@TestFlightX · Post #34125 · 23.09.2024 klo 18.24
#FLIP#FLASHCARDS https://testflight.apple.com/join/J2B2WMZY
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Lähdekanava @mariinavodesign · Post #708 · 12.6.
Эффект Liquid Glassв Figma — как в новом обновлении от Apple 🪄 В комментариях — инструкция, как собрать эффект вручную А для тех, кто на платформе Ready? Set. Create!, доступен шаблон этого эффекта в разделе Шаблоны Figma — его можно дублировать в свой проект и сразу применить 🫰🏼 #figma@mariinavodesign
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Haku: #flashcards
@TestFlightX · Post #34125 · 23.09.2024 klo 18.24
#FLIP#FLASHCARDS https://testflight.apple.com/join/J2B2WMZY
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@testflightynoti · Post #37537 · 03.05.2026 klo 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 klo 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 klo 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