Python data types define how values are stored, processed, and interpreted in every program. Choosing the right data type improves clarity, reduces errors, and simplifies logic. Understanding ...

Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets make each project practical and industry-relevant. Skills gained cover analysis, ...

The North Korean threat actors behind the Contagious Interview campaign have once again tweaked their tactics by using JSON storage services to stage malicious payloads. "The threat actors have ...

Google announced Query groups in Search Console Insights. The AI feature clusters similar search queries, surfaces trends, and shows which topics drive clicks. Query groups uses AI to cluster similar ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Abstract: With the increasing popularity of geo-positioning technologies and mobile Internet, spatial data query services have attracted extensive attention. To protect the confidentiality of ...

🔔 The automatic evaluation on CodaLab are under construction. The MathVista dataset is derived from three newly collected datasets: IQTest, FunctionQA, and Paper, as well as 28 other source datasets.

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

If you’re new to Python, one of the first things you’ll encounter is variables and data types. Understanding how Python handles data is essential for writing clean, efficient, and bug-free programs.