Python Memory & Concurrency Optimization
Budget: $30 – $250 USD
I currently have a Python-based data scraper built with Selenium/Requests, but it is running too slow and crashing because of high memory usage while processing large datasets. It is not scalable.
Requirements:
Optimize memory footprint for 5,000+ records.
Refactor sync loops to Asyncio/Aiohttp.
Implement a robust error-handling and retry mechanism.
Need an expert who can handle high-performance Python code. No beginners please.
Requirements:
Optimize memory footprint for 5,000+ records.
Refactor sync loops to Asyncio/Aiohttp.
Implement a robust error-handling and retry mechanism.
Need an expert who can handle high-performance Python code. No beginners please.