Speed Up Python API Calls 60x Faster | Bulk API Optimization Tutorial

Contact me for any project or VBA Automation. Fiverr: https://www.fiverr.com/s/5rdZD6k Email: [email protected] WhatsApp: +8801515649307 LinkedIn: https://www.linkedin.com/in/md-ismail-hosen-b77500135/ Facebook: https://www.facebook.com/mdismail.hosen.7 YouTube: https://www.youtube.com/channel/UCL-q7_WvISkw0Ox9FRBBzmw *Chapters** 0:00 - 60x Faster: 407s vs 6s for 1000 API Calls 0:35 - Slow Approach: Sequential Requests with Session 2:45 - Code Walkthrough: Requests Library Method 3:15 - Fast Approach: Introducing Concurrent Method 4:00 - How Multiple Requests Run in Parallel (The “Waiting” Trick) 5:00 - Code Deep Dive: Semaphores & Async Handling 6:15 - The Key Difference: 100 Concurrent Calls vs One-by-One 6:45 - Final Comparison & Conclusion Unlock massive speed improvements in your Python projects by optimizing bulk API calls. In this tutorial, I’ll show you how I reduced the runtime of 1,000 API requests from 407 seconds down to just 6 seconds — that’s a 60x performance boost! 🚀 We’ll compare the traditional sequential approach with an optimized concurrent method, break down the exact performance difference, and walk through the code step by step. By the end, you’ll have a scalable and efficient solution to handle thousands of API calls without bottlenecks, saving time and resources in your data pipelines, automation, or web scraping projects. 👉 Perfect for developers working with large datasets, APIs, and performance-critical Python applications. code files: https://1drv.ms/u/c/6edd704b8f8c537b/EZfNyTRknKxLp5XcLDWhl-UB1SdGQK3Dqi_7Klexvj-dpQ?e=Ko4rzL