[PyCon JP 2021] PythonとUnityで手軽に強化学習をやってみよう！ (YAMADA Shuhei)

[PyCon JP 2021] Flask 2.0 vs Fast API in REST API developments (Tetsuya Jesse Hirata)

[PyCon JP 2024] Pythonで3Dモデリングをしてみよう: CadQuery Basic by Hiroshi Sano

[PyCon JP 2024] プロダクションでのPython非同期ユースケース - Trio/Trio-Utilを中心に by Junya Fukuda

Natasha Jaques PhD Thesis Defense

Top 3 Best Books to Learn ML/AI and Become a Professional

【未経験OK】エンジニア養成機関「42tokyo」がめちゃキツそうだった...（プログラミングスクール）

Procedural Generation with Wave Function Collapse and Model Synthesis | Unity Devlog

Reinforcement Learning - My Algorithm vs State of the Art

How I'd Learn AI (If I Had to Start Over)

[PyCon JP 2024] Why Knowing Cython Helps in Understanding Python: A Deep Dive i... by Abhik Sarkar

【ZeroPlus Media Web制作講座】Xdデザインデータからコーディング！ブログサイトを作ってみよう

Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)

Build your first machine learning model in Python

Szklanka wody i łyżeczka tego na ból stawów, cukrzycę, tętnice

[PyCon JP 2024] 基調講演 Day2: Pythonと四半世紀ちょっと by 石本 敦夫

How to Improve LLMs with RAG (Overview + Python Code)

Fine-tuning Large Language Models (LLMs) | w/ Example Code

Python RAG Tutorial (with Local LLMs): AI For Your PDFs

Reinforcement Learning: Machine Learning Meets Control Theory

[PyCon JP 2024] Reports from PyCon JP Association / 一般社団法人PyCon JP Associationからの報告