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okay, let's dive into concurrency in go, which is a crucial and powerful feature of the language. this tutorial will cover what concurrency is, how it differs from parallelism, and how go provides its own unique (and often simpler) approach using goroutines and channels. we'll also discuss best practices, common pitfalls, and some more advanced concurrency patterns.

*go class 22: concurrency in go*

*1. what is concurrency?*

concurrency is the ability of a program to handle multiple tasks at the same time or, more precisely, to make progress on multiple tasks seemingly at the same time. it's about structuring your program in a way that it can handle independent pieces of work in an interleaved or overlapping fashion. think of it as a chef who is prepping multiple dishes simultaneously, switching between them as needed.

*key idea:* concurrency is about dealing with multiple things at once. it doesn't necessarily mean they are all running at the exact same clock tick.

*2. concurrency vs. parallelism*

it's very important to distinguish between concurrency and parallelism, as they are often confused:

*parallelism:* is the ability to run multiple tasks simultaneously*, using multiple cores or processors. it's about *doing multiple things at once. imagine multiple chefs in the same kitchen, each working on a different dish at the same time.

*concurrency:* is a property of a program's design*, and it allows a program to be structured to handle multiple tasks at the same time *even if it's running on a single cpu core. the operating system (or the go runtime) may switch between these tasks rapidly, giving the illusion of simultaneous execution.

*in summary:* parallelism requires multiple processing units, while concurrency does not. a concurrent program can be parallelized if you have multiple cores, but it's not a requirement. concurrency is a broader concept that enables parallelism but isn't the same thing.
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Go concurrency
Go class 22
goroutines
channels
concurrency patterns
synchronization
Go programming
parallel execution
shared memory
race conditions
concurrent data structures
Go routines
context package
select statement
asynchronous programming