Python

Use math.ceil() for single values, a scale-and-ceil pattern for decimal places, Decimal for exact finance-style rules, and NumPy for arrays.

Use direct, sorted, and safe mutation loops to process keys, values, and key–value pairs reliably.

Use input(), type conversion, and validation patterns to collect strings, numbers, and lists.

Use time.sleep(), asyncio.sleep(), and event- or GUI-friendly timers to delay work without stalling the wrong parts of your program.

Create, filter, and transform lists concisely with Python’s comprehension syntax.

A small built-in that pairs each item with its index, making loops cleaner and more readable.

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