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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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1,206 posts similares encontrados

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The Devs

@thedevs · Post #1190 · 06/08/2018, 16:45

Pyxel, a retro game development environment in Python. #tools#game#python @thedevs https://kutt.it/vUDMzQ

The Devs

@thedevs · Post #1585 · 01/10/2019, 17:08

mitmproxy, a swiss-army knife for debugging, testing, privacy measurements, and penetration testing. #tools#coding#security#python @thedevs https://kutt.it/iJs5WX

djangoproject

@djangoproject · Post #454 · 03/10/2017, 15:43

https://engineering.instagram.com/web-service-efficiency-at-instagram-with-python-4976d078e366 Web Service Efficiency at Instagram with Python #Instagram currently features the world’s largest deployment of the #Django web framework, which is written entirely in #Python. We initially chose to use Python because of its reputation for simplicity and practicality, which aligns well with our philosophy of “do the simple thing first.” But simplicity can come with a tradeoff: efficiency...

VPS自留地

@zx_vps · Post #2327 · 20/02/2026, 07:12

白虎面板: 轻量级低资源的定时任务管理系统 • 基于 Go 与 Vue3,Docker 或 Docker‑Compose 一键部署,无需复杂配置 • 内置 Python、Nodejs、Bash 环境,在线终端实时交互,脚本管理更便捷 • 支持标准 Cron 表达式调度,CPU 占用低于 20%,适配低配服务器 https://github.com/engigu/baihu-panel #白虎面板#定时任务#Docker#Go#Vue3#轻量级#低资源#Cron#Python#Nodejs#Linux

ALL About RSS

@AboutRss · Post #955 · 04/02/2021, 01:00

「使用 #Docker 部署 #FreshRSS 自建专属 RSS 服务」 曾经为 TTRSS 和 RSSHub 写过教程的博主 ChrAlpha 再次带来新的 #教程 : https://blog.ichr.me/post/docker-freshrss-setup/ 发现于其推文: https://twitter.com/ichralpha/status/1356831572335357953

Repositorio data science

@repo_science · Post #3533 · 23/08/2023, 16:42

#python#book#DataScience 📚 Encyclopedia of Data Science and Machine Learning Description Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. 📆2023 ⚖️155 MB 🔗Link ----- Main channel:@repo_science Coupons: @freecoupons_reposcience -----

Repositorio data science

@repo_science · Post #3268 · 06/06/2023, 00:41

#python#algorithms 🐍 Algorithmic Thinking with Python: Foundations Learn how to develop your algorithmic thinking skills to become a better problem solver. 🗣Robin Andrews 📆2022-04-26 ⌚️1h 11m 🔗Link ----- Main channel:@repo_science Coupons: @freecoupons_reposcience -----

Analytics and growth mindset ️

@thinkbroadly · Post #9 · 20/05/2024, 09:18

🔥 20 Step-by-Step Data Analysis Projects with Python Code Below are popular data analysis projects from Kaggle, Github, and Medium users. They will: - Help you gain skills in working with real data - Introduce you to Python libraries for data analysis - Inspire you for your own data analysis projects #data_analyst#data_analysis#data_projects ☕Coffee Shop Sales Analysis ⚽ FIFA World Cup Data Analysis ⚡️ADIDAS Sales Analysis 📱Netflix Data Analysis (1) ⚡️ Zomato Data Analysis 🍫 Product Sales Analysis 🚕 Uber Rides Data Analysis 👀Smartwatch Data Analysis 🤑Financial Budget Analysis 📱Netflix Data Analysis (2) 🎮 Video Game Sales Analysis 🤓 Is There a Trend of Increasing Geek Girls? 🏆 Let's Discover More About the Olympic Games! 📉Marketing Analysis 🐶Animal Shelter Data Analysis 📱 Amazon Data Analysis 💲Billionaire Data Analysis 📱 Credit Card Data Analysis 😏Pokemon Data Analysis 📱Spotify Data Analysis. What Does It Take to Hit the Charts #DataAnalyst#DataAnalytics#DataAnalysis#data_analyst#python If you find this content useful, give it a🔥!

GitHub Trends

@githubtrending · Post #15386 · 03/01/2026, 11:30

#python#beancount Beancount is free, open-source double-entry accounting software that uses simple text files to track finances, create reports, and view data via a web interface. Download the current stable Version 3 from GitHub, check docs at beancount.github.io/docs, and ask questions on the mailing list. This helps you manage money flexibly with version control, automation, privacy, and no vendor lock-in, saving time on tracking expenses, assets, and budgets accurately. https://github.com/beancount/beancount

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