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Canal fuente @python_academy · Post #1667 · 10 abr

Важное про цифры и Юникод 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 — неединственные символы, которые считаютсяцифрами. Python следует правилам Юникода и обрабатывает несколькосотенсимволов как цифры. Полный список находится здесь. Это крайне важно знать, потому что эти символы влияют на такие функции, как int, unicode.isdecimal и даже re.match. Думаю, в один момент это знание сэкономит вам время на исправление "бага" с такими странными символами. Предупрежден — значит вооружен. #python#unicode

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Custom Emoji Packs

@CustomEmojiPacks · Post #132 · 22/08/2022, 03:18

Other Apps Emojis: 😊t.me/addemoji/YahooEmoji 😡t.me/addemoji/TikTokEmojisTG 🤗t.me/addemoji/emojioffacebook 😤t.me/addemoji/whatsappmoji 🙂t.me/addemoji/viberemojise 😜t.me/addemoji/WeChatPack 😂t.me/addemoji/SmiliesVKEmoji Tags: #unicode

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Custom Emoji Packs

@CustomEmojiPacks · Post #34 · 13/08/2022, 21:45

Twemoji Packs by @HiEmoji: Copyright 2020 Twitter, Inc and other contributors Graphics licensed under CC-BY 4.0 😀t.me/addemoji/TwemojiSmileys 👋t.me/addemoji/TwemojiHands 🐣t.me/addemoji/TwemojiAnimals 🍊t.me/addemoji/TwemojiFoods ✈️t.me/addemoji/TwemojiTravel ⛅t.me/addemoji/TwemojiTimeWeather ✨t.me/addemoji/TwemojiActivities 🏴t.me/addemoji/TwemojiFlags1 🏁t.me/addemoji/TwemojiFlags2 📔t.me/addemoji/TwemojiObjects1 🧲t.me/addemoji/TwemojiObjects2 ↪️t.me/addemoji/TwemojiSymbols1 🔶t.me/addemoji/TwemojiSymbols2 Tags: #unicode

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djangoproject

@djangoproject · Post #407 · 09/08/2017, 12:14

# Python 3 allows #unicode # variable names: »> π = math.pi »> class Spin̈alTap: pass »> Spin̈alTap() <Spin̈alTap object at 0x10e58d908> # Only letter-like characters # work, however: »> 🍺 = "beer" SyntaxError: "invalid character in identifier"

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Custom Emoji Packs

@CustomEmojiPacks · Post #28 · 13/08/2022, 04:57

Microsoft Fluent Emojis: 🙂t.me/addemoji/FluentEmojiSet1 🐻t.me/addemoji/FluentEmojiSet2 🚀t.me/addemoji/FluentEmojiSet3 🎉t.me/addemoji/FluentEmojiSet4 🤙t.me/addemoji/FluentEmojiSet5 Tags: #animated#unicode

Linuxgram 🐧

@linuxgram · Post #18747 · 11/05/2026, 14:45

📰 Feature freeze for Python 3.15 as first beta released JIT compiler much improved, but no reinstatement for leaky incremental garbage collector. 🔗 Source: https://www.theregister.com/devops/2026/05/11/feature-freeze-for-python-315-as-first-beta-released/5237934 #python

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Linuxgram 🐧

@linuxgram · Post #18631 · 30/04/2026, 15:35

📰 New Python Backdoor Uses Tunneling Service to Steal Browser and Cloud Credentials Cybersecurity researchers have disclosed details of a stealthy Python-based backdoor framework called DEEP#DOOR that comes with capabilities to establish persistent access and harvest a wide range of sensitive information from compromised hosts."The intrusion chain begins with execution of a batch script ('install_obf.bat') that disables Windows security controls, dynamically extracts an. 🔗 Source: https://thehackernews.com/2026/04/new-python-backdoor-uses-tunneling.html #python

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Linuxgram 🐧

@linuxgram · Post #18589 · 27/04/2026, 17:17

📰 PyPI package with 1.1M monthly downloads hacked to push infostealer An attacker pushed a malicious version of the popular elementary-data package Python Package Index (PyPI) to steal sensitive developer data and cryptocurrency wallets. 🔗 Source: https://www.bleepingcomputer.com/news/security/pypi-package-with-11m-monthly-downloads-hacked-to-push-infostealer/ #python

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GitHub Trends

@githubtrending · Post #15623 · 16/04/2026, 12:00

#python DFlash is a lightweight block diffusion model that speeds up large language models like Qwen3.5 and Llama through speculative decoding, generating draft tokens in parallel for over 6x faster inference with no quality loss—up to 2.5x better than top methods. It supports easy integration with vLLM, SGLang, Transformers, or MLX via simple installs and commands, with ready models on Hugging Face. You benefit by running quicker AI generation on your hardware, boosting throughput to ~430 tokens/second and GPU use over 90% for efficient tasks like math or coding. https://github.com/z-lab/dflash

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GitHub Trends

@githubtrending · Post #15606 · 06/04/2026, 12:30

#python PersonaPlex is a real-time speech model for natural, low-latency conversations. Control its voice with audio prompts and role via simple text—like a friendly teacher, customer service rep, or casual chat partner—with natural male/female voices. Install easily, launch a web demo server, and test offline. You benefit by creating personalized AI interactions for apps, role-play, or fun talks, with quick setup and low GPU needs via CPU offload. https://github.com/NVIDIA/personaplex

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