Due to interaction between Jupyter NB and VS Code files I need to develop in both environments and want everything up to date in my notebook The autoreload allows me to reload imported.%load_ext autoreload %autoreload 2 %matplotlib inline %config eedy = True pd._columns = None pd._rows = 200 sns.set_palette("bright") sns.set(style="darkgrid") sns.set(rc=) InteractiveShell.ast_node_interactivity = "all" ip = get_ipython() ip.register_magics(jupyternotify.JupyterNotifyMagics) %autonotify -a 120 I use some specific NB configurations which might be helpful for you as well. I prefer the dark theme because I work quite a lot in front of the monitor and whatever helps to reduce strain on my eyes is very welcome. ![]() I used a lot the “chesterish” theme ( jt -t chesterish -T -N) which looks like With jupyterthemes you can easily adapt the theme to your needs. Here are some reasons why: Theming and syntax highlighting I still use the NB for most of my POC work. In essence, I use all three tools to various degrees in a data science project. VS Code for everything that is not notebook-related.Jupyter Lab for managing and re-arranging my POCs.NB for developing a Data Science Proof-of-concept (POC).You can easily use both of them for the tasks they are good at. However, and this is important to understand, it doesn’t need to be replaced. There are still many advantages of NB over Lab, which I will elaborate on in the following. I am always asking myself if Jupyter Lab is already so far developed that it can replace my Jupyter Notebook (NB) workflow. Why you don’t need to decide which is better Why you don’t need to decide which is better.Jupyter Notebook or Lab or VS Code? Why not all?.In this article, I want to show that the best way is to use the best tool for a specific task. There is often the question if one IDE is better than the other. Recently I asked myself if it would make sense to check if it is useful to update my current practice and see if alternatives offer better productivity. I have been working with various IDEs for my Python development over the last few years. See on opensea as NFT inspired by Amanda Phung
0 Comments
Leave a Reply. |