Welcome to WEB3 101

Syllabus

CS Fundamentals in Python

Getting Started

Steps for your particular use case:

macOS

• Install Docker

Chromebook

• google chrome developer tools

Create the following free accounts

• gmail.com
• github.com
• repl.it
• stackblitz.com
• glitch.com

Windows

• Install Docker

Programming Concepts (10 pts)

• Run Python in a Docker Container locally

docker run -it python:3.8

Problem Solving

• Daily Warmups
• Working with Arrays
• Working with Objects

Introduction to Concepts

• Math Operations
• Arrays
• Strings
• Binary Search
• Bit-Manipulation (Bitwise)
• Pointers
• Recursion
• Hashing
• Sorting
• Stacks
• Queues
• Linked Lists
• Trees
• Tries
• Heap
• Backtracking
• Greedy
• Dynamic Programming
• Graphs
• Databases
• Objects

Introduction to Data Structures & Algorithms (20 pts)

• Algorithm Visualizer
• Data Structures & Algorithms
• JS Algorithms
• Immutability

Assessments

• Largest num in array
• Is a palindrome
• Largest branch in binary tree

OSI

• Physical Layer
  • OS
  • Disk
  • Memory
  • CPU
• Data Link Layer
  • DB
• Network Layer (Layer 3)
  • IP Address
• Transport (Layer 4)
  • TCP/IP
• Session
• Presentation
• Application (Layer 7)
  • HTTP

Assessment

• Weekly contests to gauge conceptual understanding and problem-solving abilities
• Particular focus on complex topics like Dynamic Programming and Graphs (e.g., traversals, shortest paths, etc.)

Programming Languages

JS

• JS101
• ES6 Foundations
• Map, Filter, Reduce
• Transducers
• Unit Tests

GO

• GO101
• Go Test

Specalization (5 pts)

Backend

• MVC
• REST APIs
• ORM
• SpringBoot
• Views
• Database Indexes
• Multithreading

Full-Stack

Become a Javascript expert which will enable you to excel in any role.

• Building a server, Intro to MVC
• Web architecture, HTML, CSS, Javascript
• Node.js, Backend Architecture, MongoDB, React/Redux

Data Engineering (Specalization)

• Intro to Data Engineering

• Building efficient Data Processing Systems

• Advanced SQL

• Cloud Services

• Cloud Agnostic

• AWS, GCP, and Azure pros/cons

• Developing ETL pipelines

• Map-Filter-Reduce

• ELK

• Big Data

• Hadoop

• Kafka

• Spark

• Data Warehousing

• Data Modeling

• OLAP

• Dashboarding

• AWS/GCP Deployment

• Workflow Orchestration

• Apache Airflow

• Logging

• Monitoring

• Focus on building foundational skills that will enable you to solve all the major problems pertaining to data storage and management.

• Understand the complexities of developing end-to-end pipelines with hands-on experience.

Assessment

• Capstone Project (Backend, Full-stack, Data engineering)

Design (10 pts)

Low Level Design

• OOP
• UML
• Schema Design
• Architecture
  • Microservices
    • Sidecar - The Sidecar pattern is used to augment the functionality of a microservice by running additional processes or services in the same deployment unit (like a container or pod). This allows for modularization of concerns such as logging, monitoring, configuration, and communication.
• Design Principles (SOLID, Gang of Four)
• SOLID
• GoF
• Orthogonally - A concept where components or systems are designed in such a way that changes in one do not affect others. It emphasizes minimizing dependencies between components to increase modularity and reduce the risk of side effects.
  • Dependency Management
  • Inversion of Control (IoC)
  • Dependency Injection - Dependency Injection promotes orthogonality by reducing the dependencies between components. By injecting dependencies into a class rather than having the class instantiate them itself, DI decouples the class from its dependencies, making it easier to change one without affecting the other. This promotes a more modular and maintainable system, which aligns with the principles of orthogonality.
  • Coupling
  • Cohesion

Design Patterns

• Creational
  • Factory Method
  • Singleton
  • Builder
  • Abstract Factory
  • Prototype
• Structural
  • Adapter
  • Facade
  • Decorator
  • Bridge
  • Composite
  • Proxy
  • Flyweight
• Behavioral
  • Command
  • Observer
  • Strategy
  • Interpreter
  • Chain of Responsibility
  • Iterator
  • Mediator
  • Memento
  • State
  • Template Method
  • Visitor

Real-World Design (Low-Level)

• Movie Ticket Booking System
• Expense Sharing Application
• Distributed Cache
• Parking Lot

Assesment & Objective

• Real-world case studies and examples on large scale open source repositories
• Hands-on working code implementation in class for every case study
• TA Driven Code Reviews and Assignments
• Detailed discussions on Schema Designs, Design Principles and Practices

High Level Design

• Scaling (Horizontal vs Vertical)
• DNS Lookup/DNS Servers
• Load Balancer
• Consistent Hashing
• Caching and CDN
• CAP Theorem
• Master-Slave
• Multi-Master
• SQL vs NoSQL DB
• Zookeeper + Kafka
• Quad Trees
• Monoliths & Microservices

Real-World Design (High-Level)

• Search Typehead
• Search Engine (Google)
• Social Chat (Messenger)
• Social KB (Quora)
• Distribuited Crawler
• Video Streaming Platform
• Train Ticket Booking System

Complex systems

• Cassandra DB
• Distributed File Systems

Containers

• Docker101

Integration Tests

• Swagger
• Scaling secrets

CI

• Linting with Git Hooks

Web3

• React Server Components
• RSC Demo
• Institute of Free Technology
• Smart Conracts in Solidity

Reference

• Glossary
• UX Terminology
• Gitlab Handbook