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Canal fuente @python_academy · Post #2269 · 21 nov

Управление Docker контейнерами с помощью docker-py docker-py – это официальная библиотека Python для Docker, предоставляющая API для взаимодействия с Docker Daemon. С её помощью можно автоматизировать процессы создания, запуска, остановки и удаления контейнеров, работы с образами, сетями и томами Docker. import docker # Создание клиента client = docker.from_env() # Запуск контейнера container = client.containers.run("ubuntu:latest", "echo Hello, docker-py!", detach=True) # Получение логов контейнера print(container.logs().decode()) # Остановка и удаление контейнера container.stop() container.remove() В данном примере мы создаем клиента Docker, используя переменные окружения текущей сессии. Затем мы запускаем контейнер из образа ubuntu:latest, выполняем в нем команду echo, выводим логи работы контейнера и в конце останавливаем и удаляем контейнер. Управление образами с помощью docker-py: # Получение списка всех образов images = client.images.list() # Вывод информации о каждом образе for image in images: print(f'ID: {image.id}, Теги: {image.tags}') Для дальнейшего изучения и ознакомления с более продвинутыми возможностями рекомендуется обратиться к официальной документации. #python#docker#dockerpy

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djangoproject

@djangoproject · Post #130 · 31/08/2016, 15:39

http://matplotlib.org/ #matplotlib is a python #2D#plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in #python scripts, the python and #ipython shell (ala MATLAB®* or Mathematica®†), web application servers, and six #graphical user interface toolkits. screenshots

折腾实验室频道

@TossLabChannel · Post #185 · 19/11/2024, 01:26

#Github#QQ#说说 获取QQ发布的历史说说 该项目通过获取QQ空间的历史消息列表来获取该账号下发布的所有说说(当然消息列表中没有的就获取不到,例如一些仅自己可见的说说) 主要实现还是通过模拟登录QQ空间来获取历史消息列表,然后进行数据分析,最后将爬取的说说存放到/resource/result目录下 📱项目地址:点击链接 ❤️不想错过每个我精心推荐内容,请打开 #频道通知,你的 #阅读#点赞#转发 便是我发帖的最大动力! 📢 群聊: @TossQL 🎈 频道: @TossQLChannel 本频道主要折腾分享 #青龙面板, #签到任务, #Docker, #VPS服务器, #github有趣项目

Data Science Jobs

@datasciencejobs · Post #3075 · 17/12/2025, 15:00

#вакансия#mlops#engineer#llm#vllm#hugginface#rag#embeddings#k8s#docker#deckhouse#Langfuse#LlamaIndex#remote Вакансия: MLOps-инженер Компания: АО СимбирСофт Формат работы: удалёнка Занятость: полная занятость Ищем MLOps инженера в РФ 👨‍💻 🚀 Нам нужен инженер, готовый развивать инфраструктуру LLM-платформы. Твоими задачами станут поддержка и развитие сервисов для больших языковых моделей, интеграция инструментов, настройка мониторингов и обеспечение безопасности данных. 🔍 Опыт работы с: - Большими языковыми моделями (vLLM, TGI, Hugging Face) - Python (FastAPI, скрипты, CLI) - Архитектурой RAG и embedding-моделями - Prometheus/Grafana - Система аутентификации (Keycloak, JWT) - Kubernetes, Docker, CI/CD 💡 Будут полезны знания: - Deckhouse или других дистрибутивов Kubernetes - Langfuse, LlamaIndex, PostgreSQL Vector, Chroma - Принципов MLOps и интеграции сторонних API ✅Условия: - Удаленный формат работы. - Гибкое начало рабочего дня. - Широкий технологический стек, сотни проектов. Можно разрабатывать IT-решения для разных отраслей, пробовать новые технологии. - Помогаем прокачаться во всех интересующих направлениях: стать тимлидом, архитектором, разработчиком. - Имеем развитую систему наставничества, проходим сертификацию за счет компании, участвуем в конференциях. Активно обмениваемся опытом, проводим внутренние и внешние митапы, прокачиваем hard и soft skills. Присоединяйся к нам!✨ Если заинтересовала вакансия, буду рада обсудить в тг: https://t.me/gulnara_s28 ʕ ᵔᴥᵔ ʔ

GitHub Trends

@githubtrending · Post #15387 · 04/01/2026, 11:30

#python#crawler#feapder#feaplat#python#scrapy#spider Feapder is a simple, powerful Python web scraping framework (Python 3.6+) with four spider types for different needs, plus breakpoint resuming, monitoring alerts, browser rendering, and massive data deduplication. Install easily via pip (basic, render, or full versions), create a spider with one command, and run it to fetch/parse sites like Baidu. A management system handles deployment/scheduling. This saves you time by making scraping fast, reliable, and scalable without building everything from scratch. https://github.com/Boris-code/feapder

折腾实验室频道

@TossLabChannel · Post #172 · 18/11/2024, 00:27

#鸿蒙#Harmony#Github Auto installer(小白鸿蒙开源自助餐)是一款在 Harmony Next 安装任意hap应用的工具。 只需要在工具上登录Huawei账号,设备上开启开发者设置,即可通过有线的方式安装任意hap文件。 现在其实已经有mihomo for Harmony Next了,自己找包,很酷,不提供。 📱项目地址:点击链接 ❤️不想错过每个我精心推荐内容,请打开 #频道通知,你的 #阅读#点赞#转发 便是我发帖的最大动力! 📢 群聊: @TossQL 🎈 频道: @TossQLChannel 本频道主要折腾分享 #青龙面板, #签到任务, #Docker, #VPS服务器, #github有趣项目

折腾实验室频道

@TossLabChannel · Post #124 · 11/11/2024, 11:29

#Mac#Windows#Linux#任天堂 Ryujinx-开源任天堂Nintendo Switch模拟器 Ryujinx 是一款基于 C# 开发的开源 Nintendo Switch 模拟器,能够在 PC 上模拟运行 Switch 游戏。 该项目由 gdkchan 发起,自 2017 年 9 月起开发,使用 .NET Core 和 .NET Standard 技术,支持 Windows、Linux 和 macOS 跨平台运行。 Ryujinx 以高精度和性能为目标,提供简洁易用的界面,并支持众多游戏。截至 2024 年 5 月,已有约 4,300 款游戏在该模拟器上测试,其中超过 3,550 款被评为可玩。使用 Ryujinx 需要至少 8GiB RAM,否则可能会影响游戏体验。 📱项目地址:点击链接 📢#折腾群聊: @TossQL 🎈#青龙频道: @TossQLChannel 本频道主要折腾分享 #青龙面板, #签到任务, #Docker, #VPS服务器, #github有趣项目

GitHub Trends

@githubtrending · Post #15312 · 06/12/2025, 12:00

#go#containers#deployment#devops#docker#docker_compose#golang#hacktoberfest#kubernetes#orchestration#self_hosted Uncloud lets you run and manage web apps across multiple servers (cloud, home, or bare metal) as easily as using Docker Compose, but with production features like zero-downtime updates, automatic HTTPS, and cross-machine scaling. It connects your machines into a secure, private network without needing a central control server, so there’s less to manage and no single point of failure. You keep full control of your infrastructure and data, avoid vendor lock-in, and get a simple, cloud-like experience without the complexity of Kubernetes. https://github.com/psviderski/uncloud

GitHub Trends

@githubtrending · Post #15042 · 09/08/2025, 12:00

#python#assistant#learning#note_taking#notebook#notes_app#self_learning Open Notebook is a free, open-source tool that helps you organize and control your research privately without relying on big companies like Google. It supports many AI providers, lets you manage different content types like PDFs and videos, and even create professional multi-speaker podcasts. You can search your notes smartly, chat with AI using your own research as context, and customize everything to fit your needs. It runs on your own computer or cloud, so you keep full control of your data and costs. This means you get a powerful, flexible, and private research assistant tailored to you. https://github.com/lfnovo/open-notebook

GitHub Trends

@githubtrending · Post #14825 · 12/06/2025, 12:30

#python#evaluation_framework#evaluation_metrics#llm_evaluation#llm_evaluation_framework#llm_evaluation_metrics DeepEval is an open-source tool that makes it easy to test and improve large language model (LLM) applications, much like how Pytest works for regular software, but focused on LLM outputs. It offers over 30 ready-to-use metrics—such as answer relevancy, faithfulness, and hallucination—to check if your LLM is accurate, safe, and reliable. You can test your whole application or just parts of it, and even generate synthetic data for better testing. DeepEval works locally or in the cloud, letting you compare results, share reports, and keep improving your models. This helps you build better, safer, and more trustworthy LLM apps with less effort[1][2][3]. https://github.com/confident-ai/deepeval

GitHub Trends

@githubtrending · Post #15178 · 28/09/2025, 11:30

#python#gregtech#minecraft#modpack#quests#thaumcraft GT New Horizons is a very large and challenging Minecraft modpack focused on GregTech, offering a deep, progressive experience starting from the Stone Age and advancing through technology tiers like steam and electricity, eventually exploring other planets and dimensions. It includes over 3000 quests that guide you through complex tech, magic, and exploration, making the game feel like one connected adventure rather than separate mods. The pack features realistic world generation, tough survival conditions, and a mix of technology and magic mods, providing a long-lasting, rewarding gameplay for players who enjoy expert-level challenges and detailed crafting systems[1][2][3]. This benefits you by offering a rich, immersive Minecraft experience that grows with your skills and keeps you engaged for a long time. https://github.com/GTNewHorizons/GT-New-Horizons-Modpack

折腾实验室频道

@TossLabChannel · Post #187 · 19/11/2024, 01:44

#Github#照片#文字后嵌入#AI Text Behind Image:文字后嵌入 轻松生成海报级别的图片,开源的在线图像处理工具,只需上传图片,然后通过AI处理添加文字,就能快速将文字置入主体后方 Text Behind Image是一个开源的在线图像处理工具,用户只需上传图片,然后通过AI处理添加文字,就能快速生成高质量的海报设计。相比使用Photoshop,这个工具能节省大量时间,非常适合需要快速设计的人 📱 项目地址: 点击链接 😀 网站地址: 点击链接 ❤️不想错过每个我精心推荐内容,请打开 #频道通知,你的 #阅读#点赞#转发 便是我发帖的最大动力! 📢 群聊: @TossQL 🎈 频道: @TossQLChannel 本频道主要折腾分享 #青龙面板, #签到任务, #Docker, #VPS服务器, #github有趣项目

GitHub Trends

@githubtrending · Post #15123 · 06/09/2025, 11:30

#rust#artificial_intelligence#big_data#data_engineering#distributed_computing#machine_learning#multimodal#python#rust Daft is a powerful, easy-to-use data engine that lets you process large-scale data using Python or SQL with high speed and efficiency. It supports complex data types like images and tensors, works well interactively for quick data exploration, and can scale to huge cloud clusters using Ray. Daft integrates smoothly with cloud storage and data catalogs, making it ideal for data engineering, analytics, and machine learning workflows. By using Daft, you can handle big, multimodal datasets faster and more flexibly, improving your ability to analyze and prepare data for AI models without complex setup or slowdowns. https://github.com/Eventual-Inc/Daft

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