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Update data one final time :) (#1140)
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scripts/download-data.py

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ROOT = pathlib.Path(__file__).parents[1]
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SESSIONS_URL = "https://programapi24.europython.eu/2024/sessions.json"
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SPEAKERS_URL = "https://programapi24.europython.eu/2024/speakers.json"
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SCHEDULE_DATA = "https://programapi24.europython.eu/2024/schedule.json"
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SESSIONS_URL = "https://static.europython.eu/programme/ep2024/releases/current/sessions.json"
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SPEAKERS_URL = "https://static.europython.eu/programme/ep2024/releases/current/speakers.json"
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SCHEDULE_DATA = "https://static.europython.eu/programme/ep2024/releases/current/schedule.json"
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def write_mdx(data: dict[str, Any], output_dir: pathlib.Path, content_key: str) -> None:

src/content/days/2024-07-08.json

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src/content/days/2024-07-09.json

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src/content/days/2024-07-10.json

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src/content/days/2024-07-11.json

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src/content/days/2024-07-12.json

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src/content/sessions/39V7BK.mdx

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- elvis-pranskevichus
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start: '2024-07-12T11:20:00+02:00'
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title: 'Edges of Python: Three Radical Python Hacks for Fun and Profit'
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track: Software Engineering & Architecture
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track: Software Engineering & Architecture (2024)
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tweet: ''
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website_url: https://ep2024.europython.eu/session/edges-of-python-three-radical-python-hacks-for-fun-and-profit
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youtube_url: https://youtube.com/watch?v=i-rZlnfGUaE

src/content/sessions/3XXR79.mdx

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- sheena-o-connell
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start: '2024-07-10T10:45:00+02:00'
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title: Learning to code in the age of AI
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track: Software Engineering & Architecture
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track: Software Engineering & Architecture (2024)
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tweet: 'Across the industry, programmers of all levels are embracing AI and LLMs.
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But: it''s still worthwhile to learn the foundations of coding. And there''s a risk:
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some learners are using AIs as footguns and limiting their own'

src/content/sessions/7CJVKM.mdx

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prev_session: XLGEHC
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resources:
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- description: Slides
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resource: https://pretalx.com/media/europython-2024/submissions/7CJVKM/resources/EuroPython_2024_Streamlining_Testing_in_a_L_dL1DHRY.pdf
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resource: https://programme.europython.eu/media/europython-2024/submissions/7CJVKM/resources/EuroPython_2024_Streamlining_Testing_in_a_L_dL1DHRY.pdf
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room: Terrace 2B
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session_type: Talk
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sessions_after:
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- jimmy-lai
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start: '2024-07-12T14:00:00+02:00'
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title: Streamlining Testing in a Large Python Codebase
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track: DevOps and Infrastructure (Cloud & Hardware)
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track: DevOps and Infrastructure (Cloud & Hardware) (2024)
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tweet: ''
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website_url: https://ep2024.europython.eu/session/streamlining-testing-in-a-large-python-codebase
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youtube_url: https://youtube.com/watch?v=SkbugLOeyKk

src/content/sessions/7DF7VC.mdx

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resources:
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- description: Slides
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resource: https://pretalx.com/media/europython-2024/submissions/7DF7VC/resources/Deconstructing_the_text_embedding_models_Eu_X7LWdyg.pdf
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resource: https://programme.europython.eu/media/europython-2024/submissions/7DF7VC/resources/Deconstructing_the_text_embedding_models_Eu_X7LWdyg.pdf
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room: North Hall
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session_type: Talk (long session)
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sessions_after:
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- kacper-lukawski
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start: '2024-07-10T12:10:00+02:00'
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title: Deconstructing the text embedding models
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track: 'PyData: Deep Learning, NLP, CV'
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track: 'PyData: Deep Learning, NLP, CV (2024)'
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tweet: Tokenizers are the most underrated parts of not only LLMs but also text embedding
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models used to build semantic search apps, i.e., RAG. @LukawskiKacper will describe
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their crucial role and show how to control them!

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