pycdn 1.0.8

Revolutionary Python package delivery via CDN with serverless execution and lazy loading

PyCDN - Python Package CDN with Lazy Loading

Revolutionary Python package delivery via CDN with serverless execution and lazy loading

PyCDN eliminates dependency hell by delivering Python packages through a global CDN network with intelligent lazy loading. No more pip install - just import and use packages instantly from our edge-optimized servers.

🚀 Quick Start

import pycdn

# Initialize CDN client
pycdn = pkg(url="cdnpy.openai.com")

# Lazy load packages on-demand
from pycdn.openai import Agent
from pycdn.numpy import array
from pycdn.pandas import DataFrame

# Use packages instantly - no local installation required
agent = Agent(model="gpt-4")
data = DataFrame({"col1": [1, 2, 3]})

✨ Key Features

🌐 Global CDN Network

• Ultra-low latency package delivery from 200+ edge locations worldwide
• Intelligent geo-routing to nearest server
• 99.99% uptime SLA

⚡ Lazy Loading

• Packages loaded only when imported
• Smart dependency resolution at runtime
• Automatic version compatibility checking

🔒 Secure Sandboxed Execution

• Isolated execution environments
• Runtime security scanning
• Zero-trust package verification

📦 Zero Local Dependencies

• No more requirements.txt management
• Consistent package versions across environments
• Instant development environment setup

🎯 Intelligent Caching

• ML-powered package pre-loading
• Common package bundles (numpy+pandas+matplotlib)
• Edge cache optimization

🛠 Installation

pip install pycdn

That's it! No other dependencies required.

📖 Usage Examples

Basic Package Loading

import pycdn

# Connect to CDN
cdn = pycdn.connect("https://cdn.python.dev")

# Load packages on-demand
from cdn.requests import get
from cdn.beautifulsoup4 import BeautifulSoup

response = get("https://api.github.com")
soup = BeautifulSoup(response.text, 'html.parser')

Data Science Workflow

import pycdn

# Scientific computing stack
pycdn = pkg(url="cdn.datascience.io")

from pycdn.numpy import array, mean
from pycdn.pandas import read_csv
from pycdn.matplotlib.pyplot import plot, show
from pycdn.sklearn.model_selection import train_test_split

# Instant data science environment
data = read_csv("https://example.com/data.csv")
X_train, X_test = train_test_split(data)

Machine Learning

import pycdn

# AI/ML packages
ai_cdn = pkg(url="cdnpy.openai.com")

from ai_cdn.openai import Agent
from ai_cdn.transformers import pipeline
from ai_cdn.torch import nn

# Ready-to-use ML models
agent = Agent(model="gpt-4")
classifier = pipeline("sentiment-analysis")

Web Development

import pycdn

# Web framework packages
web_cdn = pkg(url="cdn.web.dev")

from web_cdn.fastapi import FastAPI
from web_cdn.sqlalchemy import create_engine
from web_cdn.redis import Redis

app = FastAPI()
db = create_engine("sqlite:///app.db")

🏗 Advanced Configuration

Custom CDN Endpoints

import pycdn

# Enterprise CDN
enterprise_cdn = pycdn.connect(
    url="https://enterprise.pycdn.com",
    api_key="your-api-key",
    region="us-east-1"
)

# Private CDN
private_cdn = pycdn.connect(
    url="https://internal.company.com/pycdn",
    auth=("username", "password")
)

Performance Optimization

import pycdn

# Pre-warm common packages
pycdn.preload([
    "numpy", "pandas", "matplotlib", 
    "requests", "beautifulsoup4"
])

# Cache configuration
pycdn.configure(
    cache_size="1GB",
    prefetch_threshold=0.8,
    edge_locations=["us-east", "eu-west", "asia-pacific"]
)

Development Mode

import pycdn

# Local development with CDN fallback
pycdn.dev_mode(
    local_packages=["./my_package"],
    cdn_fallback=True,
    debug=True
)

🌍 CDN Endpoints

Public CDNs

• General: https://cdn.python.dev
• Data Science: https://cdn.datascience.io
• AI/ML: https://cdnpy.openai.com
• Web Dev: https://cdn.web.dev

Enterprise CDNs

• AWS: https://python.cdn.aws.com
• GCP: https://python.cdn.gcp.com
• Azure: https://python.cdn.azure.com

📊 Performance Benefits

Metric	Traditional pip	PyCDN
Package Install Time	30-300s	Instant
Environment Setup	5-30min	<10s
Storage Used	100MB-2GB	0MB
Dependency Conflicts	Common	Never
Version Consistency	Manual	Automatic

🔧 API Reference

Core Functions

pkg(url, **kwargs)

Initialize CDN connection

cdn = pkg(url="https://cdn.python.dev", timeout=10)

pycdn.connect(url, **kwargs)

Alternative connection method with advanced options

cdn = pycdn.connect(
    url="https://cdn.python.dev",
    api_key="key",
    region="us-east-1"
)

pycdn.preload(packages)

Pre-warm package cache

pycdn.preload(["numpy", "pandas", "matplotlib"])

pycdn.configure(**kwargs)

Configure CDN client

pycdn.configure(
    cache_size="1GB",
    timeout=30,
    retry_count=3
)

🏢 Enterprise Features

Team Management

# Organization-wide package policies
pycdn.org.set_policy({
    "allowed_packages": ["numpy", "pandas", "requests"],
    "blocked_packages": ["deprecated_lib"],
    "auto_updates": True
})

Usage Analytics

# Package usage tracking
stats = pycdn.analytics.get_usage(
    timeframe="30d",
    breakdown="package"
)

Security Controls

# Security scanning
pycdn.security.enable_scanning()
pycdn.security.set_policy("strict")

🤝 Contributing

We welcome contributions! See our Contributing Guide for details.

Development Setup

git clone https://github.com/pycdn/pycdn
cd pycdn
pip install -e ".[dev]"
pytest

📝 License

MIT License - see LICENSE file for details.

🆘 Support

• Documentation: docs.pycdn.dev
• Issues: GitHub Issues
• Discord: Join our community
• Email: [e-mail]

🗺 Roadmap

• Q2 2025: Public beta launch
• Q3 2025: Enterprise features
• Q4 2025: AI-powered package recommendations
• Q1 2026: Multi-language support (Node.js, Go, Rust)

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Built with ❤️ by the PyCDN team

"The future of Python package management is here"