Subject
12 entries
Notebooks
Bookmarks
LlamaIndex Retrieval and Chunk Evaluation Notebook
A LlamaIndex Google Colab notebook for evaluating retrieval quality and chunk size in RAG pipelines — demonstrating how to measure retrieval hit rate and MRR across different chunk sizes. Practical tooling for the underappreciated problem of RAG evaluation.
Awesome Colab Notebooks
Curated collection of Google Colab notebooks for ML experiments — covering Stable Diffusion, GANs, NLP models, and more. A snapshot of what was freely runnable in browser-based GPU compute in 2022, before Hugging Face Spaces simplified deployment further.
Pluto.jl: Reactive Interactive Notebooks for Julia
Pluto.jl is a reactive notebook environment for Julia — unlike Jupyter, cells automatically re-execute when their dependencies change. This eliminates the hidden state problem that makes Jupyter notebooks hard to reproduce and reason about.
Ploomber: Data Pipelines from Dev to Production
Ploomber is a Python framework for building data pipelines that can develop in Jupyter notebooks and deploy to Kubernetes, Airflow, or AWS Batch without rewriting code. Solves the notebook-to-production gap by treating notebooks as first-class pipeline tasks.
Jupyter Notebooks Gallery — notebook.community
notebook.community is a curated gallery of publicly shared Jupyter notebooks — a discovery layer for interesting notebooks covering machine learning, data analysis, visualization, and scientific computing. Good for finding worked examples.
Notebook Gallery: Best IPython Notebooks
A curated gallery of the most-viewed IPython/Jupyter notebooks — an early community resource for discovering high-quality notebook examples across ML, data analysis, and scientific computing. Predecessor to nbviewer and the current ecosystem of notebook sharing platforms.
IPython Notebook — msund Gist
An IPython notebook shared via gist by msund — likely conference or tutorial materials from the 2014 Python/data science community. Saved without content, context inferred from surrounding bookmarks in the same PyData period.
Up and Down PyData 2014 — Rob Story
Rob Story's PyData SV 2014 talk notebook on 'Up and Down' — covering the landscape of Python data visualization tools from low-level (Matplotlib) to high-level (Bokeh, Vincent, Folium). A snapshot of the visualization stack debate of that era.
Learn Pandas — IPython Notebook Tutorial Series
Bitbucket-hosted IPython notebook series for learning Pandas from scratch — one of the early hands-on Pandas tutorials when official documentation was sparse. Covers data loading, manipulation, groupby, and time series.
My Favorite 7 IPython Notebooks
A curated list of seven standout IPython Notebooks shared in early 2014 — when the notebook format was the primary vehicle for sharing data science work and reproducible analysis. Reflects the community's excitement about executable, shareable computation.
Research Computing Meetup Fall 2013
GitHub repo of materials from the Research Computing Fall 2013 meetup series — IPython notebooks covering Python for scientific computing, parallel processing, and HPC workflows.
A Gallery of Interesting IPython Notebooks
Curated GitHub wiki of interesting IPython Notebooks covering scientific computing, data analysis, machine learning, and visualization. The 2014 canonical list of notebooks worth running — before nbviewer and Binder made sharing notebooks routine.