Supercharging your Data Science projects with GitHub tools ｜ Python Data Science Day (Дата оригинальной публикации: )

GitHub with its popular DevOps platform, its cloud-hosted developer environments - GitHub Codespaces - and its embedded AI pair programmer - GitHub Copilot - is known as the developer’s best friend. But what if I can tell you that it is also the data scientist’s best friend? In this session, I’ll show you how: - You can leverage GitHub Codespaces to create your customized environment, set it up with all the prerequisites and libraries needed for your data science project, and share it with your collaborators, ensuring them a seamless experience. - You can leverage GitHub Copilot assistance in your Jupyter notebook throughout the whole project life-cycle, including writing, debugging, and documenting your Python code. Chapters: 00:00 Supercharging your Data Science Project with GitHub tools 01:04 How AI technology is transforming our workplaces 01:44 Today’s project 02:21 GitHub Copilot and GitHub Codespaces 04:14 Demo 22:02 Keep Learning Resources: Blog: Repo: Discord: Survey Python at Microsoft Cloud Skills Challenge - through April 15, 2024 GitHub codespaces VS Code Release notes Featuring: Carlotta Castelluccio, AI Advocate, Microsoft (@carlottacaste)