Python - Py Data

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How to Build Autonomous Data Pipelines in Python Using AI Agent Skills

Ever wondered why your LLM‑driven agents still need Airflow or a custom scheduler to move data from an API to a CSV? You can skip the heavyweight o…

How to Decouple LLM Trading Agents with a Validated Multi-Agent Message Bus

How to Decouple LLM Trading Agents with a Validated Multi-Agent Message Bus

If your NEPSE LLM trading agent calls the model directly inside your trade decision function, a single malformed JSON payload or a provider outag…

How I Built a Multi‑Agent LLM Trading Bot for NEPSE – From Live Ingestion to Execution

When I tried to automate my own NEPSE swing‑trades, I kept hitting the same wall: a single script that scraped prices, generated a signal, and plac…

Orchestrating LLM Consensus: Building a Multi‑Agent Pipeline to Synthesize Simulated Financial News

Ever stared at a dozen headlines, analyst quotes, and blog posts and wondered how a single, trustworthy trading signal could emerge without you man…

From PDFs to a Queryable Knowledge Graph: FastAPI + Graphify for Nepal’s Financial Reports

Have you ever found yourself manually copying tables and financial facts from dense PDF annual reports or prospectuses into a spreadsheet? It’s a f…

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