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Source channel @githubtrending · Post #14967 · Jul 16

#swift SwiftFormat is a tool that automatically formats Swift code to follow consistent style rules, making your code cleaner and easier to read. It works on macOS, Linux, and Windows, and can be used in many ways: as a command-line tool, an Xcode extension, a build phase, or a Git pre-commit hook. It fixes issues like spacing, redundant code, and style deviations without changing your code’s behavior. You can customize its rules and options via config files or command-line arguments. Using SwiftFormat saves time, avoids style arguments in teams, and helps maintain a professional, uniform codebase effortlessly. https://github.com/nicklockwood/SwiftFormat

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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