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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

6KPosts 526Abonnés 6Abonnements
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Super Fast Python
 @SuperFastPython
18 déc.

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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Super Fast Python
 @SuperFastPython
2 h

Query the name of a running thread #Python #Concurrency

SuperFastPython's tweet image. Query the name of a running thread #Python #Concurrency
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SuperFastPython's profile picture.
Super Fast Python
 @SuperFastPython
4 h

Tip: Use exponential backoff in busy-wait loops to gradually increase wait times, minimizing resource consumption in Python programs. #Python #Concurrency

SuperFastPython's tweet image. Tip: Use exponential backoff in busy-wait loops to gradually increase wait times, minimizing resource consumption in Python programs. #Python #Concurrency
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Super Fast Python
 @SuperFastPython
7 h

Discover how to develop parallel for-loops with the multiprocessing Pool class. Book: "Python Multiprocessing Pool Jump-Start" superfastpython.com/python-multipr…

SuperFastPython's tweet image. Discover how to develop parallel for-loops with the multiprocessing Pool class. Book: "Python Multiprocessing Pool Jump-Start" superfastpython.com/python-multipr…
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SuperFastPython's profile picture.
Super Fast Python
 @SuperFastPython
8 h

Create and start a thread with custom name #Python #Concurrency

SuperFastPython's tweet image. Create and start a thread with custom name #Python #Concurrency
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SuperFastPython's profile picture.
Super Fast Python
 @SuperFastPython
9 h

multiprocessing.SimpleQueue API #Python #Concurrency

SuperFastPython's tweet image. multiprocessing.SimpleQueue API #Python #Concurrency
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SuperFastPython's profile picture.
Super Fast Python
 @SuperFastPython
10 h

Tip: Consider time.sleep() or asyncio.sleep() in Python loops to reduce CPU usage during busy waiting when waiting for external conditions. #Python #Concurrency

SuperFastPython's tweet image. Tip: Consider time.sleep() or asyncio.sleep() in Python loops to reduce CPU usage during busy waiting when waiting for external conditions. #Python #Concurrency
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SuperFastPython's profile picture.
Super Fast Python
 @SuperFastPython
14 h

Use multiprocessing.Pool for parallel pipeline stages #Python #Concurrency

SuperFastPython's tweet image. Use multiprocessing.Pool for parallel pipeline stages #Python #Concurrency
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SuperFastPython's profile picture.
Super Fast Python
 @SuperFastPython
16 h

Tip: Use spin locks only for short critical sections in Python, as they continuously consume CPU cycles while waiting. #Python #Concurrency

SuperFastPython's tweet image. Tip: Use spin locks only for short critical sections in Python, as they continuously consume CPU cycles while waiting. #Python #Concurrency
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Super Fast Python
 @SuperFastPython
20 h

Use ThreadPoolExecutor for a two-stage pipeline pattern #Python #Concurrency

SuperFastPython's tweet image. Use ThreadPoolExecutor for a two-stage pipeline pattern #Python #Concurrency
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SuperFastPython's profile picture.
Super Fast Python
 @SuperFastPython
17 déc.

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
16 déc.

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
16 déc.

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
16 déc.

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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