Kpop News Hub4d ago
Jung Woong In, Ahn Gil Kang, And Jung Jae Sung Transform Into High-Ranking Military Officials In “The Legend Of Kitchen Soldier” #Ahn #Gil #HighRanking #Jae #Jung #Kang #Kitchen #Legend #Military #Officials #Soldier #Sung #Transform #Woong
https://kpopnewshub.com/jung-woong-in-ahn-gil-kang-and-jung-jae-sung-transform-into-high-ranking-military-officials-in-the-legend-of-kitchen-soldier/?fsp_sid=27504
Jung Woong In, Ahn Gil Kang, And Jung Jae Sung Transform Into High-Ranking Military Officials In “The Legend Of Kitchen Soldier” - KpopNewsHub – Latest K-Pop News, Idols & Korean Entertainment

tvN’s “The Legend of Kitchen Soldier” has shared character stills of Jung Woong In, Ahn Gil Kang, and Jung Jae Sung in character!

Kpop News Hub
Show threadEcologia DigitalApr 24
@zedirceu
Boa #XaráZé!!
Lembro aqui que #Lula no FISL10 em 2009 disse: "ou nós íamos para a cozinha preparar o prato que nós queríamos comer, com os #temperos que nós queríamos colocar e dar um gosto brasileiro na comida, ou nós iríamos comer aquilo que a #Microsoft queria vender para a gente."
A #cultura era a chave adequada para o entendimento da potência política do ambiente digital, e não à toa o #MinC de #Gil e #Juca despontou internacionalmente. Precisamos retomar!
https://josemurilo.com/2025/12/24/programe-ou-seja-programado-o-vies-do-ambiente-digital-douglas-rushkoff-sxsw-2010/
Kpop News HubMar 25
Kim Nam Gil Takes Starring Role in "Nightmare" #Gil #Kim #Nam #Nightmare #Role #Starring #Takes
https://kpopnewshub.com/kim-nam-gil-takes-starring-role-in-nightmare/?fsp_sid=22544
Kim Nam Gil Takes Starring Role in "Nightmare" - KpopNewsHub – Latest K-Pop News, Idols & Korean Entertainment

Kim Nam Gil (Trigger) has taken a starring role in the new Korean drama Nightmare. Nightmare is set in a world where  vigilantes punish criminals by going

Kpop News Hub
HabrMar 24

GIL в Python для senior interview

GIL — самая известная «фича» Python, о которой большинство разработчиков знают ровно одну фразу: «мешает многопоточности». Этого хватает для джуна, но не для сеньора. Статья построена так, чтобы после её прочтения вы могли не только ответить на вопросы по GIL на senior-интервью, но и объяснить коллеге-стажеру, что происходит внутри интерпретатора, когда два потока пытаются одновременно изменить один список.

https://habr.com/ru/articles/1013930/

#python #gil #backend #cpython

GIL в Python для senior interview

Один важный момент: всё написанное здесь относится к CPython — стандартной реализации Python, которую вы, скорее всего, и используете. Jython и IronPython устроены иначе, там GIL нет....

Хабр
Riverfount  Mar 23

A GIL finalmente saiu do caminho.

O Python 3.14 torna a build free-threaded oficialmente suportada — não mais experimental. Threads CPU-bound que antes brigavam pelo mesmo core agora escalam de verdade.

Escrevi sobre o que muda na prática, como instalar em cada distro e o que você não pode mais assumir sobre thread safety:

https://www.riverfount.dev.br/posts/python_314_free_threading/

#python #freethreading #gil #cpython

A GIL finalmente saiu do caminho: o que muda com o Python 3.14 free-threaded

Você tem quatro núcleos disponíveis. Seu script Python usa um. Isso nunca foi um bug — era uma decisão de design que durava desde 1992. O Python 3.14 não remove essa limitação de vez, mas dá o passo mais concreto até agora para deixá-la para trás. O que é a GIL e por que ela importa A Global Interpreter Lock é um mutex que garante que apenas uma thread execute bytecode Python por vez dentro de um processo CPython. Ela existe por uma razão pragmática: simplifica imensamente o gerenciamento de memória e a integração com extensões C, que historicamente assumem que esse lock existe.

Blog do Riverfount
Kpop News HubMar 18
Kim Nam Gil And Lee Yoo Mi Confirmed For New Sci-Fi Drama #Confirmed #Drama #Gil #Kim #Lee #Nam #SciFi #Yoo
https://kpopnewshub.com/kim-nam-gil-and-lee-yoo-mi-confirmed-for-new-sci-fi-drama/?fsp_sid=20604
Kim Nam Gil And Lee Yoo Mi Confirmed For New Sci-Fi Drama - KpopNewsHub – Latest K-Pop News, Idols & Korean Entertainment

Kim Nam Gil and Lee Yoo Mi have been confirmed for the new drama “Nightmare” (literal translation)!

Kpop News Hub
Kpop News HubMar 11
Kim Nam Gil Makes Special Appearance As Ha Jung Woo’s Brother-In-Law In New Drama “Mad Concrete Dreams” #Appearance #BrotherInLaw #Concrete #Drama #Dreams #Gil #Jung #Kim #Mad #Nam #special #Woos
https://kpopnewshub.com/kim-nam-gil-makes-special-appearance-as-ha-jung-woos-brother-in-law-in-new-drama-mad-concrete-dreams/?fsp_sid=18984
Kim Nam Gil Makes Special Appearance As Ha Jung Woo’s Brother-In-Law In New Drama “Mad Concrete Dreams” - KpopNewsHub – Latest K-Pop News, Idols & Korean Entertainment

Kim Nam Gil is set to make a special appearance in his close friend Ha Jung Woo’s upcoming drama “Mad Concrete Dreams”!

Kpop News Hub
Kpop News HubMar 11
Lee Yoo Mi Joins Kim Nam Gil In Talks For New Sci-Fi Drama #Drama #Gil #Joins #Kim #Lee #Nam #SciFi #Talks #Yoo
https://kpopnewshub.com/lee-yoo-mi-joins-kim-nam-gil-in-talks-for-new-sci-fi-drama/?fsp_sid=18912
Lee Yoo Mi Joins Kim Nam Gil In Talks For New Sci-Fi Drama - KpopNewsHub – Latest K-Pop News, Idols & Korean Entertainment

Lee Yoo Mi may star in a new drama alongside Kim Nam Gil!

Kpop News Hub
N-gated Hacker NewsMar 9
Ah yes, the riveting tale of Python's GIL: the most misunderstood three-letter acronym since 'LOL' 😂. The authors propose unlocking #Python #cores as though they're disarming a bomb - spoiler alert: it's #energy, not nuclear 💥. Thank goodness we have 2603.04782 pages of #academic #wisdom to light our path through the dark forest of #computational #efficiency 🌳🔦.
https://arxiv.org/abs/2603.04782 #GIL #HackerNews #ngated
Unlocking Python's Cores: Hardware Usage and Energy Implications of Removing the GIL

Python's Global Interpreter Lock prevents execution on more than one CPU core at the same time, even when multiple threads are used. However, starting with Python 3.13 an experimental build allows disabling the GIL. While prior work has examined speedup implications of this disabling, the effects on energy consumption and hardware utilization have received less attention. This study measures execution time, CPU utilization, memory usage, and energy consumption using four workload categories: NumPy-based, sequential kernels, threaded numerical workloads, and threaded object workloads, comparing GIL and free-threaded builds of Python 3.14.2. The results highlight a trade-off. For parallelizable workloads operating on independent data, the free-threaded build reduces execution time by up to 4 times, with a proportional reduction in energy consumption, and effective multi-core utilization, at the cost of an increase in memory usage. In contrast, sequential workloads do not benefit from removing the GIL and instead show a 13-43% increase in energy consumption. Similarly, workloads where threads frequently access and modify the same objects show reduced improvements or even degradation due to lock contention. Across all workloads, energy consumption is proportional to execution time, indicating that disabling the GIL does not significantly affect power consumption, even when CPU utilization increases. When it comes to memory, the no-GIL build shows a general increase, more visible in virtual memory than in physical memory. This increase is primarily attributed to per-object locking, additional thread-safety mechanisms in the runtime, and the adoption of a new memory allocator. These findings suggest that Python's no-GIL build is not a universal improvement. Developers should evaluate whether their workload can effectively benefit from parallel execution before adoption.

arXiv.org
Hacker NewsMar 9

Unlocking Python's Cores:Energy Implications of Removing the GIL

https://arxiv.org/abs/2603.04782

#HackerNews #UnlockingPythonCores #EnergyImplications #GIL #PythonProgramming #TechNews #HackerNews

Unlocking Python's Cores: Hardware Usage and Energy Implications of Removing the GIL

Python's Global Interpreter Lock prevents execution on more than one CPU core at the same time, even when multiple threads are used. However, starting with Python 3.13 an experimental build allows disabling the GIL. While prior work has examined speedup implications of this disabling, the effects on energy consumption and hardware utilization have received less attention. This study measures execution time, CPU utilization, memory usage, and energy consumption using four workload categories: NumPy-based, sequential kernels, threaded numerical workloads, and threaded object workloads, comparing GIL and free-threaded builds of Python 3.14.2. The results highlight a trade-off. For parallelizable workloads operating on independent data, the free-threaded build reduces execution time by up to 4 times, with a proportional reduction in energy consumption, and effective multi-core utilization, at the cost of an increase in memory usage. In contrast, sequential workloads do not benefit from removing the GIL and instead show a 13-43% increase in energy consumption. Similarly, workloads where threads frequently access and modify the same objects show reduced improvements or even degradation due to lock contention. Across all workloads, energy consumption is proportional to execution time, indicating that disabling the GIL does not significantly affect power consumption, even when CPU utilization increases. When it comes to memory, the no-GIL build shows a general increase, more visible in virtual memory than in physical memory. This increase is primarily attributed to per-object locking, additional thread-safety mechanisms in the runtime, and the adoption of a new memory allocator. These findings suggest that Python's no-GIL build is not a universal improvement. Developers should evaluate whether their workload can effectively benefit from parallel execution before adoption.

arXiv.org