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Source channel @githubtrending · Post #14864 · Jun 25

#ruby#engineering_blogs#lists#programming_blogs#software_development#tech This list organizes hundreds of top software engineering blogs from big companies, well-known individuals, and popular technologies, all sorted for easy browsing. Following these blogs gives you access to expert advice, real-world solutions, and the latest trends in tech, helping you solve problems faster, learn new skills, and stay updated with what’s happening in the industry[1][3][5]. This saves you time and effort by pointing you to the most valuable resources, so you can focus on learning and improving your work. https://github.com/kilimchoi/engineering-blogs

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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