What is Big O notation? Explain with examples.
Big O notation describes how an algorithm's time or space requirements grow as input size (n) grows. It gives an upper bound on complexity. **Common complexities (best → worst):**...
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View GPT-4o answersBig O notation describes how an algorithm's time or space requirements grow as input size (n) grows. It gives an upper bound on complexity. **Common complexities (best → worst):**...
Recursion is when a function calls itself to solve smaller instances of the same problem. Here's a classic example with factorial: ```python def factorial(n): if n <= 1: # ba...
SQL JOINs combine rows from two tables based on a related column. Given: **users** (id, name) and **orders** (id, user_id, product) **INNER JOIN** — only rows that match in both ...
**== (loose equality)** compares values after type coercion — JavaScript converts operands to the same type before comparing. **=== (strict equality)** compares both value AND typ...
async/await in Python is built on top of the asyncio event loop. It lets you write concurrent code that looks synchronous. ```python import asyncio async def fetch_data(url: str)...
**TCP (Transmission Control Protocol)** is connection-oriented — it establishes a connection before sending data, guarantees delivery, order, and error-checking. Great for: web bro...
A **REST API** (Representational State Transfer) is an architectural style for building web services. It uses standard HTTP methods to perform operations on resources. **Core prin...