# julienr/ipynb_playground

Various ipython notebooks

Repository: https://github.com/julienr/ipynb_playground
Canonical: https://ross.abutalabs.com/products/ipynb_playground
Language: Jupyter Notebook
License Family: other
Topics: perceptron, bitcoin, blockchain, python
Last push: 2018-01-27T18:42:04+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4174, "days_push": 3140, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1551, forks 267 (observed 2026-08-28T04:05:02.212135+00:00)

## What it is
A collection of educational Jupyter notebooks covering topics like a bitcoin-like blockchain implementation, perceptrons, Keras deep learning examples on MNIST, and Strava API analytics. It serves as a personal playground for learning and demonstrating machine learning and blockchain concepts in Python.

## Use cases
- learn how a bitcoin-like blockchain works with a simple python implementation
- understand how a single-unit perceptron trains with visualizations
- see a CNN example on MNIST with convolution weight visualizations
- learn convolutional autoencoders on MNIST with keras
- fetch and analyze my strava activities with python
- explore plots illustrating the curse of dimensionality

## When to choose
- you want runnable, notebook-based tutorials for ML and blockchain basics
- you learn best from interactive ipython notebooks with visualizations
- you want a minimal educational blockchain implementation to read and modify

## When to avoid
- you need production-ready or maintained software with a license
- you need up-to-date deep learning code (uses Theano and old Keras)
- you need a structured course or comprehensive curriculum rather than scattered notebooks

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, data-science, data-visualization, blockchain
- domain: machine-learning, deep-learning, blockchain, education, tutorials
- platform: python
- tags: jupyter-notebooks, perceptron, keras, theano, mnist, educational, strava-api, notebook-playground, cryptocurrency

## Member repositories
- julienr/ipynb_playground (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:02.212135+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:30:16.097442+00:00, confidence not recorded.
  - readme: https://github.com/julienr/ipynb_playground (fetched 2026-08-28T04:05:02.212135+00:00, sha 9aa93a89d082)
- Data as of 2026-08-30T08:39:29.467469+00:00.