VSCode, short for Visual Studio Code, is a text editor used for writing computer code. It's a powerful tool that helps programmers write and organize their code easily. With its user-friendly interface, extensive features, and support for different programming languages, it's a popular choice for developers of all levels.

In this video, I have explained you how to use VSCode for Data Science with different extensions in GitHub Codespaces. You can use it locally or any other platforms you want. At the end, I have tried my best to explain the most requested setup, the interactive Jupyter environment. Enjoy 😎

👉🏼 Links:
Download VSCode: [ Ссылка ]

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⏰ Time Stamps:
00:00 Introduction
01:00 Python Extension Pack
06:43 Docker
08:22 Codesnap
10:20 Color theme and file icon theme
12:58 Jupyter (mostly asked one 😎 )
24:45 Conclusion
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✌️Patreon: [ Ссылка ]

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🔗 Other videos you might find helpful:

🔥 PrivateGPT: [ Ссылка ]

⛓️ Langflow: [ Ссылка ]

🦜️🔗 LangChain playlist: [ Ссылка ]

🐍🌐💻 Python Virtual Env: [ Ссылка ]

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🤝 Connect with me:
📺 Youtube: [ Ссылка ]
👔 LinkedIn: [ Ссылка ]
🐦 Twitter: [ Ссылка ]
💼 Consulting: [ Ссылка ]

#vscode #jupyter #python #datascience #datasciencebasics

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