@TestFlightX · Post #34125 · 23.09.2024 г., 18:24
#FLIP#FLASHCARDS https://testflight.apple.com/join/J2B2WMZY
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Изворен канал @pythonotes · Post #420 · 21 мар.
Все паблики облетела новость о покупке Astral. Мнения бытуют разные, так что мне сложно даже предполагать к чему это приведёт. Сегодня всё так быстро меняется и происходит то, во что раньше бы никто не поверил! Вобщем, будем надеятся. https://openai.com/index/openai-to-acquire-astral/ #offtop
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Пребарај: #flashcards
@TestFlightX · Post #34125 · 23.09.2024 г., 18:24
#FLIP#FLASHCARDS https://testflight.apple.com/join/J2B2WMZY
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@testflightynoti · Post #37537 · 03.05.2026 г., 21:56
#Cruxly#AI#Quiz#amp#Flashcards Join the Cruxly AI - Quiz & Flashcards beta on ✈️#TestFlight 🔗 Link: https://testflight.apple.com/join/muAr9ASt Shared by Dimitri
@githubtrending · Post #14651 · 01.05.2025 г., 11:30
#python#agplv3#education#flashcards#foreign_language#hacktoberfest#hacktoberfest2022#language_learning#python#second_language_acquisition#spaced_repetition#svelte LibreLingo is a free, community-driven language-learning platform offering courses like Spanish, German, and French through interactive exercises, spaced repetition, and progress tracking across devices, while allowing users to contribute and modify content for a collaborative learning experience[1][4][5]. https://github.com/kantord/LibreLingo
@githubtrending · Post #15549 · 08.03.2026 г., 12:00
#python#ai_automation#api#audio_overview#claude#cli_tool#flashcards#google_notebooklm#notebooklm#notebooklm_api#notebookln#podcast_generator#python#python_api#quiz_generator#sdk#skills#study_tools notebooklm-py is a free Python tool and CLI for full access to Google NotebookLM's features, like creating notebooks, adding sources (URLs, PDFs, YouTube), chatting, deep research, and generating podcasts, videos, quizzes, slides, mind maps in formats like MP3, MP4, JSON. It offers extras the web lacks, such as batch downloads, editable PPTX, and mind map data. You benefit by automating research, content creation, and exports programmatically for faster prototypes, pipelines, or AI agents—saving time on manual UI work. https://github.com/teng-lin/notebooklm-py