README.md

TOC

• Stage A.1
• Stage A.2
• Stage B.1
• Stage B.2
• Stage C.1
• Stage C.2
• Stage C.3
• Stage D.1
• Stage D.2

Software Engineering Interview Preparation | Current

See this post and this for more background and tips on preparing for an interview.

Blueprint to cover

      “Recall is the key”

• DSA/Algos
  • Discrete mathematics
  • Algorithms
  • Basics
• Design
  • Primer
  • Grokking
• Practics Questions
  • Complete 200 questions
  • Do experienced questions

Sub-TOC

• Algorithms Coursera
  • Part I
  • Part II
• Discrete Mathematics Coursera
• Educative courses | Courses
  • Scalability
    • Web application
    • Microservice/Mircroservices Architecture
    • Grokking system design
• Book List
  • Design book
    • Kafka
    • …
  • Guides
    • Elements
    • …
• Programming and DSA
  • GFG
    • DSA / Algorithms
    • Must do questions / Topic wise / Product Based
    • Java
  • Interview Bit file
  • Fucking Algorithm
  • HackerEarth CodeMonk

————————————————————————————————————

Check this flow :

Start from SUMMARY (or see below). It's also available in GitBook format for easier reading and navigation.

A.1 Topics

Crash Course!

• Complexity
• Data Structures
• Data Structures Examples
• Algorithms
• Algorithms Examples
• Bit Operators
• Numbers
• Operating Systems
• System Architecture
  • Review Concepts
• System Architecture Examples
• Networking
• Strings
• Java
• Java Examples
• OOP
• P,NP

A.2 Topics

Jet Brains!

Hyperskills jetbrains

• java: 20/22
  • design patterns
  • functional programming
• algorithms
  • graphs
• essentials
• devtools
• databases
• maths

B.1 More to follow

• Design repository
• Tech Interview handbook
• Java Guide (Walkthrough atleast once) <- Requires: Java Jetbrains
  • Gitbook link
• DP for interviews book
• Tech Primer
  • Serverless
  • Microservice(14/23)

B.2 Practice questions

• Here (53/72) | -Finish by Friday Feb 6 as per plan-- Review 50 Question
• One daily question afterwards | Design focus | generic questions | review
• Fucking algorithm
• GeeksForGeeks
• CodeMonk | More practice

Key pointers specific to leetcode: 1. Pick a topic and solve problems with that. Do not move to a different topic before finishing it. 2. Solve Easy, Medium & Hard problems in 3:6:1 ratio (3:5:2 is also recommended). 3. Solve Easy problems by sorting them on two factors

C.1 Last Stage

• System Design Primer

  • Youtube Playlist: 1,2,3,4,5, Review
  • Short Playlist
  • Design Playlist : Play along with books
  • Aditya Verma

• Manage Microservices book walkthrough

• Spring boot book walkthrough

C.2 Practice more questions

• Experienced Practice questions

C.3 Nice to have

• Data Science skills
• ML skills
• Educative courses
  • Track-1 : Must
  • Track-2 : Nice to have

D.1 Complete Knowledge

• University Repo
• Full proof guide

D.2 Books to read

Clean Architecture by Robert Martin

• Introduction
  • Chapter 1
  • Chapter 2
  • Chapter 3
  • Chapter 4
  • Chapter 12
  • Chapter 13
  • Chapter 14
  • Chapter 15
  • Chapter 15
• Details
  • Chapter 30
  • Chapter 31
  • Chapter 32
  • Chapter 33
  • Chapter 34
• Programming Paradigms
• Design Principles
• Component Principles
• Architecture
• Details

Building Microservices by Sam Newman

• Chapter 1: Microservices
• Chapter 2: Evolution Architecture
• Chapter 3: How to model services
• Chapter 4: Integration
• Chapter 12
• Chapter 13

CTCI

Concurrent Programming

• Fundamentals of Software Architecture: Mark Richards & Neal Ford
• Distributed systems
• Kafka an Internal Guide
• IT Architect
• Designing data intensive applications
• Big data
• Design and Analysis

D.2 Guides to read

Elements of Programming in Java

• Chapter 1
• Chapter 2
• Chapter 3
• Chapter 4
• Part III: Domain Specific
  • Chapter 24: Common Tools

Programming Interview Exposed

Grokking Algorithms

• Guide to competitive programming
• CTCI
• Grokking Algorithms

E Courses

Courses to cover

Algorithms Coursera | Part I

• Week 1
• Week 2
• Week 3
• Week 4
• Week 5
• Week 6

Algorithms Coursera | Part II

• Week 1
• Week 2
• Week 3
• Week 4
• Week 5
• Week 6

Discrete Mathematics | Link

• Mathematical Thinking in Conputer Science
• Combinatrorics and Probability
• Introduction to Graph Theory
• Number theory and Cryptography
• Delivery Problem

Software Design And Architecture | Link

• OOPs
• Design Patterns
• Software Architectures
• SOAs

REMEBER: Completing this is enough and after this you dont need any further contenet-