Tool calling lets an AI model request a function, API, search, or action using structured arguments. This guide traces the ...

When a calculation result is off by one yen, simply adding round at the end does not always solve the problem. The result ...

Introduction to math and random In this lesson, we will explain Python's standard libraries: math and random. When writing ...

It cut my session cost to about a third.

In this quickstart, you add Microsoft Agent Framework reasoning to an HTTP-triggered Python function. The function prepares order data in code before a Microsoft Agent Framework Agent assesses the ...

Learn how to build a Python AI agent with the OpenAI Agents SDK, using tool calling and function tools to automate multi-step workflows. You do not need to rewrite your Python applications to start ...

See how a SafeBreach Labs researcher escalated privileges to root inside Microsoft’s isolated Python in Excel containers and found a way to bypass a core Excel security control by weaponizing a ...

Armored Likho APT uses AI-generated malware, phishing, and BusySnake Stealer to target governments and power grids in Russia, Kazakhstan, and Brazil. Kaspersky’s threat research team has documented a ...

In this tutorial, we implement SHAP workflows as a practical framework for interpreting machine learning models beyond basic feature-importance plots. We start by training tree-based models and then ...

Implement ML algorithms from scratch in Python and answer the conceptual questions that trip up candidates. Covers logistic regression, K-means, ROC-AUC, cross-validation, feature engineering, ...

Most Python applications spend significant time waiting on APIs, databases, file systems, and network services. Async programming allows a program to pause while waiting for I/O operations and ...