Description:

Sync vs. Async in Python: Tools, Benchmarks, and ASGI/WSGI Explained

Abstract

This talk focuses on synchronous and asynchronous programming in Python, highlighting tools like Uvicorn and uvloop, their benchmarks, and the role of ASGI/WSGI servers.

Topics Covered:

• Synchronous vs. Asynchronous Programming: Key differences and applications.
• Tools like Uvicorn and uvloop: Detailed exploration of these async tools.
• Benchmarking Async Tools: Performance analysis and comparisons.
• ASGI and WSGI Servers: Their evolution and importance in Python web development.
• Best Practices and Recommendations: Effective sync and async programming strategies.
• Real-World Scenarios and Examples: Practical insights from actual use-cases.

Presentation Outline: Sync vs. Async in Python

1. Introduction to Synchronous and Asynchronous Programming (5 minutes)

• Defining synchronous and asynchronous programming.
• Discussing their roles and benefits in Python development.

2. Deep Dive into Asynchronous Tools: Uvicorn and uvloop (7 minutes)

• Introduction to Uvicorn and uvloop.
• Exploring their functionalities and how they enhance asynchronous programming.

3. Benchmarking Async Tools (4 minutes)

• Presenting performance benchmarks of Uvicorn, uvloop, and other tools.
• Comparative analysis to understand their efficiency in different scenarios.

4. ASGI vs. WSGI Servers in Python (6 minutes)

• Explaining the evolution from WSGI to ASGI.
• Discussing the significance and use cases of both server types.

5. Best Practices for Sync and Async Programming (3 minutes)

• Effective strategies and recommendations for implementing sync and async programming.
• Tips for choosing the right approach for specific project needs.

6. Real-world examples and Case Studies (3 minutes)

• Demonstrating practical applications of synchronous and asynchronous programming.
• Case studies will be shared to highlight the impact of tool and paradigm selection.

7. Q&A and Discussion (4 minutes)

• Open floor for audience questions and interaction.

Conclusion (1 minute) - Recap of key points and takeaways.

Speaker Info:

I’m Arun Suresh Kumar, a Python enthusiast from Kerala, India, currently building Strollby by serving as UST’s Entrepreneur in Residence.

With over a decade of experience specialising in the GraphQL ecosystem, I actively contributes to open-source projects, enhancing Python’s GraphQL integration with libraries like graphene-federation and graphene-mongo.

Away from Python, I’m also recognised for my expertise in identifying and resolving security vulnerabilities as a bug bounty hunter. I also serves as the OWASP Kerala chapter board member, contributing to web security awareness and practices.

Speaker Links:

https://us.pycon.org/2024/speaker/profile/176/ https://github.com/arunsureshkumar?tab=repositories https://github.com/graphql-python/graphene-federation/graphs/contributors