Syllabus- Important Facts On Node.js

Node.js is an open-source, cross-platform JavaScript runtime environment that allows developers to execute JavaScript code outside of a web browser. It was developed by Ryan Dahl in 2009, and it uses the V8 JavaScript engine, the same engine that powers Google Chrome. Node.js is widely used for building scalable, server-side and networking applications due to its non-blocking, event-driven architecture.

Session 1 – Introduction of Node.js

  • Overview of Node.js
  • Setting up Node.js Environment
  • Node.js Architecture and Event Loop
  • Creating a Simple Node.js Application
  • Understanding Node.js Modules
  • Introduction to npm and Managing Packages
  • Basic File Operations in Node.js
  • Introduction to Asynchronous Programming

Session 2 – What is Node.js

  • What is Node.js
    • A word on eventloop
    • Event-driven architecture
    • Blocking vs Non-Blocking Code
    • Setup Node.js
    • Node REPL
    • Hello World Program
    • Debugging Node.js App

Session 3 – Data Visualization

  • Introduction to Data Visualization Concepts
  • Understanding Exports and Require
  • Creating and Importing Modules
  • npm (Node Package Manager)
  • Introduction to Data Visualization Libraries
  • Using Chart.js for Data Visualization
  • Integrating D3.js with Node.js
  • Handling and Formatting Data for Visualization

Session 4 – Events & Streams

  • Introduction to Event-Driven Programming
  • Significance of Events
  • EventEmitter Class
  • Emitting and Listening to Events
  • Types of Streams
  • Working with Streams
  • Composing Streams Using Pipe

Session 5 – MongoDB Basics

  • Introduction to MongoDB
  • Setting up MongoDB Environment
  • Basic CRUD Operations
  • Understanding MongoDB Documents and Collections
  • Querying MongoDB
  • Indexing in MongoDB

Session 6 – Advanced MongoDB

  • Aggregation Framework
  • Working with MongoDB GridFS
  • Replication and Sharding
  • MongoDB Performance Tuning
  • Data Security and Backup
  • Using MongoDB with Node.js
  • Advanced Querying Techniques