![]() ValueError: The extension "jupyterlab-nvdashboard" does not yet support the current version of JupyterLab. However when I run the startClaraTrainNoteBooks.sh I get a build error from docker saying… An error occurred. dockerWGPUDashboardPlugin/ # Project rootĭockerfile. In the docker compose and then uncommented build:Ĭontext. However, I was interested in the NVDashboard functionality so I commented the image: nvcr.io/nvidia/clara-train-sdk:v4.0 GitHub and I’m trying to work through the material there.So I went to the github page: clara-train-examples/PyTorch/NoteBooks at master JUPYTERLAB APPUTILS UPDATEI am really excited about this one.Hi I’m new to Clara and trying to get it working. In fact conda update -all is a good to refresh and update the entire environment before upgrading a major package like JupyterLab, Jupyter Classic NB, or Spyder so that all the supporting packages are up-to-date before doing your update. I used a workaround by resetting all outputs before pushing it, but sometimes I forgot (or JupyterLab didn’t save the latest state) and there was a big mess in the end. If you’ve ever pushed a Jupyter Notebook to Git, then made some changes to it and pushed it again, you know that Git’s diff functionality is useless - it marks everything. JUPYTERLAB APPUTILS INSTALLTo install the extension, run: jupyter labextension install JupyterLab-Git Then install requirements: pip install xeus-python=0.7.1 pip install ptvsd Make sure you have JupyterLab ≥ 2.0 installed and Extension Manager enabled. I also tried to investigate the values of a class and a DataFrame. I tried the debugger by investigating the values of variables in a function - this was the biggest pain point when using pdb package - and it works well. Use the debug panel on the right to investigate the variables. To use the debugger enable the orange switch in the top right, set a breakpoint and execute the code. In case you’ve missed my previous articles related to this topic: Keep in mind that I link courses because of their quality and not because of the commission I receive from your purchases. Some of the links above are affiliate links and if you go through them to make a purchase I’ll earn a commission. jupyterlab/apputils is an open source tool with 12.3K GitHub stars and 2.5K GitHub forks. Here are a few links that might interest you: - Labeling and Data Engineering for Conversational AI and Analytics - Data Science for Business Leaders - Intro to Machine Learning with PyTorch - Become a Growth Product Manager - Deep Learning (Adaptive Computation and ML series) - Free skill tests for Data Scientists & Machine Learning Engineers jupyterlab/apputils is a tool in the npm Packages category of a tech stack. There were still a couple of missing pieces in the JupyterLab ecosystem to make it at least equivalent to P圜harm in terms of features. I gave it a try - it is a massive improvement in the Jupyter ecosystem. Soon after one of the lead developers of JupyterLab-LSP contacted me and showed me their extension. JUPYTERLAB APPUTILS CODEA week ago, I mentioned a couple of deficiencies that I notice while editing Notebooks with JupyterLab - nonexistent code assistance was one of them. I am happy to confirm that JupyterLab just became a full-fledged IDE with the help of the latest extensions. ![]()
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