pystreams
Chainable functional API for list processing
Installation
pip install pystreams
💡 Usage Examples
Basic Operations
from pylib_streams import Stream, map, filter, reduce
# Using Stream class
result = Stream([1, 2, 3, 4, 5])\
.map(lambda x: x * 2)\
.filter(lambda x: x > 5)\
.to_list()
# [6, 8, 10]
# Using functional API
doubled = map(lambda x: x * 2, [1, 2, 3])
filtered = filter(lambda x: x > 2, [1, 2, 3, 4])
summed = reduce(lambda a, b: a + b, [1, 2, 3, 4])
# 10
AI/ML Use Cases
from pylib_streams import Stream, map, filter, reduce
# Process ML predictions
predictions = Stream([0.1, 0.5, 0.9, 0.3])\
.filter(lambda p: p > 0.5)\
.map(lambda p: "high" if p > 0.8 else "medium")\
.to_list()
# Transform training data
features = Stream(raw_data)\
.map(extract_features)\
.filter(is_valid)\
.to_list()
📚 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-streams 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_streams-0.1.0.tar.gz | 2.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pylib_streams-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.5 kB
Release files / pylib_streams-0.1.0.tar.gz
| Download URL | pylib_streams-0.1.0.tar.gz |
|---|---|
| Size | 2.4 kB |
| Tags | Source |
|
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| Uploaded via |
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Release files / pylib_streams-0.1.0-py3-none-any.whl
| Download URL | pylib_streams-0.1.0-py3-none-any.whl |
|---|---|
| Size | 2.0 kB |
| Tags | Python 3 |
|
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