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Canal fuente @python_academy · Post #2274 · 26 nov

Работа с YAML-Файлами в Python с Помощью Библиотеки PyYAML PyYAML позволяет эффективно работать с файлами в формате YAML (YAML Ain't Markup Language), который широко используется для конфигураций, настроек и обмена данными в структурированной форме. import yaml data_to_write = {'name': 'John Doe', 'age': 30, 'city': 'Example City'} with open('example.yaml', 'w') as file: yaml.dump(data_to_write, file, default_flow_style=False) with open('example.yaml', 'r') as file: loaded_data = yaml.safe_load(file) print(f"Загруженные данные: {loaded_data}") Результат (файл example.yaml): age: 30 city: Example City name: John Doe В этом примере мы используем PyYAML для записи словаря data_to_write в файл example.yaml и затем загружаем данные из этого файла обратно в переменную loaded_data. Библиотека PyYAML предоставляет удобные средства для работы с данными в формате YAML в Python. Будь то сохранение конфигураций, обмен структурированными данными или другие сценарии, где YAML имеет преимущество, PyYAML обеспечивает легкость в использовании и читаемый код🐍 #python#yaml#pyyaml

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@githubtrending · Post #15325 · 10/12/2025, 12:00

#python#agent#llm#rag#tutorial You can learn to build smart AI agents from scratch with a free, open-source tutorial called Hello-Agents by Datawhale. It covers everything from basic concepts and history to hands-on projects like creating your own AI agent framework and multi-agent systems. The course includes practical skills such as memory, context handling, communication protocols, and training large language models. By following it, you gain deep understanding and real coding experience, moving from just using AI models to designing intelligent systems yourself. This helps you develop advanced AI skills useful for jobs, research, or building innovative AI applications. The materials are online and easy to access anytime. https://github.com/datawhalechina/hello-agents

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@FLMdongtianfudi · Post #14645 · 05/10/2025, 12:28

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@TossLabChannel · Post #922 · 15/12/2025, 01:28

#Unicom#Qinglong#Python#联通#青龙#获取token 😀联通自动登录与Token获取脚本 👤脚本作者信息 • 原作者:Brian (Yaohuo ID: 10103) • 功能描述:通过账号密码登录,自动输出并生成 ecs_token、token_online 和 appid 变量。 ⠀ 📦环境依赖准备 在使用脚本前,请确保在青龙面板的「依赖管理」->「Python3」中安装了以下依赖: • pycryptodome • RSA • PyExecJS • requests ⠀ 📝账号变量配置 在「环境变量」中添加账号密码,支持以下两种变量名(二选一即可): • 多账号变量:UNICOM_ACCOUNTS_OLD 格式:手机号1#密码1@手机号2#密码2 • 单账号变量:UNICOM_ACCOUNTS_PWD 格式:手机号#密码 ⠀ 🚀自动化运行说明 配置完成后直接运行脚本,无需手动抓包。脚本执行成功后,会自动在青龙环境变量中生成以下变量供后续任务调用: • UNICOM_ACCOUNTS_ECS (包含 ecs_token) • UNICOM_ACCOUNTS_APPID (包含 token_online 和 appid) • 文件PY格式,后缀去掉html ⠀ 🔘@TossLab🔘@TossLabChannel

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@repo_science · Post #3832 · 31/12/2023, 21:38

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@repo_science · Post #3820 · 26/12/2023, 20:51

#python#plot 🎻 Violin Plot using Python Violin plot (violin plot) allows you to visualize the distribution of a numerical variable across one or more groups. Each "violin" represents a group or variable ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----

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@repo_science · Post #3810 · 20/12/2023, 16:05

#Python#DS 🐍 Python for Data Science and Machine Learning Bootcamp Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more! 🗣 Jose Portilla ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----

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@repo_science · Post #3802 · 17/12/2023, 22:43

#Python#temporalSeries 📊 Curso de series temporales multivariate con Python ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----

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@repo_science · Post #3787 · 08/12/2023, 15:01

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@repo_science · Post #3744 · 20/11/2023, 01:54

🐍 Use the #Pillow package in Python to change the brightness of your images in #Python! ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----

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@repo_science · Post #3643 · 09/10/2023, 12:15

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@repo_science · Post #3234 · 27/05/2023, 18:47

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