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When working out, deciding what workout to do next to achieve a specific goal can be challenging. This talk will guide you through creating a four-week workout plan as a Notion page with to-do list items tailored to your workout history, helping you run a faster 5K

How to create a customized running plan using Python, Elasticsearch, and Agno\nWhen working out, deciding what workout to do next to achieve a specific goal can be challenging. This talk will guide you through creating a four-week workout plan as a Notion page with to-do list items tailored to your workout history, helping you run a faster 5K

Most Python scripts in data science are synchronous — fetching one record at a time, waiting for APIs, or slowly scraping websites. In this talk, we’ll introduce Python’s asyncio ecosystem and show how it transforms IO - heavy data workflows. You'll see how httpx , aiofiles , and async constructs speed up tasks like web scraping and batch API calls. We’ll compare async vs threading, walk through a real - world case study, and wrap with performance benchmarks that demonstrate async's value.

Async Python for Data Science: Speeding Up IO - Bound Workflows\nMost Python scripts in data science are synchronous — fetching one record at a time, waiting for APIs, or slowly scraping websites. In this talk, we’ll introduce Python’s asyncio ecosystem and show how it transforms IO - heavy data workflows. You'll see how httpx , aiofiles , and async constructs speed up tasks like web scraping and batch API calls. We’ll compare async vs threading, walk through a real - world case study, and wrap with performance benchmarks that demonstrate async's value.\nKeywords: p ython 3.x , AsyncIO, Web Scraping, API, Concurrency, Performance, Optimization