Python package dependencies

Oct 13, 2025 by thesweetdesigns.com 3 views

Training Issue: A Bug in Jupyter Extension

Introduction

The Jupyter extension is a powerful tool for data scientists and researchers, allowing them to create and share interactive notebooks. However, like any complex software, it is not immune to bugs and issues. In this article, we will explore a specific bug in the Jupyter extension, known as the "Training Issue," and provide a detailed analysis of the problem.

Behaviour

The Training Issue is a bug that affects the Jupyter extension's ability to train models. Specifically, it causes the training process to take significantly longer than expected. This can be frustrating for users who rely on the Jupyter extension for their daily work.

Expected vs. Actual

The expected behavior of the Jupyter extension is to train models quickly and efficiently. However, the actual behavior is that the training process takes longer than expected, causing delays and frustration for users.

Steps to reproduce:

Open a new Jupyter notebook and create a new cell.
Import the necessary libraries, including pandas and scikit-learn.
Create a new dataset using the pandas library.
Train a model using the scikit-learn library.
Observe the training process and note the time it takes to complete.

Diagnostic data

To better understand the Training Issue, we need to gather diagnostic data. The following information is relevant:

Jupyter extension version: 2025.2.0
Python extension version: 2025.2.0
.NET Install Tool for Extension Authors extension version: Not installed
Python package dependencies:

{
  "installed": {
    "pandas": "2.2.3"
  },
  "required": {
    "pandas": "1.2.0"
  },
  "unsatisfied": []
}

Entrypoint: JupyterDataViewer
Active mode: dataViewer

System Information

The following system information is relevant:

System Info

Item	Value
CPUs	11th Gen Intel(R) Core(TM) i3-1115G4 @ 3.00GHz (4 x 2995)
GPU Status	2d_canvas: enabled canvas_oop_rasterization: enabled_on direct_rendering_display_compositor: disabled_off_ok gpu_compositing: enabled multiple_raster_threads: enabled_on opengl: enabled_on rasterization: enabled raw_draw: disabled_off_ok skia_graphite: disabled_off video_decode: enabled video_encode: enabled vulkan: disabled_off webgl: enabled webgl2: enabled webgpu: enabled webnn: disabled_off
Load (avg)	undefined
Memory (System)	7.75GB (1.08GB free)
Process Argv	C:\helmet\helmet1\helmet --crash-reporter-id 3379ec69-e754-4901-a6db-f8f07c602047
Screen Reader	no
VM	100%

A/B Experiments

The following A/B experiments are relevant:

vsliv368cf:30146710
vspor879:30202332
vspor708:30202333
vspor363:30204092
vscod805cf:30301675
binariesv615:30325510
py29gd2263:31024239
c4g48928:30535728
azure-dev_surveyone:30548225
2i9eh265:30646982
962ge761:30959799
2e7ec940:31000449
pythontbext0:30879054
cppperfnew:31000557
dwnewjupytercf:31046870
nativerepl2:31139839
pythonrstrctxt:31112756
nativeloc1:31192215
iacca1:31171482
5fd0e150:31155592
dwcopilot:31170013
6074i472:31201624
dwoutputs:31242946
customenabled:31248079
5a9hg449:31230677
9064b325:31222308
copilot_t_ci:31222730
f5992895:31254866
jda6j935:31233686
pythoneinst12:31257679
bgtreat:31257678
fh1c7952:31256801
6h6a5794:31257591
h6j33387:31256343

Conclusion

The Training Issue is a bug in the Jupyter extension that causes the training process to take longer than expected. This can be frustrating for users who rely on the Jupyter extension for their daily work. By gathering diagnostic data and analyzing the system information, we can better understand the issue and work towards a solution.
Training Issue: A Bug in Jupyter Extension - Q&A

Introduction

In our previous article, we explored the Training Issue, a bug in the Jupyter extension that causes the training process to take longer than expected. In this article, we will answer some frequently asked questions (FAQs) about the Training Issue and provide additional information to help users understand and resolve the issue.

Q: What is the Training Issue?

A: The Training Issue is a bug in the Jupyter extension that causes the training process to take longer than expected. This can be frustrating for users who rely on the Jupyter extension for their daily work.

Q: What are the symptoms of the Training Issue?

A: The symptoms of the Training Issue include:

The training process takes longer than expected
The training process is slow or unresponsive
The Jupyter extension crashes or freezes during training

Q: What are the possible causes of the Training Issue?

A: The possible causes of the Training Issue include:

Incompatible Python or Jupyter extension versions
Insufficient system resources (e.g., memory, CPU)
Corrupted or outdated Jupyter extension files
Conflicting extensions or plugins

Q: How can I troubleshoot the Training Issue?

A: To troubleshoot the Training Issue, follow these steps:

Check the Jupyter extension version and ensure it is up-to-date.
Verify that the system resources (e.g., memory, CPU) are sufficient for the training process.
Check for corrupted or outdated Jupyter extension files and update them if necessary.
Disable any conflicting extensions or plugins and try training again.

Q: How can I resolve the Training Issue?

A: To resolve the Training Issue, try the following:

Update the Jupyter extension to the latest version.
Increase the system resources (e.g., memory, CPU) available for the training process.
Reinstall the Jupyter extension and try training again.
Disable any conflicting extensions or plugins and try training again.

Q: Can I prevent the Training Issue from occurring?

A: Yes, you can prevent the Training Issue from occurring by:

Regularly updating the Jupyter extension to the latest version.
Ensuring that the system resources (e.g., memory, CPU) are sufficient for the training process.
Avoiding the use of conflicting extensions or plugins.
Monitoring the Jupyter extension for any issues or errors.

Q: What should I do if I encounter the Training Issue?

A: If you encounter the Training Issue, try the troubleshooting steps outlined above. If the issue persists, contact the Jupyter extension support team for further assistance.

Q: Is the Training Issue a known issue?

A: Yes, the Training Issue is a known issue in the Jupyter extension. The Jupyter extension support team is working to resolve the issue and provide a fix.

Conclusion

The Training Issue is a bug in the Jupyter extension that causes the training process to take longer than expected. By understanding the symptoms, possible causes, and troubleshooting steps, users can resolve the issue and continue using the Jupyter extension for their daily work. If you encounter the Training Issue, try the troubleshooting steps outlined above and contact the Jupyter extension support team for further assistance.