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SuperFastPython's profile picture. Making python developers awesome at concurrency. #python #threading #multiprocessing #asyncio

Super Fast Python

@SuperFastPython

Making python developers awesome at concurrency. #python #threading #multiprocessing #asyncio

6RibuPostingan 527Pengikut 6Mengikuti
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SuperFastPython's profile picture.
Super Fast Python
 @SuperFastPython
18 Des

Discover how to execute Python loops using all CPU cores. Book: "Parallel Loops in Python" marvelous-writer-6152.ck.page/99ee689b9b

SuperFastPython's tweet image. Discover how to execute Python loops using all CPU cores. Book: "Parallel Loops in Python" marvelous-writer-6152.ck.page/99ee689b9b
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SuperFastPython's profile picture.
Super Fast Python
 @SuperFastPython
5 jam

Use asyncio for an asynchronous pipeline pattern #Python #Concurrency

SuperFastPython's tweet image. Use asyncio for an asynchronous pipeline pattern #Python #Concurrency
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SuperFastPython's profile picture.
Super Fast Python
 @SuperFastPython
6 jam

Tip: Avoid busy waiting in Python by using synchronization primitives like threading.Event or Condition to block efficiently until a signal is received. #Python #Concurrency

SuperFastPython's tweet image. Tip: Avoid busy waiting in Python by using synchronization primitives like threading.Event or Condition to block efficiently until a signal is received. #Python #Concurrency
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SuperFastPython's profile picture.
Super Fast Python
 @SuperFastPython
11 jam

Use multiprocessing for a multi-stage pipeline pattern #Python #Concurrency

SuperFastPython's tweet image. Use multiprocessing for a multi-stage pipeline pattern #Python #Concurrency
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SuperFastPython's profile picture.
Super Fast Python
 @SuperFastPython
12 jam

Tip: Optimize task granularity in Python to ensure each parallel job is large enough to offset the overhead of process management. #Python #Concurrency

SuperFastPython's tweet image. Tip: Optimize task granularity in Python to ensure each parallel job is large enough to offset the overhead of process management. #Python #Concurrency
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SuperFastPython's profile picture.
Super Fast Python
 @SuperFastPython
17 jam

Use threading for a multi-stage pipeline pattern #Python #Concurrency

SuperFastPython's tweet image. Use threading for a multi-stage pipeline pattern #Python #Concurrency
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SuperFastPython's profile picture.
Super Fast Python
 @SuperFastPython
18 jam

Tip: Use Python’s map() or starmap() functions in multiprocessing to apply the same operation across many inputs in parallel. #Python #Concurrency

SuperFastPython's tweet image. Tip: Use Python’s map() or starmap() functions in multiprocessing to apply the same operation across many inputs in parallel. #Python #Concurrency
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SuperFastPython's profile picture.
Super Fast Python
 @SuperFastPython
23 jam

Use multiprocessing.Pool for a producer-consumer pattern #Python #Concurrency

SuperFastPython's tweet image. Use multiprocessing.Pool for a producer-consumer pattern #Python #Concurrency
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SuperFastPython's profile picture.
Super Fast Python
 @SuperFastPython
16 Des

Use concurrent.futures for a producer-consumer pattern with threads #Python #Concurrency

SuperFastPython's tweet image. Use concurrent.futures for a producer-consumer pattern with threads #Python #Concurrency
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SuperFastPython's profile picture.
Super Fast Python
 @SuperFastPython
15 Des

Tip: Avoid shared state when solving embarrassingly parallel problems in Python, as each task can run independently. #Python #Concurrency

SuperFastPython's tweet image. Tip: Avoid shared state when solving embarrassingly parallel problems in Python, as each task can run independently. #Python #Concurrency
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SuperFastPython's profile picture.
Super Fast Python
 @SuperFastPython
15 Des

Discover how to execute IO-bound tasks using modern thread pools with the ThreadPoolExecutor. Book: "Python ThreadPoolExecutor Jump-Start" superfastpython.com/python-threadp…

SuperFastPython's tweet image. Discover how to execute IO-bound tasks using modern thread pools with the ThreadPoolExecutor. Book: "Python ThreadPoolExecutor Jump-Start" superfastpython.com/python-threadp…
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SuperFastPython's profile picture.
Super Fast Python
 @SuperFastPython
15 Des

Use asyncio for an asynchronous producer-consumer pattern #Python #Concurrency

SuperFastPython's tweet image. Use asyncio for an asynchronous producer-consumer pattern #Python #Concurrency
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SuperFastPython's profile picture.
Super Fast Python
 @SuperFastPython
15 Des

Tip: Leverage concurrent.futures.ProcessPoolExecutor in Python for simple and scalable parallel execution of independent tasks. #Python #Concurrency

SuperFastPython's tweet image. Tip: Leverage concurrent.futures.ProcessPoolExecutor in Python for simple and scalable parallel execution of independent tasks. #Python #Concurrency
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