Data Structures & Algorithms

📊 Progress Tracking

TABLE WITHOUT ID
  "📈 Progress" as " ",
  length(filter(file.tasks, (t) => t.completed)) + "/" + length(file.tasks) + " tasks" as "Completed",
  round(length(filter(file.tasks, (t) => t.completed)) / length(file.tasks) * 100) + "%" as "Progress"
WHERE file.path = this.file.path

📋 Module Overview

Implementing fundamental algorithms and data structures

Prerequisites: Advanced Python Concepts

🎯 Learning Objectives

  • Master linear data structures
  • Master hash tables & trees
  • Master algorithms

📚 Tasks & Exercises

1. Linear Data Structures

  • Task 1.1: Implement arrays and dynamic arrays (lists)
  • Task 2.2: Create linked lists: singly and doubly linked
  • Task 3.3: Build stacks and queues with proper operations
  • Task 4.4: Practice with deque from collections module

Practice: Complete practical exercises for linear data structures

2. Hash Tables & Trees

  • Task 1.1: Understand hash tables and dictionary implementation
  • Task 2.2: Implement binary search trees with insertion/deletion
  • Task 3.3: Learn tree traversal algorithms: inorder, preorder, postorder
  • Task 4.4: Practice with heaps and priority queues

Practice: Complete practical exercises for hash tables & trees

3. Algorithms

  • Task 1.1: Master recursion: base cases, recursive cases
  • Task 2.2: Implement sorting algorithms: bubble, merge, quick sort
  • Task 3.3: Learn searching algorithms: linear, binary search
  • Task 4.4: Practice algorithm analysis and Big O notation

Practice: Complete practical exercises for algorithms

📖 Resources

Required Reading

Optional Materials

  • Explore additional resources as needed
  • Practice with real-world examples
  • Join community discussions

✅ Completion Criteria

Mark this module complete when you can:

  • Successfully complete all linear data structures tasks

  • Successfully complete all hash tables & trees tasks

  • Successfully complete all algorithms tasks

  • Apply concepts in practical scenarios

  • Explain key concepts to others

📝 Notes Section

Use this space for your personal notes and insights while learning


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