Why Async Programming?
In traditional synchronous code, operations block execution until they complete. This is a problem when dealing with I/O-bound tasks:
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LearnStep 1 of 4
Sync vs Async: The Problem
Learning Objectives
- •Understand sync vs async
- •Learn when to use async
- •See real performance benefits
Lesson Outline
LearnStep 1/4
Sync vs Async: The Problem
python
The Blocking Problem
| Operation | CPU Work | Waiting Time |
|---|---|---|
| HTTP Request | ~1ms | ~200ms |
| Database Query | ~1ms | ~50ms |
| File Read | ~1ms | ~10ms |
Most of the time is spent waiting, not computing. Async programming lets us do useful work during that wait time.
Async Solution
python
Result: 3x faster by running requests concurrently!