I am embarking on an intensive journey to master essential algorithms and data structures within 6 months. This repository serves as a comprehensive record of my strategic study plan, progress, and the projects I develop along the way. By condensing years' worth of learning into a concentrated timeframe, I aim to equip myself with the skills needed to supercharge my career in technology⚡🔥.

Join me in this accelerated learning, coding, and personal growth adventure!

##Content

1. Array

• Introduction to arrays
• Array manipulation
• Searching and sorting in arrays

2. String

• String properties
• Basic string operations
• String algorithms

3. Hash

• Hash table concepts
• Collision resolution
• Hash usage in algorithms

4. Introduction to OOP

• Fundamental OOP concepts
• Classes and objects
• Encapsulation, inheritance, and polymorphism

1. Linked List

• Singly and doubly linked lists
• Insertion, removal, and searching
• Circular lists

2. Stack

• Principles of stacks
• Stack implementation and usage
• Applications of stacks

3. Queue

• Queue concept
• Queue implementation
• Applications of queues

4. Inheritance and Polymorphism

• Inheritance and subclasses
• Polymorphism and method overriding

PROJECT CHECK ❓: Community Project 🫂

1. Tree

• Binary trees
• Tree traversals
• Balanced trees

2. Heap

• Heap structures
• Heap implementation
• Heap usage

3. Graphs

• Graph concepts
• Graph traversal
• Graph algorithms

4. Encapsulation and Access Modifiers

• Data encapsulation
• Access modifiers (public, private, protected)
• Association, aggregation, and composition
• Object relationships

PROJECT CHECK ❓: Ecommerce Project 🛒

1. Sorting

• Sorting algorithms
• Complexity analysis
• Best practices

2. Searching

• Search algorithms
• Binary search
• Breadth-first and depth-first search

3. Interfaces and Abstraction

• Interfaces and abstract classes
• Implementing interfaces

4. Exception Handling in OOP

• Handling exceptions in classes and methods
• Customizing exceptions

1. Greedy

• Greedy algorithms
• Activity selection
• Coin change algorithms

2. Sliding

• Sliding window technique
• Subarray problems

3. Window

• Moving window problems
• Two-pointer technique

4. Double Pointers

• Two-pointer usage
• Sum problems

5. Prefix Sum

• Prefix calculations
• Range problems

6. Union Find

• Union-find data structure
• Usage in algorithms

1. Backtracking

• Backtracking algorithms
• Decision problems

2. Dynamic Programming

• Dynamic programming concept
• Memoization and tabulation
• Classic problems

3. Mathematics

• Mathematical algorithms
• Prime numbers
• Chinese remainder theorem

PROJECT CHECK ❓: Academic Blog Project 📚