Automating Financial Analysis in Nepal: A Step-by-Step Guide to Agentic AI Integration As a data scientist working in Nepal's finance sector, I've often found myself spending too much time on manual data processing, cleaning…
Building Intelligent Coding Assistants with Agentic AI: A Step-by-Step Guide As a developer, you've likely encountered the frustrating experience of searching for the right books to learn a new programming skill, only …
Running Airflow in Production: Lessons from Two Years of Scaling Data Pipelines Have you ever wondered how to scale Apache Airflow from a small experimental setup to a robust production environment, handling complex data pipe…
ETL vs ELT: Designing Modern Data Pipelines for Performance and Scalability Have you ever found yourself at a crossroads, deciding whether to prioritize data cleanliness or pipeline performance when designing a data pipel…
Mastering Python Packaging with pyproject.toml and uvloop: A Step-by-Step Guide Have you ever wondered how to optimize the performance of your Python packages, making them faster and more reliable? As a Python developer, I…
Turbocharging Your CLI Tool: Handling 10K Requests per Minute with Python Have you ever built a Python CLI tool that works perfectly for a few dozen requests, but then grinds to a halt when you need it to process thousa…
10x Faster ML Inference: How We Optimized Our Pipeline for Real-Time Predictions Many machine learning models suffer from high inference latency, making them unsuitable for real-time applications. This post addresses the pain …
Building a Local-First RAG System with ChromaDB and llama.cpp: A Step-by-Step Guide to Unlocking Knowledge Graph Insights Have you ever found yourself in a situation where the promise of powerful generative AI clashes with the non-negotiable demands of data privacy, …
** Detecting Anomalies in Time Series Data: A Step-by-Step Guide with Real-World Examples ** ** Detecting anomalies in time series data is a critical task in various industries, including finance, healthcare, and manufacturing. With the …
Building a Value Investing Research Framework with Python: Analyzing PyPI Download Stats for Insights Have you ever wondered how to identify undervalued projects with high growth potential using PyPI download stats? As a value investor or data sci…