Python Programming Mastery: Building Complex Applications Year 11

About Course

Course Overview: Welcome to Python Programming Mastery! This course is designed to take your coding skills to new heights by focusing on building complex applications and solving real-world challenges. From advanced algorithms to web development and machine learning, this course will equip you with the expertise to develop sophisticated programs and prepare you for higher-level coding endeavors.

Course Content

Lesson 1: Graph Algorithms
o Explore graph theory and implement graph algorithms like Dijkstra's and Kruskal's.

Lesson 2: Dynamic Programming
o Study dynamic programming techniques for optimization problems.

Lesson 3: Advanced Data Structures
o Dive into advanced data structures like trees, heaps, and hash tables.

Lesson 4: Advanced OOP Concepts
o Understand encapsulation, inheritance, polymorphism, and abstraction.

Lesson 5: Design Patterns and Refactoring
o Learn about design patterns like MVC, observer, and refactoring techniques.

Lesson 6: Building Web Applications with Flask
o Master Flask, creating dynamic web applications with templates and forms.

Lesson 7: API Development and Authentication
o Learn to create RESTful APIs and implement user authentication.

Lesson 8: Data Analysis with Pandas
o Perform advanced data manipulation and analysis using Pandas.

Lesson 9: Introduction to Machine Learning Algorithms
o Study regression, classification, and clustering algorithms.

Lesson 10: Concurrency and Multithreading
o Explore concurrent programming using threads and asynchronous programming.

Lesson 11: Testing and Debugging Techniques
o Learn testing methodologies and debugging strategies for complex projects.

Lesson 12: Building a Real-World Application
o Work on a comprehensive project integrating various concepts learned.

Lesson 13: Exploring Emerging Technologies
o Get acquainted with AI, IoT, and blockchain concepts.

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Python Programming Mastery: Building Complex Applications Year 11

About Course

What Will You Learn?

Course Content

Lesson 1: Graph Algorithms o Explore graph theory and implement graph algorithms like Dijkstra's and Kruskal's.

Lesson 2: Dynamic Programming o Study dynamic programming techniques for optimization problems.

Lesson 3: Advanced Data Structures o Dive into advanced data structures like trees, heaps, and hash tables.

Lesson 4: Advanced OOP Concepts o Understand encapsulation, inheritance, polymorphism, and abstraction.

Lesson 5: Design Patterns and Refactoring o Learn about design patterns like MVC, observer, and refactoring techniques.

Lesson 6: Building Web Applications with Flask o Master Flask, creating dynamic web applications with templates and forms.

Lesson 7: API Development and Authentication o Learn to create RESTful APIs and implement user authentication.

Lesson 8: Data Analysis with Pandas o Perform advanced data manipulation and analysis using Pandas.

Lesson 9: Introduction to Machine Learning Algorithms o Study regression, classification, and clustering algorithms.

Lesson 10: Concurrency and Multithreading o Explore concurrent programming using threads and asynchronous programming.

Lesson 11: Testing and Debugging Techniques o Learn testing methodologies and debugging strategies for complex projects.

Lesson 12: Building a Real-World Application o Work on a comprehensive project integrating various concepts learned.

Lesson 13: Exploring Emerging Technologies o Get acquainted with AI, IoT, and blockchain concepts.