7.09.2025 состоялся релизPithon 3.14!
На фоне хайпа про NoGIL всё позабыли про другие фичи. Особенно про Multiple Interpreters, который обещает изоляцию процессов но с эффективностью потоков! На сколько действительно это будет эффективно мы узнаем позже, потому что сейчас это лишь первый релиз с ограничениями и недоработками.
Но что там про NoGIL? Теперь этот режим не экспериментальный, а официально поддерживаемый, но опциональный.
Чтобы запустить без GIL нужна специальная сборка. И перед стартом нужно объявить переменную PYTHON_GIL=0
Для вас я собрал готовый репозиторий где достаточно запустить скрпит, который всё сделает:
▫️ соберет релизный Python 3.14 в новый Docker-образ
▫️ запустит тесты в контейнере (GIL, NoGIL, MultiInterpreter)
▫️ распечатает результаты
Тест очень простой, усложняйте сами)
Вот какие результаты у меня:
=== Running ThreadPoolExecutor GIL ON
TOTAL TIME: 45.48 seconds
=== Running ThreadPoolExecutor GIL OFF
TOTAL TIME: 6.14 seconds
=== Running basic Thread GIL ON
TOTAL TIME: 45.54 seconds
=== Running basic Thread GIL OFF
TOTAL TIME: 4.74 seconds
=== Running with Multi Interpreter
TOTAL TIME: 18.30 seconds
Если сравнивать GIL и NoGIL, то на мои 32 ядра прирост х7-x10 (почему не х32? 🤷). При этом нам обещают что скорости будут расти с новыми релизами.
Режим без GIL похож (визуально) на async, тоже параллельно, тоже не по порядку. Но это не IO! и от того некоторый диссонанс в голове 😵💫, нас учили не так!
Интересно, что чистый Thread работает быстрей чем ThreadPoolExecutor без GIL.
Ну и где-то плачет один адепт мульти-интерпретаторов😭 Теперь нужно искать где они могут пригодиться с такой-то скоростью. Скорее всего своя область применения найдется.
Отдельно я затестил память и вот что вышло на 32 потока:
ThreadPoolExecutor GIL ON
305.228 MB
ThreadPoolExecutor GIL OFF
500.176 MB
basic Thread GIL ON
90.668 MB
basic Thread GIL OFF
472.444 MB
with Multi Interpreter
1267.788 MB
Пока не знаю как к этому относиться)
В целом - радует направление развития!
#release
😄Pretty
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🔘Pretty as an adjective means 'attractive, especially when talking about girls or women'.
Margo always tells her daughter that she's pretty.Margo always tells her daughter that she's pretty.
🔜Jacob's mum is really pretty.
🔘Pretty is also used to talk about things that are 'pleasant to look at in a delicate or charming way'. While this is often connected to females, it can also be used to describe something like 'a view'.
🔜There's a very pretty view at the top of that hill.
🔜My friend moved out of the city and bought a pretty cottage in the countryside.
🔘As an adverb, pretty can be an informal way of saying 'quite' or 'rather'.
🔜The house was built recently, it's pretty new.
🔜I enjoyed that film, it was pretty good.
🔘We can also use pretty to give emphasis.
🔜We went to bed at 2am, so we were pretty tired.
🔜I'm pretty angry right now, so don't talk to me.
#Pretty👨🏫@America
➖➖➖➖➖➖➖➖➖➖➖➖
🆕 Crypto News @Money
😁 Crypto Game @Egame
🇺🇸 US News @America
🇯🇵 Japan News @Japan
🇦🇪 UAE News @Dubai
▶️ Popular Movies @Videos
😜 Best Funny Video @Funnys
😄Pretty
➖➖➖➖➖➖
🔘Pretty as an adjective means 'attractive, especially when talking about girls or women'.
Margo always tells her daughter that she's pretty.Margo always tells her daughter that she's pretty.
🔜Jacob's mum is really pretty.
🔘Pretty is also used to talk about things that are 'pleasant to look at in a delicate or charming way'. While this is often connected to females, it can also be used to describe something like 'a view'.
🔜There's a very pretty view at the top of that hill.
🔜My friend moved out of the city and bought a pretty cottage in the countryside.
🔘As an adverb, pretty can be an informal way of saying 'quite' or 'rather'.
🔜The house was built recently, it's pretty new.
🔜I enjoyed that film, it was pretty good.
🔘We can also use pretty to give emphasis.
🔜We went to bed at 2am, so we were pretty tired.
🔜I'm pretty angry right now, so don't talk to me.
#Pretty👨🏫@America
➖➖➖➖➖➖➖➖➖➖➖➖
🆕 Crypto News @Money
😁 Crypto Game @Egame
🇺🇸 US News @America
🇯🇵 Japan News @Japan
🇦🇪 UAE News @Dubai
▶️ Popular Movies @Videos
😜 Best Funny Video @Funnys
http://www.enlistq.com/10-python-idioms-to-help-you-improve-your-code/
If you have ever tried to learn a new language (not a programming language), you know that we always think in our native language before we translate it to the new language. This can lead to you forming some sentences that don’t make sense in the new language but are perfectly normal in your native language. For example, in a lot of languages, you ‘open’ an electronic gadget such as fan, AC or cell phone. When you say that in English, it means to literally open the gadget instead of turning it on.
The same is true for programming languages. As we pick up new languages, such as #python, we are using our prior knowledge of programming in another language (q, java, c++ etc) and translating that to python. Many times, your code will work but it won’t be ‘#pretty’ or #fast. In python terms, your code won’t be ‘#pythonic’.