pythonadvanced
Threading Parallel
Advanced Python pattern: threading-parallel
pythonPress ⌘/Ctrl + Shift + C to copy
from concurrent.futures import ThreadPoolExecutor
import time
def fetch(i: int) -> str:
time.sleep(0.05)
return f'item-{i}'
with ThreadPoolExecutor(max_workers=4) as ex:
out = list(ex.map(fetch, range(8)))
print(out)Use Cases
- advanced programming
- patterns
Tags
Related Snippets
Similar patterns you can reuse in the same workflow.
pythonintermediate
Python Concurrent Futures for Parallel Work
Run tasks in parallel using ThreadPoolExecutor and ProcessPoolExecutor with error handling.
Best for: Parallel HTTP requests for web scraping
#python#concurrency
pythonbeginner
Type Hints
Advanced Python pattern: type-hints
Best for: advanced programming
#python#advanced
pythonintermediate
Dataclass
Advanced Python pattern: dataclass
Best for: advanced programming
#python#advanced
pythonadvanced
Abc Abstract
Advanced Python pattern: abc-abstract
Best for: advanced programming
#python#advanced