Image by Author   Contents# Introduction# The Dataset We Used// Dataset Overview// Peeking Into the Data with Pandas# Setting Up a Fair Testing Environment// Loading Data into Pandas// Registering Data with DuckDB// Preparing Data for SQLite# How We Benchmarked the Tools// Ensuring Consistent Setup// Measuring Execution Time// Tracking Memory Usage// The Benchmark Queries# Benchmark Results// Query 1: Total Transaction Value// Query 2: Group by Domain// Query 3: Filter by Location (Goa)// Query 4: …

We Benchmarked DuckDB, SQLite, and Pandas on 1M Rows: Here’s What Happened Read More »

Earlier this year, we mentioned that we’re bringing computer use capabilities to developers via the Gemini API. Today, we are releasing the Gemini 2.5 Computer Use model, our new specialized model built on Gemini 2.5 Pro’s visual understanding and reasoning capabilities that powers agents capable of interacting with user interfaces (UIs). It outperforms leading alternatives …

Introducing the Gemini 2.5 Computer Use model Read More »

are planning next year’s birthday celebrations for three friends: Gabriel, Jacques, and Camille. All three of them were born in 1996, in Paris, France, so they will be 30 years old next year in 2026. Gabriel and Jacques will happen to be in Paris on their respective birthdays, while Camille will be in Tokyo, Japan, …

Know Your Real Birthday: Astronomical Computation and Geospatial-Temporal Analytics in Python Read More »

Image by Ideogram   Contents# Introduction# How I Use Statistics in My Data Science Job# Three Resources to Learn Statistics for Data Science# Takeaways # Introduction  When you hear the word data science, you probably think of two words: programming and statistics. In fact, the prerequisite of learning statistics often discourages people from pursuing a career in data. It doesn’t …

How I Actually Use Statistics as a Data Scientist Read More »

Responsibility & Safety Published 6 October 2025 Authors Raluca Ada Popa and Four Flynn Using advanced AI to fix critical software vulnerabilities Today, we’re sharing early results from our research on CodeMender, a new AI-powered agent that improves code security automatically. Software vulnerabilities are notoriously difficult and time-consuming for developers to find and fix, even …

Introducing CodeMender: an AI agent for code security Read More »

of AI hype, it feels like everyone is using Vision-Language Models and large Vision Transformers for every problem in Computer Vision. Many people see these tools as one-size-fits-all solutions and immediately use the latest, shiniest model instead of understanding the underlying signal they want to extract. But oftentimes there’s beauty to simplicity. It’s one of …

Classical Computer Vision and Perspective Transformation for Sudoku Extraction Read More »

Image by Editor   Contents# Introducing ChatGPT Study Mode# Study Mode Key Features# How to Use Study Mode# Benefits & Drawbacks of ChatGPT Study Mode# Conclusion # Introducing ChatGPT Study Mode  Among the unending supply of AI-powered tools and features of late, ChatGPT Study Mode has captured the attention of students, educators, and lifelong learners. It promises to revolutionize study habits …

Is ChatGPT Study Mode a Hidden Gem or a Gimmick? Read More »

dashboard for your customers, clients, or fellow workers is becoming an essential part of the skill set required by software developers, data scientists, ML practitioners, and data engineers. Even if you work primarily on back-end processing, the data you’re processing usually needs to be “surfaced” to users at some point. If you’re lucky, your organisation …

Build a Data Dashboard Using HTML, CSS, and JavaScript Read More »

Image by Editor   Contents# Introduction# Why Feature Selection Matters# The Dataset# Filter Method# Wrapper Method# Embedded Method# Results Comparison# Conclusion # Introduction  In any machine learning project, feature selection can make or break your model. Selecting the optimal subset of features reduces noise, prevents overfitting, enhances interpretability, and often improves accuracy. With too many irrelevant or redundant variables, models become bloated and harder …

We Used 3 Feature Selection Techniques: This One Worked Best Read More »

are large-scale AI models trained on a vast and diverse range of data, such as audio, text, images, or a combination of them. Because of this versatility, foundation models are revolutionizing Natural Language Processing, Computer Vision, and even Time Series. Unlike traditional AI algorithms, foundation models offer out-of-the-box predictions without the need for training from …

Are Foundation Models Ready for Your Production Tabular Data? Read More »