Skip to content

Instantly share code, notes, and snippets.

View garaud's full-sized avatar
🚀
(learn 'model)

Damien Garaud garaud

🚀
(learn 'model)
View GitHub Profile
@garaud
garaud / pandas-plotting-with-highcharts.ipynb
Last active August 29, 2015 14:16
Pandas DataFrame plotting with Highcharts
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
@cspanring
cspanring / geojson-goes-ember.js
Last active December 14, 2015 16:19
Dabbling with GeoJSON and ember.js
// The GeoJSON object
//
// {
// "type": "FeatureCollection",
// "features": [
// {
// "type": "Feature",
// "geometry": {
// "type": "Point",
// "coordinates": [42.3875, -71.1]
@garaud
garaud / pipe-to-emacs.py
Last active October 3, 2023 13:11
Pipe to Emacs: Insert a result from an UNIX command into a new Emacs buffer
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Author: Damien Garaud
# Date: 2014-2015
# License: Simplified BSD
"""Allow you to pipe command results into an Emacs buffer. Suppose you have an
Emacs server since you launch 'emacsclient'.
@debasishg
debasishg / gist:8172796
Last active March 15, 2024 15:05
A collection of links for streaming algorithms and data structures

General Background and Overview

  1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
  2. Models and Issues in Data Stream Systems
  3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
  4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
  5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t