pyfetcher
Async HTTP client
Installation
pip install pyfetcher
💡 Usage Examples
Basic Operations
from pylib_fetcher import fetch_async
# Async fetch
import asyncio
async def get_data():
result = await fetch_async("https://api.example.com/data")
return result
data = asyncio.run(get_data())
AI/ML Use Cases
from pylib_fetcher import fetch_async
# Fetch multiple AI API responses concurrently
results = await asyncio.gather(
fetch_async(api_url1),
fetch_async(api_url2),
fetch_async(api_url3)
)
📚 API Reference
See package documentation for complete API reference.
🤖 AI Agent Friendly
This package is optimized for AI agents and code generation tools:
- Clear function names and signatures
- Comprehensive docstrings with examples
- Type hints for better IDE support
- Common use cases documented
- Zero dependencies for reliability
License
MIT
1 maintainer
Release files for pylib-fetcher 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pylib_fetcher-0.1.0.tar.gz | 2.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pylib_fetcher-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.1 kB
Release files / pylib_fetcher-0.1.0.tar.gz
| Download URL | pylib_fetcher-0.1.0.tar.gz |
|---|---|
| Size | 2.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.7
|
Release files / pylib_fetcher-0.1.0-py3-none-any.whl
| Download URL | pylib_fetcher-0.1.0-py3-none-any.whl |
|---|---|
| Size | 1.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.7
|
