Description
Build a Twitter clone GraphQL API using Golang course. This course teaches you how to develop a Twitter-like GraphQL API using Go and the gqlgen library. Go is one of the most popular backend languages due to its simplicity, excellent performance, and powerful standard library. This course uses gqlgen, a code generation framework for building GraphQL APIs with a Schema-First approach and Type-Safety support, where you define your schema and gqlgen automatically generates the corresponding code, including type-safe resolvers, so you can focus on implementing business logic. Tools used include PGX (PostgreSQL driver), Scany (database scanning results), Dataloaden (data loading management), golang-migrate (migration management), Insomnia (API testing), Chi (routing), PostgreSQL (database), godotenv (environment variable management), and Testify (test writing), which help you develop an efficient and secure API.
What you will learn
- Using Golang and gqlgen: Participants will learn how to build a GraphQL API to simulate Twitter using these two tools.
- Building a Schema-Based API: Using Schema First design, participants will learn how to define the structure of their API and let gqlgen generate Go code.
- Using various libraries: Participants will learn how to use libraries such as PGX, scany, Dataloaden, golang-migrate, Chi, PostgreSQL, and testify in the project.
- Creating Business Logic: Learn how to implement your business logic in Resolvers.
This course is suitable for people who:
- People with basic Golang knowledge: This course is designed for people who are already familiar with Golang and want to learn how to build a practical project with the language. This course is not intended as an introduction to the Golang language.
- GraphQL enthusiasts: People interested in building APIs with GraphQL.
- Backend Developers: Backend developers who want to increase their skills in using Golang and GraphQL to build powerful applications.
Course details: Build a Twitter clone GraphQL API using Golang
- Publisher: EQuimper
- Instructor: Emanuel Quimper
- Training level: Beginner to advanced
- Training duration: 7 hours and 30 minutes
- Number of lessons: 34
Course topics
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 1080p
Changes:
Version 2024/2 compared to 2023/1 has increased by 1 lesson and 12 minutes in duration.
Download link
Downloadly
Rapidgator
File(s) password: www.downloadly.ir
File size
1.28 GB
