Prepare v1.0.1 release.#9
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Added 14 new branżowych use cases to website/templates/use-cases.html, inserted after the existing 6 use cases and before the 3 tutorials section. New use cases by category: Industry (8): - E-commerce / Retail (cross-selling, dynamic pricing, customer segmentation) - Healthcare / Medicine (drug interactions, patient journey, epidemiology) - Supply Chain / Logistics (route optimization, disruption prediction) - Telecommunications (churn prediction, network anomaly detection) - Cybersecurity (attack graphs, threat intelligence, lateral movement) - Energy / Utilities (failure prediction, smart grid optimization) - Real Estate / PropTech (neighborhood valuation, comparable search) - HR / Talent Management (skill graphs, candidate matching) Science & Education (2): - Research / Academia (citation networks, collaboration graphs) - Education / EdTech (learning paths, course recommendations) Non-obvious (4): - Gaming / Metaverse (matchmaking, bot detection) - Music / Entertainment (music discovery, playlist generation) - Agriculture / AgriTech (crop similarity, pest prediction) - Legal Tech (case law networks, compliance mapping) Each use case includes: title, 2-3 sentence description explaining why graph embeddings help, bullet list of key applications, and working pycleora code example using SparseMatrix, embed, find_most_similar API. Sidebar navigation updated with new category groups (Industry, Science & Education, Non-obvious). Existing 6 use cases and 3 tutorials unchanged. Replit-Task-Id: 7908dc14-e229-49dd-bfb8-eb6869d857c5
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