Executive Development Programme in Python Full Stack: Performance Optimization Techniques

This course is designed for experienced Python developers and IT professionals aiming to enhance their skills in full-stack web development and performance optimization. Participants will gain expertise in advanced Python frameworks, database optimization, and real-time application performance tuning, equipping them with the knowledge to optimize code and systems for high performance and scalability.

Upon completion, learners will be able to implement efficient algorithms and data structures, fine-tune application architectures, and use profiling tools to identify and resolve performance bottlenecks, ensuring their projects meet the highest performance standards.

1. 1: Introduction to Python Full Stack Development: Learners will understand the basics of Python programming and full stack development, covering web frameworks like Flask and Django. They will gain foundational skills in web application development and Python programming.
2. 2: Performance Fundamentals: Learners will study the basics of performance optimization, including time and space complexity, and learn how to measure and analyze application performance. Practical skills include using profiling tools and identifying performance bottlenecks.
3. 3: Python Profiling and Debugging: Learners will explore various profiling tools and techniques to optimize Python code. They will gain hands-on experience in debugging and optimizing performance-critical sections of their applications.
4. 4: Database Optimization: Learners will learn about database performance optimization techniques, including query optimization, indexing, and database schema design. They will practice applying these techniques to improve application performance.
5. 5: Web Application Optimization: Learners will focus on optimizing web applications, covering topics such as asynchronous programming, caching strategies, and efficient use of HTTP/2. Practical skills include implementing these techniques in real-world web applications.
6. 6: Server and Infrastructure Optimization: Learners will study how to optimize server and infrastructure configurations for better performance, including load balancing, caching, and using cloud services. Practical exercises include setting up and configuring a production environment.
7. 7: Advanced Profiling and Monitoring Tools: Learners will explore advanced profiling and monitoring tools, such as New Relic and Prometheus, to gain deeper insights into application performance. They will learn how to use these tools to proactively identify and resolve performance issues.
8. 8: Performance Optimization Case Studies: Learners will analyze and optimize real-world case studies, applying the concepts learned throughout the programme. This module focuses on developing the ability to analyze complex performance issues and implement effective solutions.
9. 9: Scalability and Performance Best Practices: Learners will learn best practices for scaling web applications and ensuring high performance under load. Topics include load testing, auto-scaling, and performance tuning for large-scale applications.
10. 10: Final Project and Presentation: Learners will work on a final project where they apply all the performance optimization techniques learned during the programme to a real-world application. They will present their project and discuss the optimizations made to improve performance.