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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.
A recursive vibe journalism experiment in which Microsoft 365 Copilot's 'Prompt Coach' agent is used to wholly create an ...
Microsoft has launched its Model Context Protocol (MCP) for Azure Functions, ensuring secure, standardized workflows for AI ...
Suppose you are working on a complex bash script to automate a series of tasks on your Linux system. You notice that as it grows, there are certain parts of the script where the same code blocks are ...
Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...
Functions are the building blocks of Python programming. They let you organize your code, reduce repetition, and make your programs more readable and reusable. Whether you’re writing small scripts or ...
Functions are the building blocks of Python programs. They let you write reusable code, reduce duplication, and make projects easier to maintain. In this guide, we’ll walk through all the ways you can ...
1 Fondazione Policlinico Universitario Campus Bio-Medico, Clinical and research section of Rheumatology and Clinical Immunology, Rome, Italy 2 University of Rome “Campus Bio-Medico”, Rheumatology and ...
It’s often the case that as we are writing code, we don’t have all the information we need for our program to produce the desired result. For example, imagine you were asked to write a calculator ...
Function calling lets an LLM act as a bridge between natural-language prompts and real-world code or APIs. Instead of simply generating text, the model decides when to invoke a predefined function, ...
In this Colab‑ready tutorial, we demonstrate how to integrate Google’s Gemini 2.0 generative AI with an in‑process Model Context Protocol (MCP) server, using FastMCP. Starting with an interactive ...
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