axp-knickei/netpharmpy: v0.1.2: Enhanced Analysis & Visualization Refactor

🚀 Key Features 📊 New Post-Processing Analysis Module A dedicated analysis.py module has been introduced to generate publication-ready statistics and figures from pipeline outputs without re-running the data collection steps. Network Statistics: Automatically generates degree distribution histograms and "Top N Hubs" bar charts. Interaction Quality: Analyzes and plots STRING confidence score distributions. Summary Tables: Produces CSV summaries for network metrics and interaction scores. 🕸️ Improved Network Visualization The network visualization logic has been completely refactored into a NetworkVisualizer class for cleaner, more interpretative outputs. Hub-Centric Plots: The visualization now strictly focuses on "Hubs + First Neighbors," filtering out weak connectors to reduce noise. Visual Clarity: Enhanced legends, annotations, and styling for the static network plots (network_static_hubs_connectors.png). 🛠 Improvements & Fixes Code Refactoring: Removed redundant code and excessive debug prints in netpharm/core.py and netpharm/visualize.py for a cleaner execution log. Streamlined the build_network function to support flexible scopes (all targets vs. overlapping only). CI/CD Integration: Added a GitHub Actions workflow (.github/workflows/ci.yml) to automatically run tests and check code coverage on every push. Documentation: Updated README.md and added a new pipeline architecture diagram to better explain the workflow. 📦 Maintenance Updated package version to 0.1.2.