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Source channel @githubtrending · Post #15063 · Aug 15

#python#agents#ai#ai_ux#autogen#browser_use#computer_use_agent#cua#ui Magentic-UI is a tool that helps you automate complex web tasks by working together with you. It lets you plan step-by-step actions, watch the progress, and approve sensitive steps to keep control and safety. You can interact with it through a browser, upload files, and even run multiple tasks at once. It learns from past tasks to improve future automation. This means you save time on repetitive or complicated web activities while staying in control, making your work easier and more efficient. It supports Python 3.10+ and works best with Docker or WSL2 on Windows. https://github.com/microsoft/magentic-ui

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Interesting Planet 🌍

@interesting_planet_facts · Post #1053 · 11/19/2025, 06:11 PM

🌎 In 1977, the Soviet Venera 14 probe recorded mysterious low-frequency “thunder”-like sounds on Venus. Scientists now attribute these to seismic activity or wind interacting with the planet’s dense atmosphere. Venus’s surface winds move slowly, but thick air carries sound much farther than on Earth. ✨ #Venus⚡#sounds⚡#space 👉subscribe Interesting Planet 👉more Channels ​

djangoproject

@djangoproject · Post #255 · 02/02/2017, 06:57 PM

https://github.com/tyiannak/pyAudioAnalysis #pyAudioAnalysis is a Python library covering a wide range of audio analysis tasks. Through pyAudioAnalysis you can: Extract #audio features and representations (e.g. mfccs, spectrogram, chromagram) Classify unknown #sounds Train, parameter tune and evaluate classifiers of audio segments Detect audio events and exclude silence periods from long recordings Perform supervised segmentation (joint segmentation - classification) Perform unsupervised segmentation (e.g. speaker diarization) Extract audio thumbnails Train and use audio regression models (example application: emotion recognition) Apply dimensionality reduction to visualize audio data and content similarities