This article introduces practical methods for evaluating AI agents operating in real-world environments. It explains how to ...

JQ-By-Example solves a common developer problem: you know what JSON transformation you want, but writing the correct jq filter is tricky. Simply provide example input/output pairs, and JQ-By-Example ...

We describe an algorithm based on several novel concepts for synthesizing a desired program in this language from input-output examples. The synthesis algorithm is very efficient taking fraction of a ...

If you work with strings in your Python scripts and you're writing obscure logic to process them, then you need to look into regex in Python. It lets you describe patterns instead of writing ...

These days, if you need to connect two devices via wire, you'll most likely use HDMI. This display protocol supports all sorts of device pairings. It lets you use your iPhone with an external display, ...

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 ...

Working with numbers stored as strings is a common task in Python programming. Whether you’re parsing user input, reading data from a file, or working with APIs, you’ll often need to transform numeric ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

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 ...