From Dev.to Community
Tech Articles
Curated developer articles, tutorials, and guides — auto-updated hourly
Prithwish NathMay 26, 2026 • 27 min read
A Practical Guide To Entity Resolution in Python (No Database, No Machine Learning)
TL;DR: Learn a very simple way to normalize, dedupe, and fuzzy-match records that refer to the same....
#programming#tutorial#datascience#python
0 0
Zoltan CsizmadiaMay 26, 2026 • 8 min read
Calling Python's Async World from C#
Calling Python's Async World from C#: A Deep Dive into PyDotNet's Async Bridge ...
#ai#csharp#python#datascience
0 0
Gabriel Brocco de OliveiraMay 21, 2026 • 11 min read
Como treinei uma IA de suporte com histórico real de atendimento: da conversa bruta ao RAG em produção
Esse artigo é a documentação completa do pipeline que construí para extrair conhecimento do históric...
#ai#rag#llm#datascience
1 1
Godwill ChristopherMay 25, 2026 • 6 min read
What's new in Data Preprocessor 1.5.x — R codegen, Robust Scaler, and a deadlock post-mortem
It's been a few months since I last wrote about Data Preprocessor, the IntelliJ plugin I built to...
#intellij#datascience#python#jetbrains
0 0
Haji RufaiMay 25, 2026 • 5 min read
Building a Kenya Economic Intelligence Dashboard with Python, Plotly & World Bank Data
What if you could understand an entire nation's economic trajectory in a single interactive...
#python#datascience#plotly#analytics
0 0
Max VyaznikovMay 26, 2026 • 7 min read
20 Years of GPUs in Numbers: How FLOPS and TDP Grew, and Who Led the NVIDIA vs AMD Duel (+ open dataset of 13,500 GPUs)
A data-driven look at 19 years of GPUs: ~400x FP32 growth, the datacenter TDP explosion, ~100x perf/...
#gpu#machinelearning#hardware#datascience
1 0
Abdeladime BenaliMay 28, 2026 • 4 min read
Quantitative Finance Doesn't Need Better Algorithms—It Needs Better Data Engineers
Quantitative Finance Doesn't Need Better Algorithms—It Needs Better Data Engineers A hedge...
#data#dataengineering#datascience#machinelearning
0 0
Maya AnderssonMay 26, 2026 • 4 min read
Your LLM-as-judge eval set is too small. Here is the math
How many human-labeled examples do you need to calibrate an LLM-as-judge against humans on your task...
#ai#machinelearning#llm#datascience
1 0
Haji RufaiMay 25, 2026 • 4 min read
Building a Data Drift Detection Framework in Python with Statistical Rigor
Data drift — the silent killer of ML models and data pipelines. Your model worked perfectly in...
#python#datascience#machinelearning#devops
1 1
RitikaMay 25, 2026 • 4 min read
I Got 96% Recall on LLM Hallucination Detection With No ML Model – Just 50 Lines of Python
Most hallucination detection approaches tell you to train another model. I did not want to do that. ...
#machinelearning#python#datascience#ai
0 1
GeraldMMay 24, 2026 • 6 min read
A Beginners guide to Real-time Data Streaming with Apache Kafka
Introduction Ever wondered how banks are able to detect and stop fraud in real-time? This...
#beginners#kafka#datascience#dataengineering
2 0
SciForceMay 27, 2026 • 12 min read
Why Healthcare AI Fails in the Real World
Introduction In 2018, a clinical informaticist launched a tool to handle intake forms and...
#ai#datascience#healthcare
1 2
Gervais Yao AmoahMay 23, 2026 • 12 min read
Stop Trusting Your Accuracy Score: A Practical Guide to Evaluating Logistic Regression Models
"Accuracy lied to you. Here's the complete toolkit—confusion matrix, precision, recall, F1, ROC/AUC,...
#machinelearning#beginners#ai#datascience
0 0
Yukti SahuMay 25, 2026 • 5 min read
I Thought “Data Analyst” Was the Whole Game… Then I Entered the Data Avengers Office 👀
🏢 I Landed an Internship at a Futuristic Tech Company — And Met the Entire Data...
#python#data#datascience#analytics
1 0
David OhnstadMay 22, 2026 • 11 min read
Data Product Team Structure: Centralized vs. Distributed
David Ohnstad debunks the myth that centralized data teams build better products. Discover why distr...
#productivity#career#datascience#management
0 0
Gérard CubakaMay 24, 2026 • 6 min read
AlphaEarth Satellite Embeddings : révolution ou gadget pour l’exploration minière ?
Introduction Pour nous, géologues d’exploration, l’imagerie satellite est une mine d’or...
#ai#datascience#deeplearning#machinelearning
1 0
Rubén GilMay 23, 2026 • 2 min read
What 3.9M powerlifting records tell us about competition strategy — an EDA with Python
What 3.9M powerlifting records tell us about competition strategy — an EDA with Python When I...
#python#datascience#data#sportscience
0 0
bitanathMay 25, 2026 • 6 min read
Principal Components in TypeScript (Part 4)
This is part four of a series Principal Components in TypeScript and focuses on the application of.....
#typescript#analytics#datascience
1 0
GatussoMay 24, 2026 • 2 min read
Why My Baseline Random Forest Model Beat XGBoost: A Deep Dive into the Titanic Survival Prediction Dataset
A practical look at feature engineering, model optimization, and why simpler models...
#randomforest#python#machinelearning#datascience
0 0
bitanathMay 25, 2026 • 5 min read
Principal Components in TypeScript (Part 3)
This is part three of a series Principal Components in TypeScript and focuses on the application of....
#typescript#datascience#analytics
1 0
Alberto MartinezMay 25, 2026 • 4 min read
Construyendo un recomendador de películas en Python: de los datos al modelo
Introducción Los sistemas de recomendación están presentes en muchas plataformas...
#python#datascience#machinelearning#streamlit
0 0
FigCanvasMay 27, 2026 • 3 min read
How we test color palettes before they ship in scientific figures
The journals don't reject papers because the palette is wrong. They just give you another revision.....
#datascience#dataviz#research#a11y
0 0
Charles GivreMay 24, 2026 • 6 min read
What Training Exists for Security Professionals Learning AI and Data Science?
A survey of AI and data science training for security professionals: practitioner-led firms, SANS, c...
#ai#cybersecurity#datascience#learning
0 0
PPLU SEOMay 27, 2026 • 2 min read
¿Confían realmente los desarrolladores en la inteligencia artificial?
La inteligencia artificial ya forma parte del día a día de muchos desarrolladores, pero una pregunta...
#ai#datascience#developers#programming
0 0