h4ckernews (@h4ckernews@mastodon.social)
Python's Lazy Imports: Why It Took Three Years and Two Attempts
#HackerNews #Python #Lazy #Imports #Python #Development #Software #Engineering #Tech #News
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r (@r@fed.brid.gy)
#python #brain_use Found this hidden gem in one of old @nedbat.com@bsky.brid.gy's blog posts [1] when collecting links to share in a rant on why the test dirs should have coverage measured (and the proper use of pragmas et al for getting to that stable coverage 100% metric):
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r (@r@fed.brid.gy)
#python #brain_use [1] nedbatchelder.com/blog/200710/...
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r (@r@fed.brid.gy)
> [..] tools are only helpful if they’re used to enhance thought, not replace it [..] Kinda echoes what @bdraco.org and I have been discussing regarding modern tooling (you know which one I'm implying!) #python #brain_use
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CuratedHackerNews (@CuratedHackerNews@mastodon.social)
Python's Lazy Imports: Why It Took Three Years and Two Attempts
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lwn (@lwn@fedi.lwn.net)
[$] Inspecting and modifying Python types during type checking
Python has a unique approach to static typing. Python programs can contain type annotations, and even access those annotations at run time, but the annotations aren't evaluated by [...]
https://lwn.net/Articles/1061083/ #LWN #Linux #Python #Zig
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Reuven (@Reuven@fosstodon.org)
Iran's will attack ships in the Strait of Hormuz, and oil prices are spiking! 🛢️💰📈
How much oil does Iran produce? How about other countries? How much oil is exported, vs. kept for domestic use?
Bamboo Weekly challenges you to answer these using #Python and #Pandas.
Check it out at https://BambooWeekly.com
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tchauhan (@tchauhan@mastodon.mit.edu)
Do you use an LSP for python ? If so, which one ?
I just discovered basedpyright. NUTS. It is hands down the best open source experience I have had developing in this infuriatingly promiscuous language with no concern for runtime safety (I understand the historical reasons... I am just sad it has become the defacto standard for my field).
#python #languageserverProtocol #lsp #emacs #basedPyright
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mopicmp (@mopicmp@mastodon.social)
Python Tip: defaultdict Magic
from collections import defaultdict
groups = defaultdict(list)
for item in data:
groups[item.category].append(item)
# No KeyError, auto-creates lists
defaultdict creates missing keys automatically. No more 'if key not in dict' checks.
https://raccoonette.gumroad.com/l/Python-for-Beginners-From-Zero-to-Your-First-Projects
#Python #CodingTips #Programming
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mopicmp (@mopicmp@mastodon.social)
Python Tip: Unpacking with *
first, *middle, last = [1, 2, 3, 4, 5]
# first=1, middle=[2,3,4], last=5
Star unpacking captures multiple values into a list. Works with any iterable.
https://raccoonette.gumroad.com/l/Python-for-Beginners-From-Zero-to-Your-First-Projects
#Python #CodingTips #Programming
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riverfount (@riverfount@bolha.us)
Sets em Python: muito mais que remover duplicatas 🐍
Acabei de publicar um deep dive completo sobre sets — a estrutura de dados que a maioria dos engenheiros Python subestima.
Aprenda:
• Por que `if x in set` é O(1) e `if x in list` é O(n)
• Operações de conjunto em produção (união, interseção, diferença)
• Frozenset: quando você precisa de imutabilidade
• Casos reais: grafos, cache, detecção de anomalias
Esse é o tipo de conhecimento que transforma seu código de "funciona" para "funciona RÁPIDO".
Leia o artigo completo:
https://www.riverfount.dev.br/posts/sets_em_python/
Dúvidas ou sugestões? Responde aqui! 🚀
#Python #DataStructures #Performance #Algorithms #DSA #Engineering
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GripNews (@GripNews@mastodon.social)
🌘 解鎖 Python 核心：移除全域直譯器鎖（GIL）後的硬體利用率與能耗影響
➤ 效能與代價的博弈：無 GIL Python 環境的實證分析
✤ https://arxiv.org/abs/2603.04782
Python 的全域直譯器鎖（GIL）長期以來限制了多核心 CPU 的並行處理能力。隨著 Python 3.13 引入實驗性的無 GIL 模式，本研究針對 Python 3.14.2 進行了深入評測。作者透過比較標準版與無 GIL 版本在四種不同工作負載（包含 NumPy、序列化核心、執行緒數值計算及物件操作）下的表現，揭示了一個關鍵事實：移除 GIL 並非萬靈丹。對於可高度並行的運算，執行效能提升顯著且節能；但對於序列化任務或涉及高度物件競爭的執行緒，則會導致能耗增加及記憶體負擔。這項研究為開發者選擇合適的執行環境提供了重要的效能評估指標。
+ 這篇研究非常及時。我們團隊原本打算全面升級至無 GIL 模式，看來現在得先針對物件操作密集型的任務進行壓力測試了，否則反倒會造成效能退化。
+ 很有趣，原來無
#電腦科學 #高效能運算 #Python 程式語言 #軟體效能分析
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