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 ...

What if your AI assistant could do more than just answer questions? Imagine it crafting custom reports from raw data, automating tedious workflows, or even generating stunning visuals for your next ...

While a basic Large Language Model (LLM) agent—one that repeatedly calls external tools—is easy to create, these agents often struggle with long and complex tasks because they lack the ability to plan ...

Abstract: Python's dynamic typing system offers flexibility and expressiveness but can lead to type-related errors, prompting the need for automated type inference to enhance type hinting. While ...

This whitepaper explores the development and implementation of such procedures using the Bruker Fourier 80 benchtop NMR spectrometer. Through examples involving model drug products, it highlights how ...

Hello! I'm a dreamer focusing on high-load distributed systems and low-level engineering. I mainly code in Rust and Python ...

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() ...

String manipulation is a core skill for every Python developer. Whether you’re working with CSV files, log entries, or text analytics, knowing how to split strings in Python makes your code cleaner ...

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 ...