasonal Event

Lecture 8: Building an API Route- Add a New Product Type Record

Lecture 9: Building an API Route- Add a New Attribute Value Record

Chapter 9: Inserting Data into Many-to-Many Tables

Lecture 1: Inserting into Product, Product Type Link Table (Many-to-Many Table)

Lecture 2: Inserting into ProductLine, Attribute Value Link Table (Many-to-Many Table)

Instructors

Very Academy
Technical Education

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5 stars: 10 votes

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