kynan/nbstripout

Performance issue

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#33 opened on Aug 10, 2016

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 (13 comments) (0 reactions) (0 assignees)Python (1,047 stars) (90 forks)batch import
help wantedstate:needs follow uptype:enhancement

Description

Everytime i go into a repo with lots of notebooks, it takes several seconds before i get my prompt back, which can be annoying... I'm wondering if the official PreProcessor of the notebook tools is faster than your manual filtering?

Contributor guide

Tech stack
python
Domain
performancedeveloper experience
Issue type
performance
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-3 hours
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
stale
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
needs investigation
Prerequisites
PythonJupyter Notebook
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
40
Research direction
Investigate the performance difference between the official nbstripout PreProcessor and the manual filtering approach. Start by profiling the current implementation using Python's cProfile or timeit, focusing on the code in the main stripout function. Compare with the PreProcessor from the nbformat or nbstripout's own tools. Look at the issue comments for any suggestions about caching or lazy loading. The goal is to identify the bottleneck and propose a fix, which may involve optimizing the regex or I/O operations.