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Generate realistic test data in Python fast. No dataset required
Learn the NumPy trick for generating synthetic data that actually behaves like real data.
Google’s Lang Extract uses prompts with Gemini or GPT, works locally or in the cloud, and helps you ship reliable, traceable data faster.
A recursive vibe journalism experiment in which Microsoft 365 Copilot's 'Prompt Coach' agent is used to wholly create an article on how to use 'Prompt Coach' agent to prompt M365 Copilot.
Chainguard is adding 10 open-source projects to its EmeritOSS program. The new projects include tools for object storage, ...
This library is a reimplementation and subset of json_stream. It enables reading JSON data from a stream rather that loading it all into memory at once. The interface works like lists and dictionaries ...
Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...
Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...
Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...
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 ...
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