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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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Data Science Jobs

@datasciencejobs · Post #2738 · 27/05/2025, 09:21

🚀Вакансия: Аналитик данных (Middle) 🏢Компания: 'Правильный софт, вендор Альфа-банка' 🌎Локация: 🇷🇺 Россия 🕕Часовой пояс: Москва 💼Формат работы: гибрид 💰Зарплата: '300-350 net' 📊Отрасли: финтех, CRM 🎯Требования: -Имеете высшее техническое образование; -Большой опыт использования ML библиотек на Python; -Имеете уверенные знания теории вероятностей, математической статистики и классического машинного обучения -Присутствует опыт работы с Hadoop стеком - Spark, Hive; -Присутствует опыт работы с mlflow, git, airflow; Имеете хорошие навыки SQL - и обработки данных в pandas; -У вас есть опыт в проведении А/Б тестирования; -Опыт работы с бизнес заказчиком для выявления и понимания его проблем и бизнес целей ✨Пожелания: Желательно иметь опыт DS ✅Рабочие задачи: -Строить новые модели склонности к страховым продуктам в различных каналах и выводить их в прод. -Генерировать новые фичи и проверять их в моделях. -Общаться с бизнесом и помогать решать его проблемы с помощью моделей. 📌Условия: Трудоустройство по ТД -Доход 300 - 350 nett -Дмс -Ученическая премия -Удалёнка/гибрид 📩Контакты: @anna_abrakhimova Не забудьте пожалуйста указать откуда узнали о вакансии. #SQL#Python#Git#CRM#НСИ#Middle#Гибрид#ФинТех#ДМС

GitHub Trends

@githubtrending · Post #15484 · 10/02/2026, 14:30

#python#ai_agents#claude#claude_code#claude_marketplace#claude_skills Claude Skills offers 66 specialized skills and 9 workflows built for full-stack developers, covering languages, frameworks, DevOps, security, and more. Install easily with `/plugin marketplace add jeffallan/claude-skills` then `/plugin install fullstack-dev-skills@jeffallan`. Skills activate automatically for tasks like JWT auth in NestJS or React components, using context engineering and multi-skill combos for complex projects. This boosts your coding speed, ensures best practices, cuts errors, and streamlines full development—from features to deployment—saving hours daily. https://github.com/Jeffallan/claude-skills

Data Science Jobs

@datasciencejobs · Post #1996 · 03/04/2024, 08:03

#DataEngineer#ContractPosition#Remote#SQL#BigData#FinancialData#Python#BigQ#Looker#Snowflake Разыскиваем #DataEngineer на работу по контракту с крупной американской венчурной компанией. Контракт на 6 месяцев с возможностью перезаключения договора. Предпочтительна возможность работать в их часовых поясах, но возможны варианты. Стек технологий: GCP, ETL, Snowflake, BigQ, Python, Looker (нужен full stack) Английский B2 и выше – условие обязательное. Работать за пределами России и Беларуси - условие обязательное. Зарплата $5000 – 6500 NET Для связи: https://t.me/Tary_bird Description of the Data Engineer contract position: Location: Preferably San Francisco Bay Area, or remotely in the Pacific or Central Time zone. Company: A large venture company with assets of over $11 billion and employees in Austin, London, Menlo Park, and San Francisco. What you will be doing: As a data engineer, you will report to the head of data and analytics and help create the entire data structure and infrastructure supporting operations. Responsibilities: Design, create, and maintain the data infrastructure necessary for optimal extraction, transformation, and loading of data from various data sources using SQL, NoSQL, and big data technologies. Develop and implement data collection systems that integrate various sources such as company proprietary data and third-party data sources, etc. Create an automated process for collecting and visualizing user engagement data from CRM/UI. What we are looking for: Qualifications: • Experience of at least 3 years as a data engineer or full stack in the field of data warehousing, data monitoring, and building and maintaining ETL pipelines. • Valid experience with the Google cloud platform (GCP). • Deep experience with data pipeline and workflow management tools (e.g., Airflow). • Solid knowledge and experience with database design, setup, and maintenance. • Proven ability to work in highly dynamic environments with high product velocity. • Strong proficiency in Python. • Strong proficiency in SQL. • Familiarity with data visualization tools (Looker ). • Experience with Snowflake. • Experience with BigQuery. • Strong communication skills, both orally and in writing. • Familiarity with CRM (Affinity, Salesforce), automation tools (Zapier) Bonus points: • Experience in venture capital data operations/working with financial data. • Familiarity with CRM (Affinity, Salesforce), automation tools (Zapier). • Bachelor's or master's degree in computer science, database management, etc.

折腾实验室频道

@TossLabChannel · Post #152 · 15/11/2024, 04:22

#macOS#Docker 🎲 Docker 搭建 macOS Docker容器中的OSX 特点✨ • KVM加速 • 基于网络的查看器 • 自动下载 📱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

GitHub Trends

@githubtrending · Post #15240 · 22/10/2025, 11:30

#python#awesome#awesome_list#lecture_notes#list#mathematics You can access a huge, well-organized collection of free math resources covering all levels and topics, from basic arithmetic to advanced university subjects like algebra, calculus, and topology. It includes online courses, textbooks, lecture notes, videos, tools, and problem-solving sites. This helps you learn math step-by-step, find explanations, practice problems, and explore specialized areas easily. Using these resources can improve your understanding, support self-study, and provide tools for teachers and students to engage with math effectively. Many resources are interactive and free, making math learning accessible and flexible. https://github.com/rossant/awesome-math

BotsGram®

@botsgram_cu · Post #3165 · 25/11/2020, 11:17

@newreleasesiobot Qué puede hacer este bot? Este bot lanza notificaciones de muchas plataformas de programación GitHub, Docker, PyPI, Maven, Gems, NPM, Yarn ... Idioma: Inglés (visto en @BotsGram.cu) #releases, #version, #github, #docker, #maven, #npm, #yarn, #git, #bitbucket, #notifications

折腾实验室频道

@TossLabChannel · Post #148 · 15/11/2024, 00:27

#Cloudflare ☁️开源作者有福啦!免费升级 Cloudflare Pro Cloudflare推出「Project Alexandria」,为开源开发者免费升级 Cloudflare Pro、Business 或 Enterprise 计划,以及增加 Workers、Pages、R2存储等 申请条件是维护一个具有公认开源许可证的开源项目,并仅以非营利方式运作 📱申请地址: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

djangoproject

@djangoproject · Post #193 · 31/10/2016, 12:33

http://deeplearning.net/software/theano/tutorial/index.html#basics In terms of #algorithm availability, you can get plenty of algorithms out of the box with scikit-learn. And if you want to customize every detail of your #models, #Python has #Theano. In addition, Theano is easily configured to run on the #GPU, which gives you a cheap and easy way to get much higher speeds without having to change a single line of code or delve into performance details.

GitHub Trends

@githubtrending · Post #15060 · 15/08/2025, 11:30

#python#alibabacloud#android#android_emulator#aws#azure#cloud#docker#docker_android#emulator#gcp#genymotion#jenkins#kubernetes#mobile_app#mobile_web#novnc#saltstack#selenium#selenium_grid#terraform You can use Docker-Android to run Android emulators inside Docker containers, which helps you develop and test Android apps easily without needing physical devices. It offers many device profiles like Samsung Galaxy and Nexus models, supports viewing the emulator via VNC, sharing logs through a web interface, and controlling the emulator remotely with adb. It works on Ubuntu and can integrate with cloud services like Genymotion. This setup speeds up development, testing, and automation, making your workflow more consistent and efficient while saving resources. You can also persist data and run unit or UI tests with popular frameworks like Appium and Espresso. This helps you build and test Android apps faster and more reliably. https://github.com/budtmo/docker-android

GitHub Trends

@githubtrending · Post #15526 · 27/02/2026, 11:30

#python#ai#ai_agent#ai_infra#kubernetes#sandbox OpenSandbox is a general-purpose sandbox platform that lets you safely run AI applications, code, and agents in isolated environments. It provides multi-language SDKs for Python, Java, and JavaScript, making it easy to integrate into your projects. The platform supports Docker and Kubernetes runtimes, so you can run sandboxes locally or at scale. Key benefits include running code generated by AI models safely, executing data analysis, automating browser tasks, and training AI systems without risking your main system. Whether you're building coding agents, testing applications, or letting AI handle complex tasks, OpenSandbox gives you a secure, controlled space to experiment and execute code without side effects. https://github.com/alibaba/OpenSandbox

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