Python Level 3 – Advanced Python
Prepare for machine learning, algorithms, and advanced real-world projects.
Course Syllabus
Arrays & Lists (intro & usage)
Understanding arrays and advanced list operations
Topics Covered:
- Array concepts
- List vs Array differences
- Memory management
- Performance considerations
Advanced List Operations
Mastering complex list manipulations and algorithms
Topics Covered:
- List comprehensions
- Advanced slicing
- List algorithms
- Performance optimization
Linked Lists (concept)
Understanding linked list data structure concepts
Topics Covered:
- Linked list theory
- Node structure
- Advantages vs arrays
- Use cases
Linked List Implementation
Building linked lists from scratch in Python
Topics Covered:
- Node class creation
- Insertion operations
- Deletion operations
- Traversal methods
Stacks (concept & use cases)
Understanding stack data structure and applications
Topics Covered:
- LIFO principle
- Stack operations
- Real-world applications
- Stack use cases
Stack Implementation (list-based)
Implementing stack using Python lists
Topics Covered:
- Push operation
- Pop operation
- Peek operation
- Stack applications
Queues (concept & variations)
Understanding queue data structure and its types
Topics Covered:
- FIFO principle
- Queue types
- Circular queues
- Priority queues
Queue Implementation
Building queue data structure from scratch
Topics Covered:
- Enqueue operation
- Dequeue operation
- Queue using lists
- Queue applications
Quiz 1 & Review
Testing knowledge of basic data structures
Topics Covered:
- Arrays and lists quiz
- Linked lists quiz
- Stacks and queues review
- Problem solving practice
Trees (intro & terminology)
Introduction to tree data structures
Topics Covered:
- Tree concepts
- Tree terminology
- Tree types
- Tree applications
Binary Trees (insert & traversal)
Working with binary tree structures
Topics Covered:
- Binary tree structure
- Node insertion
- Tree construction
- Basic traversal
Binary Tree Traversal (inorder, preorder, postorder)
Implementing different tree traversal methods
Topics Covered:
- Inorder traversal
- Preorder traversal
- Postorder traversal
- Traversal applications
Binary Search Tree (insert, search, delete)
Implementing binary search tree operations
Topics Covered:
- BST properties
- Insertion algorithm
- Search algorithm
- Deletion algorithm
Graph Basics (representation)
Introduction to graph data structures
Topics Covered:
- Graph concepts
- Graph types
- Adjacency matrix
- Adjacency list
Graph Traversal (DFS)
Implementing Depth-First Search algorithm
Topics Covered:
- DFS algorithm
- Recursive DFS
- Iterative DFS
- DFS applications
Graph Traversal (BFS)
Implementing Breadth-First Search algorithm
Topics Covered:
- BFS algorithm
- Queue-based BFS
- Level-order traversal
- BFS applications
Quiz 2 & Review
Testing knowledge of advanced data structures
Topics Covered:
- Trees quiz
- Graph algorithms quiz
- Traversal methods review
- Algorithm analysis
Hashing Basics & Hash Functions
Understanding hashing concepts and hash functions
Topics Covered:
- Hash function concepts
- Hash table basics
- Hash function design
- Hash applications
Implementing a Hash Table
Building hash table from scratch
Topics Covered:
- Hash table implementation
- Key-value storage
- Hash function integration
- Performance analysis
Collision Handling Methods
Dealing with hash collisions
Topics Covered:
- Collision types
- Chaining method
- Open addressing
- Collision resolution strategies
Heaps (min & max heap)
Understanding heap data structure
Topics Covered:
- Heap properties
- Min heap implementation
- Max heap implementation
- Heap operations
Priority Queues Implementation
Building priority queues using heaps
Topics Covered:
- Priority queue concept
- Heap-based implementation
- Priority operations
- Real-world applications
Mini Project: Task Scheduler
Building a task scheduling system using data structures
Topics Covered:
- Priority-based scheduling
- Queue management
- Task prioritization
- System design
Final Project: Mini Social Network
Creating a social network using graphs and advanced data structures
Topics Covered:
- Graph-based relationships
- User connections
- Data structure integration
- System architecture
Q&A / Revision
Interactive Q&A session and concept revision
Topics Covered:
- Data structure review
- Algorithm optimization
- Performance analysis
- Best practices
Q&A / Revision
Final Q&A session and course wrap-up
Topics Covered:
- Advanced algorithms
- Project presentations
- Career guidance
- Course completion
What You'll Learn
Course Summary
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