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Canal fuente @python_academy · Post #1609 · 22 feb

Использование OpenCV для работы с веб-камерой Библиотека OpenCV это инструмент для работы с компьютерным зрением, обработки изображений и видео. Её можно легко установить через pip, используя команду: pip install opencv-python. В качестве примера давайте рассмотрим, как можно захватить изображение с веб-камеры и отобразить его в окне. Для начала, инициализируем веб-камеру с помощью команды cap = cv2.VideoCapture(0), где число обозначает индекс камеры. Далее, с помощью строки ret, frame = cap.read(), мы извлекаем текущее изображение с камеры в переменную frame, а также получаем статус захвата в переменную ret. Если ret == True, это означает, что захват прошёл успешно. Следующим шагом, команда cv2.imshow('webcam', frame) открывает графическое окно с полученным изображением. Для выхода из цикла просмотра и завершения работы скрипта, используется проверка нажатия клавиши 'q': if cv2.waitKey(1) & 0xFF == ord('q'):. Наконец, для освобождения веб-камеры и закрытия всех графических окон, используются команды cap.release() и cv2.destroyAllWindows() соответственно. #python#opencv

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@repo_science · Post #3180 · 12/05/2023, 19:53

#webScraping#Python#Scrapy 🐍 Scrapy course - Python web scraping for beginners The Scrapy #Beginners Course will teach you everything you need to learn to start scraping websites at scale using #Python Scrapy. Topics - Creating your first #Scrapy spider - #Crawling through websites & scraping data from each page - Cleaning data with Items & Item Pipelines - Saving data to CSV files, #MySQL & #Postgres#databases - Using fake #user-agents & headers to avoid getting blocked - Using #proxies to scale up your web scraping without getting banned - Deploying your #scraper to the cloud & scheduling it to run periodically 🗣️ Joe Kearney. 🔗Link 📢#youtube ⭐️ Resources ⭐️ Course Resources - Scrapy Docs - Course Guide - Course Github - The Python Scrapy Playbook ----- Main channel: @repo_science Coupons: @freecoupons_reposcience -----

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@githubtrending · Post #14761 · 29/05/2025, 13:00

#python#api#async#asyncio#fastapi#framework#json#json_schema#openapi#openapi3#pydantic#python#python_types#python3#redoc#rest#starlette#swagger#swagger_ui#uvicorn#web FastAPI is a modern Python web framework for building fast, reliable APIs that is easy to learn and quick to code, making it ready for production use right away. It uses standard Python type hints, which means you get automatic data validation, fewer bugs, and great editor support with code completion and type checks. FastAPI also generates interactive documentation automatically, so you and your team can understand and test your API easily. The main benefit is that you can develop robust, high-performance APIs much faster and with less effort, while reducing errors and making your code easier to maintain[1][2][3]. https://github.com/fastapi/fastapi

GitHub Trends

@githubtrending · Post #14791 · 05/06/2025, 12:30

#python#ai#ai_agents#ai_memory#cognitive_architecture#cognitive_memory#contributions_welcome#good_first_issue#good_first_pr#graph_database#graph_rag#graphrag#help_wanted#knowledge#knowledge_graph#neo4j#open_source#openai#rag#vector_database Cognee is an open-source AI memory engine that helps improve how AI systems understand and process data. It mimics human cognitive processes, creating "memories" from various data types like text and images. This enhances the accuracy of large language models (LLMs) and allows them to recall past interactions and documents. Cognee is scalable, cost-effective, and integrates easily with existing systems, making it a valuable tool for developers seeking to boost AI performance without relying on expensive APIs. https://github.com/topoteretes/cognee

GitHub Trends

@githubtrending · Post #15306 · 04/12/2025, 20:30

#python#agents#ai_agents#anthropic#anthropic_claude#automation#claude#claude_code#claude_code_cli#claude_code_commands#claude_code_plugin#claude_code_plugins#claude_code_subagents#claude_skills#claudecode#claudecode_config#claudecode_subagents#orchestration#sub_agents#subagents#workflows Claude Code Plugins provide a comprehensive system of 63 focused plugins containing 85 specialized agents, 47 skills, and 44 development tools organized for intelligent automation across software development. You install only what you need, keeping token usage minimal while accessing domain experts in architecture, languages, infrastructure, quality, and operations. Each plugin loads independently with its own agents and commands, letting you compose multiple plugins for complex workflows. This granular design means faster, cleaner sessions with progressive disclosure—knowledge loads only when activated. The benefit is significant productivity gains: you get expert-level assistance tailored to your specific task without unnecessary overhead, enabling your entire team to work more efficiently on development, infrastructure, security, and automation challenges. https://github.com/wshobson/agents

GitHub Trends

@githubtrending · Post #15534 · 01/03/2026, 12:00

#python#agent_skills#ai_scientist#bioinformatics#chemoinformatics#claude#claude_skills#claudecode#clinical_research#computational_biology#data_analysis#drug_discovery#genomics#materials_science#metabolomics#proteomics#scientific_computing#scientific_visualization Claude Scientific Skills offers 148+ ready-to-use tools for AI agents like Cursor or Claude Code, covering biology, chemistry, drug discovery, clinical research, ML, and 250+ databases (PubMed, ChEMBL, etc.). Easy setup: clone the GitHub repo and copy folders to your skills directory for automatic use in complex workflows like single-cell analysis or virtual screening. You save days on setup, get reliable code, and run multi-step science faster on your desktop. https://github.com/K-Dense-AI/claude-scientific-skills

GitHub Trends

@githubtrending · Post #15520 · 24/02/2026, 14:30

#python#ai#ai_scraping#automation#crawler#crawling#crawling_python#data#data_extraction#mcp#mcp_server#playwright#python#scraping#selectors#stealth#web_scraper#web_scraping#web_scraping_python#webscraping#xpath Scrapling is a fast Python web scraping tool that fetches pages, bypasses anti-bot blocks like Cloudflare, and adapts to site changes by auto-finding elements. Use simple CSS/XPath selectors, spiders for big crawls with pause/resume, proxy rotation, and CLI—no code needed sometimes. Install via pip; it's memory-light and beats others in speed. You save time fixing broken scrapers, scrape reliably at scale, cut costs with AI tools, and focus on using data for leads, prices, or research. https://github.com/D4Vinci/Scrapling

GitHub Trends

@githubtrending · Post #15225 · 15/10/2025, 13:00

#mdx#bilateral_teleoperation#force_feedback#genesis#gravity_compensation#humanoid_robot#imitation_learning#machine_learning#moveit2#mujoco#open_source#openarm#python#reinforcement_learning#robot#robot_arm#robotics#ros2#teleoperation OpenArm is a special robot arm that helps with physical AI research. It has 7 degrees of freedom, which means it can move like a human arm. This makes it good for tasks that involve touching or moving things safely around people. The robot is open-source, meaning anyone can build, modify, and use it. This is helpful because it makes advanced robotics available to more people, like researchers and students, without costing too much. A complete system with two arms costs about $6,500, which is much cheaper than similar robots. https://github.com/enactic/openarm

GitHub Trends

@githubtrending · Post #15075 · 19/08/2025, 12:30

#python#cybersecurity#fyp#hacking#hacking_tool#indonesia#information#information_gathering#ip_geolocation#linux#osint#osint_python#osint_tool#pentesting#phone_number#python#python_hacking#termux#termux_hacks#termux_tool GhostTrack is a simple tool you can install on Linux or Termux to track locations, phone numbers, or social media usernames using open-source intelligence (OSINT). It offers menus for IP tracking (which can be combined with another tool called Seeker), phone number tracking, and username tracking on social media. This helps you gather information about a target’s location or identity easily. The benefit is that you can quickly find useful data for security, investigation, or personal knowledge without needing advanced skills, all through a straightforward Python-based program created by HunxByts. https://github.com/HunxByts/GhostTrack

GitHub Trends

@githubtrending · Post #14804 · 07/06/2025, 13:30

#jupyter_notebook#android#asr#deep_learning#deep_neural_networks#deepspeech#google_speech_to_text#ios#kaldi#offline#privacy#python#raspberry_pi#speaker_identification#speaker_verification#speech_recognition#speech_to_text#speech_to_text_android#stt#voice_recognition#vosk Vosk is a powerful tool for recognizing speech without needing the internet. It supports over 20 languages and dialects, making it useful for many different users. Vosk is small and efficient, allowing it to work on small devices like smartphones and Raspberry Pi. It can be used for things like chatbots, smart home devices, and creating subtitles for videos. This means users can have private and fast speech recognition anywhere, which is especially helpful when internet access is limited. https://github.com/alphacep/vosk-api

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 #15583 · 24/03/2026, 12:00

#python#ai_prompts#ai_skill#bluesky#claude#claude_code#clawhub#deep_research#hackernews#instagram#openclaw#polymarket#recency#reddit#research#social_media#tiktok#trends#twitter#web_search#youtube /last30days is a Claude Code skill that scans Reddit, X, Bluesky, YouTube, TikTok, Instagram, Hacker News, Polymarket, and web for your topic's top discussions, upvotes, bets, and videos from the last 30 days, then synthesizes a cited briefing with ready-to-use prompts. New v2.9.5 adds Bluesky, "X vs Y" comparisons, and auto-saves to build your research library. Install easily via `/plugin install last30days@last30days-skill`. You stay ahead on AI trends, tools, and techniques with real community insights in minutes, skipping hours of manual searching. https://github.com/mvanhorn/last30days-skill

GitHub Trends

@githubtrending · Post #15298 · 12/11/2025, 14:30

#python#android#android_emulator#google_apps#kernelsu#magisk#magiskonwsa#magiskonwsalocal#subsystem#windows#windows_10#windows_11#windows_subsystem_android#windows_subsystem_for_android#windows10#windowssubsystemforandroid#wsa#wsa_root#wsa_with_gapps_and_magisk#wsapatch Windows Subsystem for Android (WSA) support ended on March 5, 2025, and the Amazon Appstore was removed from the Microsoft Store, but you can still manually install and use WSA on Windows 10 or 11 via unofficial builds like WSABuilds from GitHub. These builds include options with Google Play Services and root access (Magisk). If you face issues with apps crashing or not starting after recent Windows updates, try using older or "NoGApps" builds as workarounds. Backing up your data before uninstalling or updating WSA is recommended. This lets you keep running Android apps on Windows despite official support ending. https://github.com/MustardChef/WSABuilds

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