Use Dev Containers in VS Code for Safe and Replicable Data Analysis in Python

Use Dev Containers in VS Code for Safe and Replicable Analysis in Python Development containers in Visual Studio Code make it easier for data scientists to use open-source packages safely while making their analysis easier to replicate. All the code runs inside a lightweight virtual machine called a containers, which isolates it from your local os. This also helps make sure that all all your work is easy to reproduce by others, which is great for collaboration or if you need to submit your code for peer review. This video will walk you through how to use dev containers in Visual Studio Code for data analysis and data science using Python. 👍 Please like if you found this video helpful, and subscribe to stay updated with my latest tutorials. 🔔 ❤️ You can support this channel by buying me a ☕: https://buymeacoffee.com/codesfinance 🔖 Chapters: 00:00 Intro 01:04 What Are Dev Containers? 02:30 Why Dev Containers? 04:37 Installation 11:08 Github Codespaces 13:28 Extensions and Settings 17:05 Poetry 20:53 Installation 23:06 Final thoughts 🔗 Video links: Sample repository: https://github.com/Vincent-Codes-Finance/devcontainers Docker: https://www.docker.com/products/docker-desktop/ VS Code Documentation: https://code.visualstudio.com/docs/devcontainers/containers Development Containers: https://containers.dev/ 🐍 More Vincent Codes Finance: - ✍🏻 Blog: https://vincent.codes.finance - 🐦 X: https://twitter.com/CodesFinance - 🧵 Threads: https://www.threads.net/@codesfinance - 😺 GitHub: https://github.com/Vincent-Codes-Finance - 📘 Facebook: https://www.facebook.com/people/Vincent-Codes-Finance/61559283113665/ - 👨‍💼 LinkedIn: https://www.linkedin.com/company/vincent-codes-finance/ - 🎓 Academic website: https://www.vincentgregoire.com/ #devcontainers #visualstudiocode #vscode #docker #container #containers #github #codespaces #pandas #python #pythonprogramming #programming #code #security #computersecurity #opensource #research #researchtips #professor #datascience #dataanalytics #dataanalysis