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newvick.com | ||
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blog.jetbrains.com
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| | | | | Want to write faster Python code? Discover the difference between `async/await` and `threading` and how concurrency works in Python with real-world examples. | |
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www.integralist.co.uk
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| | | | | This is a quick guide to Python's asyncio module and is based on Python version 3.8. Introduction Why focus on asyncio? A quick asyncio summary A quick concurrent.futures summary Green Threads? Event Loop Awaitables Coroutines Tasks Futures Running an asyncio program Running Async Code in the REPL Use another Event Loop Concurrent Functions Deprecated Functions Examples gather wait wait_for as_completed create_task Callbacks Pools Executors asyncio.Future vs concurrent.futures.Future asyncio.wrap_future ... | |
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tenthousandmeters.com
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| | | | | Mark functions as async. Call them with await. All of a sudden, your program becomes asynchronous - it can do useful things while it waits for... | |
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www.craftinginterpreters.com
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| | | [AI summary] The text provides an in-depth overview of the Lox programming language, covering its design, features, and implementation. It discusses the language's minimalistic approach, including its support for expressions and statements, object-oriented programming (OOP) concepts like classes, inheritance, and initialization, as well as its lack of a comprehensive standard library. The text also explores design decisions, such as the use of the < operator for inheritance, the absence of a new keyword, and the handling of expressions versus statements. It concludes by highlighting the language's simplicity and the open questions it raises about syntax and semantics. | ||
