Here are 12 AI prompt templates professionals can use to write, plan, debug, analyze data, and get more useful output from AI tools.

ProEssentials v10 introduces pe_query.py, the only charting AI tool that validates code against the compiled DLL binary ...

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 ...

Algorithms, examples and tests for denoising, deblurring, zooming, dequantization and compressive imaging with total variation (TV) and second-order total generalized variation (TGV) regularization.

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 ...

Welcome to the Data Structures and Algorithms Repository! My aim for this project is to serve as a comprehensive collection of problems and solutions implemented in Python, aimed at mastering ...