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Most developers use these words interchangeably. They shouldn't. Concurrency and parallelism solve different problems, and mixing them up leads to code that's either over-engineered or broken in subtle ways.
Time complexity is the difference between code that handles a million users and code that crashes with a thousand. It is one of the most important concepts in software engineering and one of the most poorly understood outside of interview preparation. Here is the version that actually sticks.
Everyone tells you to be good at math for computer science. Almost nobody explains why in a way that connects to real work. Here is the honest version: what the math actually does, where it shows up, and why the underlying reasoning matters more than the equations themselves.