systems, understanding user intent is fundamental especially in the customer service domain where I operate. Yet across enterprise teams, intent recognition often happens in silos, each team building bespoke pipelines for different products, from troubleshooting assistants to chatbots and issue triage tools. This redundancy slows innovation and makes scaling a challenge. ContentsSpotting a Pattern in …
Image by Ideogram Most of my days as a data scientist look like this: Stakeholder: “Can you tell us how much we made in advertising revenue in the last month and what percentage of that came from search ads?” Me: “Run an SQL query to extract the data and hand it to them.” Stakeholder: …
Here’s How I Built an MCP to Automate My Data Science Job Read More »
This post introduces the emerging field of semantic entity resolution for knowledge graphs, which uses language models to automate the most painful part of building knowledge graphs from text: deduplicating records. Knowledge graphs extracted from text power most autonomous agents, but these contain many duplicates. The work below includes original research, so this post is …
Image by Author | Ideogram Contents# Introduction# 1. itertools.groupby() for Run-Length Encoding# 2. zip() with * for Matrix Transposition# 3. bisect for Maintaining Sorted Order# 4. heapq for Finding Extremes Without Full Sorting# 5. operator.itemgetter for Multi-Level Sorting# 6. collections.defaultdict for Building Data Structures on the Fly# 7. string.Template for Safe String Formatting# Conclusion # Introduction You know the basics of Python’s standard library. …
Uncommon Uses of Common Python Standard Library Functions Read More »
ContentsWhy do we still wrestle with documents in 2025?As a data scientist or ML engineer, why should I care about Docling?Where Docling came fromWhat we’ll do Setting up a development environmentSummary Why do we still wrestle with documents in 2025? in any data-driven organisation, and you’ll encounter a host of PDFs, Word files, PowerPoints, half-scanned images, handwritten notes, and the occasional …
Docling: The Document Alchemist | Towards Data Science Read More »
Image by Author | Canva & ChatGPT Contents# Introduction# 1. Intro to AI Agents and Agent Use Cases# 2. Exploring AI Agentic Frameworks# 3. Understanding AI Agentic Design Patterns# 4. Tool Use Design Pattern# 5. Agentic RAG# 6. Building Trustworthy AI Agents# 7. Planning Design Pattern# 8. Multi-Agent Design Pattern# 9. Metacognition Design Pattern# 10. AI Agents in Production# 11. Using Agentic Protocols# 12. Context Engineering for …
Federated Learning (FL) is we train AI models. Instead of sending all your sensitive data to a central location, FL keeps the data where it is, and only shares model updates. This preserves privacy and enables AI to run closer to where the data is generated. However, with computation and data spread across many devices, …
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Image by Author | Ideogram Contents# Introduction# How Docker Works and Why You Need It# Building a Python Web API# Writing Your First Dockerfile# Building and Running Your First Container# Essential Docker Commands for Daily Use# Some Docker Best Practices That Matter# Wrapping Up # Introduction You just pushed your Python app to production, and suddenly everything breaks. The app worked perfectly on …
A Gentle Introduction to Docker for Python Developers Read More »
, data scientists working in the Python ecosystem would routinely juggle multiple tools to carry out basic project management tasks, from creating virtual environments with venv and installing dependencies with pip or conda, to building and publishing packages with setuptools and twine. Nowadays, much of this can be accomplished quickly using a single tool such …
Agentic AI and the Future of Python Project Management Tooling Read More »
Image by Editor | ChatGPT Contents# Introduction# Top Data Science Courses of 2025// 6. Data Analysis with Python # Introduction There are a lot of data science courses out there. Class Central alone lists over 20,000 of them. That’s crazy! I remember looking for data science courses in 2013 and having a very difficult time coming across any. …
