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10 reasons why I use VS Code for Jupyter Notebooks
Read to learn about 10 awesome VS Code features for enhancing your Jupyter Notebook programming experience
I have worked with Python, Deep Learning and Computer Vision for almost 5 years, in both academic research and industrial settings. I had started with Jupyter Notebook but quickly switched to Jupyter Lab because of several reasons. And I loved using it until I started to use VS Code for programming. I am a big fan of writing proper CLI programs than creating notebooks for most tasks. However, for data analysis and quick visualizations, nothing beats the interactive nature of the Jupyter cells! Without even realising it, I have gotten so used to the features provided in VS Code that when it stopped working for me (due to a silly error) and I had to switch to Jupyter Lab briefly, I realized I can never go back!
In this article, I’ll share the top reasons that make working in VS Code tremendously productive.
VS Code Jupyter Support
1. Full IDE Capabilities: This alone is a reason strong enough to switch over. Unlike some of you out there, I am not a person who programs in text editors (vim, nano etc. [No disrespect.]) and uses a separate terminal for program compilation, execution etc. I…