Executive Development Programme in Reactive Programming in Python: Asyncio and RxPy

This course is designed for experienced Python developers and technical leaders aiming to enhance their skills in handling asynchronous and concurrent tasks efficiently. Participants will learn to build scalable applications using Asyncio for efficient I/O-bound and high-load server applications and RxPy for reactive programming, enabling them to manage data streams and events effectively.

By the end of this course, attendees will gain proficiency in designing and implementing reactive systems, understand the principles of asynchronous programming, and be able to apply RxPy for complex data transformations and event-driven programming.

1. 1. Introduction to Reactive Programming: Learners will understand the core principles of reactive programming and its benefits. They will gain foundational knowledge in how reactive streams process data and manage asynchronous operations.
2. 2. Asynchronous Programming with Python and Asyncio: This module covers the basics of asynchronous programming in Python using the Asyncio library. Learners will learn to write asynchronous functions and handle events in Python, enhancing their ability to develop efficient, scalable applications.
3. 3. Building Concurrent Applications with Asyncio: Learners will delve into advanced features of Asyncio, such as coroutines, tasks, and event loops. They will gain skills in building concurrent applications that can handle multiple I/O operations efficiently.
4. 4. Introduction to RxPy: This module introduces learners to the RxPy library, which implements reactive extensions for Python. They will understand the Observable and Observer patterns and how to use them to manage asynchronous data streams.
5. 5. Transforming Data Streams with RxPy: Learners will explore various operators provided by RxPy to transform and manipulate data streams. They will gain practical skills in filtering, mapping, and aggregating data asynchronously.
6. 6. State Management in RxPy: This module focuses on managing state within reactive applications using RxPy. Learners will learn how to handle side effects and maintain state across asynchronous operations effectively.
7. 7. Integrating Asyncio and RxPy: Learners will learn how to integrate Asyncio and RxPy to build hybrid reactive and asynchronous applications. They will gain experience in combining the strengths of both libraries to handle complex data processing tasks.
8. 8. Advanced Topics in Reactive Programming: This module covers advanced topics such as backpressure, error handling, and testing reactive applications. Learners will gain deeper insights into optimizing and debugging reactive systems.
9. 9. Building Real-world Applications with Asyncio and RxPy: In this module, learners will apply their knowledge by building a real-world application that leverages both Asyncio and RxPy. They will gain hands-on experience in designing and implementing scalable, reactive systems.
10. 10. Case Studies and Best Practices: This final module presents case studies of successful implementations of reactive programming in Python. Learners will learn best practices and common pitfalls to avoid when developing reactive applications.