π Prerequisites #
Before diving into the Smart Library System project, itβs important to ensure that students or participants have the foundational knowledge and hands-on exposure to the following areas:
π 1. Basic Understanding of Web Application & Development #
- Understand the client-server model.
- Familiarity with how a web application works (browser β server β database).
- Concept of HTTP verbs:
GET
,POST
,PUT
,DELETE
, etc. - Awareness of RESTful API principles:
- Resource-oriented endpoints
- Stateless communication
- Uniform interface
π§ 2. API Development in Any Language #
Participants should have prior experience with creating APIs in any programming language.
π‘ Reference: Check out the π οΈ Tools & Technology Stack section for supported languages and frameworks (Python, Node.js, Java, C#).
Minimum experience includes:
- Routing & endpoint creation
- Accepting and parsing JSON input
- Sending JSON responses
- Status codes (
200 OK
,400 Bad Request
, etc.)
ποΈ 3. Basic Database Understanding #
Familiarity with relational databases such as PostgreSQL, MySQL, or MSSQL.
Students should know:
- Creating tables and defining schema
- Performing CRUD operations:
SELECT
,INSERT
,UPDATE
,DELETE
- Concepts like:
- Primary keys
- Foreign keys
- Relationships (one-to-many, many-to-many)
π 4. Database Integration with Backend #
Experience connecting an application to a database, such as:
- Using ORM (like SQLAlchemy, TypeORM, Hibernate, EF Core)
- Writing raw SQL queries or using query builders
- Handling database migrations (bonus)
- Performing DB transactions inside the application code
π 5. API Testing Skills #
Comfortable with using tools like Postman or Bruno to:
- Send requests to an API
- Provide JSON body and headers
- View responses and validate status codes
- Automate collections for repeated tests
π‘ For tools, see: API Testing Tools
π 6. Debugging Experience #
The ability to identify and troubleshoot bugs during development.
This includes:
- Reading and understanding stack traces
- Using logging tools or breakpoints (e.g.,
print
,console.log
,logger.debug()
) - Fixing common backend issues:
- DB connection errors
- Invalid input handling
- Unhandled exceptions
β Note: These skills will ensure a smoother experience throughout the project and allow participants to focus on designing scalable microservices rather than struggling with basic development issues.