{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/18a3a6dabff4404aaafd47b49d30f7ed\" frameborder=\"0\" width=\"1202\" height=\"901\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":901,"width":1202,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":901,"thumbnail_width":1202,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/18a3a6dabff4404aaafd47b49d30f7ed-14bb77bcce3dbfd1.gif","duration":313.0132,"title":"Installing Sphinx on VS Code for Data Science 📊","description":"In this video, I walked through the process of installing Sphinx on a fresh VS Code installation, which is applicable to other VS Code-based browsers as well. We set up a data science environment by installing the necessary extensions, including Python, Jupyter, and Sphinx itself. After creating a new notebook, I demonstrated how to interact with Sphinx, including logging in and configuring settings for personalized responses. I also highlighted the different modes available, such as Safe Mode and Plan Mode, to enhance user control and security. I encourage you to explore these features and customize Sphinx to fit your data science needs."}