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The Joy of Typing
A practical guide to modern type annotations in Python for data science The post The Joy of Typing appeared first on Towards Data Science .
Latest from Towards Data Science
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Give Your AI Unlimited Updated Context
The architecture behind a portable knowledge layer and the automation that keeps it alive. The post Give Your AI Unlimited Updated Context appeared first on…
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How Major Reasoning Models Converge to the Same “Brain” as They Model Reality Increasingly Better
Because there's only one reality to model! The post How Major Reasoning Models Converge to the Same “Brain” as They Model Reality Increasingly Better appeared…
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I Rewrote a Real Data Workflow in Polars. Pandas Didn’t Stand a Chance.
From 61 seconds to 0.20 seconds — and the mental model shift I didn't expect The post I Rewrote a Real Data Workflow in Polars.…
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When the Uncertainty Is Bigger Than the Shock: Scenario Modelling for English Local Elections
A scenario analysis case study on calibrated uncertainty, historical error, and why some models are most useful when they refuse to forecast. The post When…
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Beyond Lists: Using Python Deque for Real-Time Sliding Windows
Stop shifting elements in lists! Discover why collections.deque is the secret to high-performance sliding windows, thread-safe queues, and efficient data streams in your next Python…
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Timer-XL: A Long-Context Foundation Model for Time-Series Forecasting
Exploring the inner workings of a decoder-only Transformer foundation model The post Timer-XL: A Long-Context Foundation Model for Time-Series Forecasting appeared first on Towards Data…
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Why I Don’t Trust LLMs to Decide When the Weather Changed
A physicist's approach to building production-grade agents The post Why I Don’t Trust LLMs to Decide When the Weather Changed appeared first on Towards Data…
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Deconstruct Any Metric with a Few Simple ‘What’ Questions
What you see is rarely what you get with flashy dashboards and data storytelling The post Deconstruct Any Metric with a Few Simple ‘What’ Questions…
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Discrete Time-To-Event Modeling – Predicting When Something Will Happen
Part 1: The basics — discretization of time, censoring and the life table The post Discrete Time-To-Event Modeling – Predicting When Something Will Happen appeared…
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How to Make Claude Code Validate its own Work
Improve Claude Code performance by having it validate its own work The post How to Make Claude Code Validate its own Work appeared first on…
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RAG Hallucinates — I Built a Self-Healing Layer That Fixes It in Real Time
Your RAG system isn’t failing at retrieval — it’s failing at reasoning. This article shows how I built a lightweight self-healing layer that detects and…
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Surviving High Uncertainty in Logistics with MARL
Part 2. Building scale-invariant agents that seamlessly change contexts The post Surviving High Uncertainty in Logistics with MARL appeared first on Towards Data Science .
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Single Agent vs Multi-Agent: When to Build a Multi-Agent System
A practical guide to understanding AI agent design, ReAct workflows, and when to scale from a single agent to a multi-agent system. The post Single…
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How to Build an Efficient Knowledge Base for AI Models
Building a knowledge base for AI models isn’t a one-time task but an iterative process of refinement. The post How to Build an Efficient Knowledge…
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Playing Connect Four with Deep Q-Learning
Solving multiplayer games with function approximation The post Playing Connect Four with Deep Q-Learning appeared first on Towards Data Science .
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How AI Tools Generate Technical Debt in IoT Systems — and What to Do About It
AI tools speed up IoT development — but closer to the hardware, the same code that looks correct can silently break thousands of devices at…
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CSPNet Paper Walkthrough: Just Better, No Tradeoffs
A review of the Cross-Stage Partial Network paper — and a from-scratch PyTorch implementation The post CSPNet Paper Walkthrough: Just Better, No Tradeoffs appeared first…
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Inference Scaling (Test-Time Compute): Why Reasoning Models Raise Your Compute Bill
Why reasoning models dramatically increase token usage, latency, and infrastructure costs in production systems The post Inference Scaling (Test-Time Compute): Why Reasoning Models Raise Your…
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Which Regularizer Should You Actually Use? Lessons from 134,400 Simulations
A practitioner's decision framework for Ridge, Lasso, and ElasticNet based on three quantities you can compute before fitting a model The post Which Regularizer Should…