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vickiboykis.com
When I'm working with Jupyter notebooks, I often want to work with them from within a virtual environment. The general best practice is that you should always use either virtual environments or Docker containers for working with Python, for reasons outlined in this post, or you're gonna have a bad time. I know I have. The workflow is a little long, so I thought I'd document it for future me here. |
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stribny.name
[AI summary] This article explains interactive computing with Jupyter Notebooks, covering its definition, use cases for data science and education, installation methods, and how to manage kernels. |
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www.jhanley.com
Today, you can now use Pyscript to run Python code in the web browser. This has enormous potential for AI, ML, Data Scientists, and regular Python developers. I often develop backend applications in Django and Flask, and the possibilities of writing both frontend and backend code in Python are intriguing. |
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glennsqlperformance.com
Introduction This month's T-SQL Tuesday is being hosted by Steve Jones (blog|twitter). The subject is how are you using Jupyter notebooks every day. As Steve describes it, "I want you to write about how you have used, or would like to use, a Jupyter notebook". This post will be my contribution for T-SQL Tuesday #137 - |
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