TGTGInsightinteligencia telegramLIVE / telegram public index
← Python Academy

TGINSIGHT SIMILAR POSTS

Buscar contenido similar

Canal fuente @python_academy · Post #1526 · 16 nov

Управление операционной системой с помощью модуля os в Python Сегодня давайте поговорим о инструменте для взаимодействия с операционной системой - модуле os. Этот модуль предоставляет широкий спектр функций, позволяющих выполнять операции с файлами, директориями, переменными окружения и многими другими аспектами операционной системы. Что такое модуль os? Модуль os в Python предоставляет множество функций для работы с операционной системой, делая их доступными для Python-разработчиков. Он позволяет выполнять различные операции, такие как чтение и запись файлов, управление процессами, работа с директориями и многое другое. Преимущества использования модуля os: - Кросс-платформенность: Модуль os предоставляет абстракцию для операций, специфичных для операционной системы, что обеспечивает кросс-платформенную совместимость. - Работа с файлами и директориями: Вы можете легко выполнять операции чтения, записи, удаления файлов, а также управлять структурой директорий. - Управление процессами: Модуль os позволяет вам взаимодействовать с процессами операционной системы, запускать новые процессы и многое другое. - Переменные окружения: Вы можете управлять переменными окружения вашего приложения, что полезно при конфигурировании и настройке. Как использовать модуль os? Для начала работы с модулем os, вам необходимо просто импортировать его: import os Затем вы можете использовать различные функции модуля os в зависимости от ваших потребностей. Например, для получения текущей директории: current_directory = os.getcwd() print("Текущая директория:", current_directory) Модуль os предоставляет множество других функций, таких как os.listdir(), os.mkdir(), os.remove() и многие другие, для выполнения различных операций. #python#os

Hashtags

Resultados

1,026 posts similares encontrados

Búsqueda global general

GitHub Trends

@githubtrending · Post #14914 · 05/07/2025, 11:30

#python#information_gathering#instagram#instagram_scraper#open_source_intelligence#osint#osint_tools#python Toutatis is a tool that helps you get information from Instagram accounts. It can find details like emails, phone numbers, and more. To use it, you need Python 3 and an Instagram session ID. You can install it using PyPI or GitHub. Once installed, you can use it to find information by username or Instagram ID. This tool is useful for professionals who need to gather data from Instagram accounts quickly and easily. https://github.com/megadose/toutatis

GitHub Trends

@githubtrending · Post #14897 · 02/07/2025, 13:00

#python#ernie#ernie_45#ernie_45_vl#erniekit#llm#vlm ERNIE 4.5 is a powerful AI model family that understands and generates text, images, and videos together, thanks to its special design that shares knowledge across these types without losing quality. It includes large models with billions of parameters and smaller efficient ones, all trained using the PaddlePaddle framework for fast and effective use. ERNIE 4.5 excels in tasks like language understanding, visual reasoning, and following instructions, often outperforming other top models. It also offers tools for easy training and deployment on various hardware. This means you can use ERNIE 4.5 for advanced AI applications involving text and visuals with high accuracy and efficiency, supported by open-source resources for customization and development[1][3][5]. https://github.com/PaddlePaddle/ERNIE

GitHub Trends

@githubtrending · Post #14865 · 25/06/2025, 12:00

#python#data_mining#data_science#deep_learning#deep_reinforcement_learning#genetic_algorithm#machine_learning#machine_learning_from_scratch This project offers Python code for many basic machine learning models and algorithms built from scratch, focusing on clear, understandable implementations rather than speed or optimization. You can learn how these algorithms work inside by running examples like polynomial regression, convolutional neural networks, clustering, and genetic algorithms. This hands-on approach helps you deeply understand machine learning concepts and build your own custom models. Using Python makes it easier because of its simple, readable code and flexibility, letting you quickly test and modify algorithms. This can improve your skills and confidence in machine learning development. https://github.com/eriklindernoren/ML-From-Scratch

GitHub Trends

@githubtrending · Post #14887 · 30/06/2025, 12:00

#python#gemini#gemini_api#googlesearch#imagen_3#load_balancer#openai_api Gemini Balance is a Python-based tool that acts as a proxy and load balancer for the Google Gemini API, letting you manage multiple API keys efficiently by rotating them automatically to improve availability and concurrency. It supports both Gemini and OpenAI API formats, enabling chat, image generation, image editing, and web search features. You can monitor key status in real-time, configure settings visually without restarting, and use proxies for special network needs. It also supports Docker deployment for easy setup. This helps you reliably use Gemini API services with better performance, flexibility, and monitoring, saving you time and effort in managing API keys and requests. https://github.com/snailyp/gemini-balance

GitHub Trends

@githubtrending · Post #14706 · 14/05/2025, 14:30

#python#agents#knowledge_graph#llm#llm_agent#rag#search#search_agent#vector_database Airweave is a tool that helps make information from apps and databases easily accessible to AI agents. It connects over 100 data sources with minimal coding, allowing for fast data synchronization and semantic search. This means you can quickly turn app data into useful knowledge for AI agents, making them smarter and more efficient. It's especially helpful for tasks like customer support or generating reports, as it ensures AI agents have the most accurate and up-to-date information. https://github.com/airweave-ai/airweave

Libreware

@libreware · Post #1574 · 07/04/2026, 12:21

SharedTrace #Python tool for getting additional info by shared link (usernames, avatars, IDs etc). Support TikTok, Instagram, Discord, ChatGPT, Perplexity and other platforms. https://github.com/hondling/sharetrace @cybdetective #socmint#tracking#trackers#stalking#surveillance#why

GitHub Trends

@githubtrending · Post #14741 · 23/05/2025, 13:00

#python#agentic_ai#agents#ai#autonomous_agents#deepseek_r1#llm#llm_agents#voice_assistant AgenticSeek is a free, fully local AI assistant that runs entirely on your own computer, ensuring your data stays private with no cloud or API use. It can autonomously browse the web, write and debug code in many languages, plan and execute complex tasks, and even respond to voice commands. It smartly chooses the best AI agent for each task, making it like having a personal team of experts. This local setup avoids monthly fees and protects your privacy while giving you powerful AI help for coding, research, and task management all on your device[1][2]. https://github.com/Fosowl/agenticSeek

GitHub Trends

@githubtrending · Post #14727 · 20/05/2025, 12:30

#javascript#cloud#cloud_os#cloud_storage#desktop#desktop_environment#dropbox#good_first_issue#gui#javascript#nas#open_source#operating_system#os#osjs#puter#remote_desktop#storage#web_desktop#web_os#webtop Puter is a privacy-first personal cloud that lets you store files, apps, and games securely. You can access everything from anywhere at any time, making it very convenient. It's like a personal computer in the cloud, and you can use it on any device—Windows, Mac, Linux, or even your smartphone. Puter also helps you organize your work and entertainment by allowing multiple virtual desktops. This means you can keep different tasks separate but easily accessible, which helps you work more efficiently. Plus, it's open-source, so you can customize it to fit your needs. https://github.com/HeyPuter/puter

Repositorio data science

@repo_science · Post #3235 · 27/05/2023, 23:32

#desarrolloWeb#Django#angular#postresql#python 🌐 Curso: Django, Postgres y Angular | Integracion Fullstack Construye Apps profesionales con python, angular, postgres, django. Despliega tu Aplicacion Django Rest en Heroku 🔗Link ----- Main channel:@repo_science Coupons:@freecoupons_reposcience -----

Repositorio data science

@repo_science · Post #3250 · 31/05/2023, 11:52

#python#flask#django#html#css#bootstrap 🐍 Python Web Dev Pro: Flask, Django, HTML, CSS & Bootstrap Elevate Your Web Development Skills: Master Back-End & Front-End Technologies with Python, Flask, Django, and Responsive 🔗Link ----- Main channel:@repo_science Coupons: @freecoupons_reposcience -----

GitHub Trends

@githubtrending · Post #14786 · 04/06/2025, 12:00

#python#crawler#crawling#framework#hacktoberfest#python#scraping#web_scraping#web_scraping_python Scrapy is a powerful tool for extracting data from websites. It works on many platforms and requires Python 3.9 or higher. Scrapy is free, stable, and can handle complex tasks efficiently. It allows you to manage multiple requests at once, making it fast and efficient for large-scale data extraction. Scrapy also supports various formats for storing data and has features like auto-throttling to prevent overwhelming websites. This makes it a great choice for users who need to collect data from many websites quickly and reliably. https://github.com/scrapy/scrapy

12•••5•••10•••15•••20•••25•••30•••35•••40•••45•••50•••55•••60•••65•••707172737475•••80•••8586