Python turns 32. Explore 32 practical Python one-liners that show why readability, simplicity, and power still define the ...

Excel has native regex support, and it works exactly how you'd expect.

In the realm of automation testing, precision and efficiency are key. One of the most powerful tools for ensuring accurate API and data validation is Regular Expressions (regex). When combined with ...

Using the data shown, it is not clear the difference between using "X" vs. "^X" as both results are the same. With the ^ the search picks up the X at the beginning of the line at position 6. With no ^ ...

Let’s take a quick walkthrough of the most used methods of list in Python. The shopkeeper is quite mechanical. He does the stuff as ordered without giving any second thought. Because you don’t want ...

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

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 ...

Multiplication in Python may seem simple at first—just use the * operator—but it actually covers far more than just numbers. You can use * to multiply integers and floats, repeat strings and lists, or ...

A method for locating specific character strings embedded in character text is described and an implementation of this method in the form of a compiler is discussed. The compiler accepts a regular ...