Advanced Python Programming and Applications Yr 13

About Course

Course Overview: Welcome to the Advanced Python Programming and Applications course! This course is designed to challenge and expand your Python programming skills to an expert level. You will delve into advanced algorithms, explore real-world applications, and master various libraries and tools. By the end of this course, you’ll be equipped to tackle complex programming challenges and build practical projects.

Course Content

Lesson 1: Advanced Sorting and Searching Algorithms
o In-depth study of algorithms like heapsort, radix sort, and binary search.

Lesson 2: Graph Algorithms and Traversal
o Explore graph algorithms, traversal techniques, and applications.

Lesson 3: Dynamic Programming
o Master dynamic programming concepts and solve optimization problems.

Lesson 4: Software Development Life Cycle
o Understand SDLC phases, version control, and collaborative coding.

Lesson 5: Design Patterns and Architectural Principles
o Dive into design patterns like Observer, Factory, and MVC architecture.

Lesson 6: Advanced Web Frameworks
o Build dynamic web applications using Django, Flask, or similar frameworks.

Lesson 7: RESTful APIs and Microservices
o Create and consume RESTful APIs, and design microservices.

Lesson 8: Data Preprocessing and Feature Engineering
o Explore techniques to clean, preprocess, and engineer features in datasets.

Lesson 9: Advanced Machine Learning Models
o Study ensemble methods, deep learning, and natural language processing.

Lesson 10: Cloud Platforms and Deployment
o Deploy applications to cloud platforms like AWS, Azure, or Google Cloud.

Lesson 11: Continuous Integration and Deployment
o Learn CI/CD principles, automate testing, and deploy with confidence.

Lesson 12: Artificial Intelligence and Ethics
o Discuss ethical concerns in AI, bias, privacy, and responsible AI development.

Lesson 13: Future of Python and Emerging Technologies
o Explore emerging technologies like quantum computing, blockchain, etc.

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Advanced Python Programming and Applications Yr 13

About Course

What Will You Learn?

Course Content

Lesson 1: Advanced Sorting and Searching Algorithms o In-depth study of algorithms like heapsort, radix sort, and binary search.

Lesson 2: Graph Algorithms and Traversal o Explore graph algorithms, traversal techniques, and applications.

Lesson 3: Dynamic Programming o Master dynamic programming concepts and solve optimization problems.

Lesson 4: Software Development Life Cycle o Understand SDLC phases, version control, and collaborative coding.

Lesson 5: Design Patterns and Architectural Principles o Dive into design patterns like Observer, Factory, and MVC architecture.

Lesson 6: Advanced Web Frameworks o Build dynamic web applications using Django, Flask, or similar frameworks.

Lesson 7: RESTful APIs and Microservices o Create and consume RESTful APIs, and design microservices.

Lesson 8: Data Preprocessing and Feature Engineering o Explore techniques to clean, preprocess, and engineer features in datasets.

Lesson 9: Advanced Machine Learning Models o Study ensemble methods, deep learning, and natural language processing.

Lesson 10: Cloud Platforms and Deployment o Deploy applications to cloud platforms like AWS, Azure, or Google Cloud.

Lesson 11: Continuous Integration and Deployment o Learn CI/CD principles, automate testing, and deploy with confidence.

Lesson 12: Artificial Intelligence and Ethics o Discuss ethical concerns in AI, bias, privacy, and responsible AI development.

Lesson 13: Future of Python and Emerging Technologies o Explore emerging technologies like quantum computing, blockchain, etc.