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Curated developer articles, tutorials, and guides — auto-updated hourly
Ken W Alger6d ago • 4 min read
The Backyard Quarry, Part 5: Digital Twins for Physical Objects
In Part 5 of the Backyard Quarry series, the project finally starts to connect to a bigger idea: dig...
#architecture#datascience#ai#softwareengineering
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Nomidl Official5d ago • 3 min read
From Spreadsheets to Predictive Models: Understanding Two Data Careers That Look Similar but Aren’t
Introduction If you’ve ever explored careers in data, you’ve probably come across the roles of Data...
#datascience#analyst#data#ai
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Kanishka Shrivastava6d ago • 2 min read
#beginners #machinelearning #pandas #kaggle
Apr 14, 2026 · Day 3 of 30 Day 3: I explored the Titanic and Iris datasets the code was easy,...
#beginners#datascience#devjournal#machinelearning
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Matthew Hou6d ago • 5 min read
You Asked AI to Analyze Your Users. The Report Looks Amazing. It's Probably Wrong.
I collected 3,368 data points and let AI produce deep behavioral analyses. When I validated the outp...
#discuss#ai#datascience#webdev
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Claire Dubois6d ago • 2 min read
Why Model Upgrades in Causal Inference Pipelines Are Never Just a Pricing Decision
Last month we decided to take advantage of Anthropic’s 67% price reduction on Opus 4.6 and its new 1...
#datascience#ai#programming#tutorial
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NARESH-CN24d ago • 2 min read
7.22M Logs/Sec on a Laptop: Beating the "Abstraction Tax" with C11 Atomics
I’ve been obsessed with the "Abstraction Tax" lately—the massive performance hit we take when we...
#programming#python#architecture#datascience
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POTHURAJU JAYAKRISHNA YADAV6d ago • 10 min read
Building the Perfect Prediction Engine — Feature Engineering Without Cheating
Part 2 of 5 | ← Part 1 | Part 3 → | View Series The Hook: 95% Accuracy That Was...
#machinelearning#python#datascience#ai
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Max6d ago • 6 min read
Track Congressional Stock Trades with Python and Free SEC Data
Last month I noticed something odd: a senator sold $2M in hotel stocks three days before a travel...
#python#datascience#tutorial#webdev
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Jem Herbert-Rice4d ago • 2 min read
I Built an Interactive RL Playground to Help Me Learn Sutton & Barto
It's been a while since I've been able to get into this again - sometimes life just throws things...
#machinelearning#python#datascience#showdev
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POTHURAJU JAYAKRISHNA YADAV6d ago • 5 min read
Part 1: The Problem No One Solves — Building an IPL AI That Predicts AND Answers
This is Part 1 of a 5-part series on building a complete ML system. Part 2 → | Part 3 → | Part 4 → |...
#machinelearning#python#ai#datascience
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Pawan Singh Kapkoti2d ago • 3 min read
How I Reverse-Engineered a Reverse ETL Tool and Wrote the Docs Nobody Had
drt is an open-source reverse ETL tool. Five destination connectors existed. No guide for building.....
#python#tutorial#opensource#datascience
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Mansi Somayajula5d ago • 10 min read
Your ML Model Is Lying to You — Here's How to Catch It.
The car that pulls to the right Have you ever driven a car that slowly starts pulling to...
#python#machinelearning#mlops#datascience
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hqqqqyApr 13, 2026 • 5 min read
The Preprocessing Checklist I Wish I Had on My First ML Project
My first production model failed because of three silent preprocessing bugs. Here's the exact checkl...
#machinelearning#python#tutorial#datascience
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Gaurav Vij6d ago • 3 min read
A CLI tool to score fine-tuning dataset quality before training starts
One of the most frustrating outcomes in machine learning is spending time and GPU budget on a...
#ai#finetuning#llm#datascience
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Milcah Mukunza1d ago • 4 min read
Subqueries vs. CTEs: Choosing the Right Tool in SQL
INTRODUCTION As you advance beyond basic SQL queries, you’ll encounter scenarios where a...
#sql#subquery#datascience#analytics
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Shridhar Pandey4d ago • 3 min read
The ‘Missing Middle’ of Data Processing in Java (10M Rows in ~40s)
10M Records, 40s: Exploring the "Missing Middle" of Data Processing in Java I’ve always...
#java#performance#datascience#showdev
7 1
Arnab Datta4d ago • 8 min read
Rapid Interest Shifts in Recommender Systems: A Case Study on Instagram Reels
A late-night experiment revealing how fast recommendation systems actually adapt An...
#machinelearning#socialmedia#ai#datascience
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pekk wsmc5d ago • 2 min read
DEV Community Tag Popularity Analysis
Overview I used the Forem API (https://dev.to/api/tags?per_page=20) to fetch the top 20...
#python#datascience#webdev#beginners
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Onkar Bhattacharya23h ago • 3 min read
Building an Interactive Wind Turbine Calculator
Small-scale wind energy has always faced a challenge: accurately estimating how much power a turbine...
#datascience#science#showdev#webdev
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Clara Morales5d ago • 3 min read
How Senior Data Analysts Keep Trading Platforms Like LomixOne Running Smoothly in Volatile Markets
Trading environments are unforgiving. One unexpected volatility spike, a liquidity crunch, or a...
#productivity#datascience#sql
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Sean Rastatter6d ago • 6 min read
Why Your Enterprise MLOps Strategy is Failing to Scale—and How to Fix It
Authors: Sean Rastatter, Rawan Badawi Why do so many enterprises struggle with MLOps? Year after...
#ai#datascience#mlops#googlecloud
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Piotr3d ago • 2 min read
Reimagine Python Notebooks in the AI Era: What If You Didn’t Write Code First?
For years, Jupyter Notebook has been the default tool for data analysis in Python. But it assumes.....
#python#jupyter#ai#datascience
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Prince Raj3d ago • 5 min read
Part 2: The Dataset - Labels, Heuristics, Synthetic Data, and Why AI Starts Before the Model
Before we begin, if you have come directly to this post (Part 2 of 6), here is Part 1 where I explai...
#ai#machinelearning#datascience#backend
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Sedat SALMAN3d ago • 4 min read
AWS Data & AI Stories #01: Multimodal AI
In traditional AI systems, text was usually the main input. But to solve real life problem, text is...
#aws#ai#datascience#awsbigdata
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