What I learned building and distributing my first Skill from scratch
The post How to Build a Production-Ready Claude Code Skill appeared first on Towards Data Science.
The 2026 Data Mandate: Is Your Governance Architecture a Fortress or a Liability?
Is your data strategy 2026-ready? Get a deep dive into the mandatory shift toward human-in-the-loop oversight, active metadata, and the strategic advantages of European data sovereignty.
The post The 2026 Data Mandate: Is Your Governance Architecture a Fortress or a Liability? appeared first on Towa...
Optimizing the cost and latency of your LLM calls with Prompt Caching
The post Why Care About Prompt Caching in LLMs? appeared first on Towards Data Science.
A Tale of Two Variances: Why NumPy and Pandas Give Different Answers
Imagine you are analyzing a small dataset: You want to calculate some summary statistics to get an idea of the distribution of this data, so you use numpy to calculate the mean and variance. Your output Looks like this: Great! Now you have an idea of the distribution of your data. However, your coll...
Exploratory Data Analysis for Credit Scoring with Python
Understanding default risk through statistical analysis of borrower and loan characteristics.
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How AI has completely transformed the way I study as a graduate student
The post Solving the Human Training Data Problem appeared first on Towards Data Science.
An Intuitive Guide to MCMC (Part I): The Metropolis-Hastings Algorithm
Tired of the AI hype? Let's talk about the probabilistic algorithms actually driving high-end quantitative finance.
The post An Intuitive Guide to MCMC (Part I): The Metropolis-Hastings Algorithm appeared first on Towards Data Science.
Spectral Clustering Explained: How Eigenvectors Reveal Complex Cluster Structures
Understanding why spectral clustering outperforms K-means
The post Spectral Clustering Explained: How Eigenvectors Reveal Complex Cluster Structures appeared first on Towards Data Science.
The 4 statistical sins that invalidate most A/B tests, plus a pre-test checklist and Bayesian vs frequentist decision framework you can use Monday.
The post Why Most A/B Tests Are Lying to You appeared first on Towards Data Science.
I Stole a Wall Street Trick to Solve a Google Trends Data Problem
A methodology for comparing Google Trends data across countries.
The post I Stole a Wall Street Trick to Solve a Google Trends Data Problem appeared first on Towards Data Science.
Why Your AI Search Evaluation Is Probably Wrong (And How to Fix It)
A five-step framework for building rigorous, reproducible AI search benchmarks — before you make six-figure infrastructure decisions
The post Why Your AI Search Evaluation Is Probably Wrong (And How to Fix It) appeared first on Towards Data Science.
Write C Code Without Learning C: The Magic of PythoC
Compile native, standalone applications using the Python syntax you already know.
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Understanding Context and Contextual Retrieval in RAG
Why traditional RAG loses context and how contextual retrieval dramatically improves retrieval accuracy
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The Data Team’s Survival Guide for the Next Era of Data
6 pillars to declutter your stack, escape the service trap, and build the missing foundations for the new primary data consumer: the AI agent.
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The Black Box Problem: Why AI-Generated Code Stops Being Maintainable
Same notification system, two architectures. Unstructured generation couples everything into a single module. Structured generation decomposes into independent components with explicit, one-directional dependencies. Image by the author
The post The Black Box Problem: Why AI-Generated Code Stops Bein...
How to Create Production-Ready Code with Claude Code
Learn how to write robust code with coding agents.
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Learn how Zero Redundancy Optimizer works, how to implement it from scratch, and how to use it in PyTorch
The post AI in Multiple GPUs: ZeRO & FSDP appeared first on Towards Data Science.
An overview of powerful methods for transforming continuous variables into discrete ones
The post 5 Ways to Implement Variable Discretization appeared first on Towards Data Science.