Data Science News

Latest Data Science News & Updates (Updated Hourly)

Stay ahead in Data Science with hourly updated news, tools, and tutorials. Curated from multiple sources for developers.

Latest Data Science articles

Detect AI Agent Hallucinations: Zero-Shot Methods

Detect AI Agent Hallucinations: Zero-Shot Methods

Detect AI hallucinations without labeled data using zero‑shot LSC, claim decomposition, and guardrails in Strands. Block unsafe outputs and monitor drift....

05 June 2026devto

Uncovering Hidden Radiation Patterns with Python and Pandas

Uncovering Hidden Radiation Patterns with Python and Pandas

Retrieve and analyze real‑time and historical radiation data from GMCMap with Python and Pandas to spot environmental anomalies....

05 June 2026medium

Journal Figure Replication | Plotting a Horizontal Percent Stacked Bar Chart with Python

Journal Figure Replication | Plotting a Horizontal Percent Stacked Bar Chart with Python

Explore a land-water-energy-GHG nexus framework for climate-change mitigation in North China Plain agriculture, with Python data visualizations....

05 June 2026medium

FROM CLASSROOMS TO CONTAINERS

FROM CLASSROOMS TO CONTAINERS

Build a serverless ETL pipeline on GCP with Python, Pandas, SQLAlchemy, and MySQL, featuring defensive architecture, mock fallback, and idempotency....

05 June 2026medium

3 SpaCy Tricks for Efficient Text Processing & Entity Recognition

3 SpaCy Tricks for Efficient Text Processing & Entity Recognition

Boost spaCy performance with selective pipeline loading, parallel batch processing, and hybrid NER for faster, memory‑efficient text pipelines....

05 June 2026kdnuggets.com

Why Your R-Squared is High but Your Model Still Sucks

Why Your R-Squared is High but Your Model Still Sucks

Learn MAE, MSE, RMSE, R², Adjusted R², and Standard Error with Python code on the Auto MPG dataset, plus tips on feature engineering and model tuning....

05 June 2026medium

Why TPUs Aren't Popular (Even Though They're Cheaper Per Token)

Why TPUs Aren't Popular (Even Though They're Cheaper Per Token)

TPU and Trainium offer lower cost-per-token, but static shapes force packing, masking, and a collapsed dev‑ops boundary. Why most inference still runs on NVIDIA GPUs....

05 June 2026devto

I Opened the Black Box. Built Linear Regression from Scratch on Real Housing Data.

I Opened the Black Box. Built Linear Regression from Scratch on Real Housing Data.

Build a linear regression from scratch with NumPy on King County house sales, compare to sklearn, and deploy via Docker....

05 June 2026medium

8 AI Agent Sandboxes, Ranked — and Why the Fastest One Will Wreck Your Agent in Production

8 AI Agent Sandboxes, Ranked — and Why the Fastest One Will Wreck Your Agent in Production

AI sandbox benchmarks focus on cold‑start speed, but Tensorlake offers suspend/resume, snapshot/fork, and fast stateful I/O for real‑world agents....

05 June 2026medium

An online memory game with a dashboard – When a data analyst builds a website

An online memory game with a dashboard – When a data analyst builds a website

Django memory game with PostgreSQL backend, capturing click data for analytics. Visualize results using Pandas, Matplotlib, Seaborn dashboards....

04 June 2026reddit

Python Arrays Made Easy: Everything You Need to Know with Examples

Python Arrays Made Easy: Everything You Need to Know with Examples

Learn how to create and manipulate Python arrays using lists, the array module, and NumPy, covering operations, slicing, and multidimensional examples....

04 June 2026medium

Four libraries for your Python Polars data workflows

Four libraries for your Python Polars data workflows

Explore Polars with pointblank for data validation, Great Tables for publication tables, plotnine for ggplot2-style charts, and mall for LLM insights. All in Python....

04 June 2026medium

descripstats 0.1.1 Released: Modernizing Descriptive Statistics for Pandas 2.x +

descripstats 0.1.1 Released: Modernizing Descriptive Statistics for Pandas 2.x +

Discover descripstats 0.1.1, a lightweight Python package that extends pandas DataFrame.describe() with advanced EDA metrics for data scientists....

04 June 2026medium

Can Machine Learning predict the World Cup Winner?

Can Machine Learning predict the World Cup Winner?

Build a FIFA World Cup 2026 predictor with data cleaning, feature engineering, and ML models. Random Forest tops accuracy, forecasting Argentina as champion....

04 June 2026medium

How to Preprocess Medical Images for Machine Learning – A Guide Using Chest X-Rays

How to Preprocess Medical Images for Machine Learning – A Guide Using Chest X-Rays

Validate and preprocess chest X‑ray images for pneumonia detection with scaling, normalization, ROI cropping, CLAHE, denoising, and a Python/OpenCV pipeline....

04 June 2026freecodecamp

8 AI Agent Sandboxes, Ranked — and Why the Fastest One Will Wreck Your Agent in Production

8 AI Agent Sandboxes, Ranked — and Why the Fastest One Will Wreck Your Agent in Production

AI sandbox benchmark shows boot speed isn’t everything, tail latency, suspend/resume, snapshot/fork, and stateful I/O matter most. Tensorlake leads....

04 June 2026medium

This One Python Concept Made Everything Else Easier

This One Python Concept Made Everything Else Easier

Learn how treating everything in Python as an object simplifies automation, debugging, and library use, boosting speed and clarity in projects....

04 June 2026medium

3 Costly Mistakes You Are Making With Pandas (And How to Fix Them With Polars)

3 Costly Mistakes You Are Making With Pandas (And How to Fix Them With Polars)

Stop slow Pandas loops, eager loads, and chained copies. Use Polars’ lazy, vectorized API to cut 7× runtime on 50M rows. Learn the 3 key fixes....

04 June 2026medium

Small Data, Big Maps: Training Geospatial ML Models When Samples Are Scarce

Small Data, Big Maps: Training Geospatial ML Models When Samples Are Scarce

Build reliable geospatial ML with limited field data: feature engineering, tree models, spatial validation, and uncertainty mapping for remote sensing....

04 June 2026towardsdatascience.com

7 Steps to Mastering Time Series Analysis with Python

7 Steps to Mastering Time Series Analysis with Python

Master time series analysis in Python: learn data structures, cleaning, EDA, ARIMA, ML models, and deployment best practices for accurate forecasting....

04 June 2026kdnuggets.com