Joe Futrelle joefutrelle
joefutrelle
/ MBVL bacteria vs diatom abundance prototype.ipynb
Created
October 19, 2016 15:05
MBVL bacteria vs diatom abundance prototype
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joefutrelle
/ MBVL bacteria relative abundance.ipynb
Created
September 29, 2016 19:38
MBVL example use case
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joefutrelle
/ MBVL manual diatom abundance.ipynb
Last active
September 29, 2016 19:37
MBVL example use case
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joefutrelle
/ bwmorph_thin_skel_pep8.diff
Created
September 15, 2016 16:35
skimage thin PR pep8 diff
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| diff --git a/skimage/morphology/_skeletonize.py b/skimage/morphology/_skeletonize.py | |
| index 60bd495..5ea2131 100644 | |
| --- a/skimage/morphology/_skeletonize.py | |
| +++ b/skimage/morphology/_skeletonize.py | |
| @@ -9,6 +9,7 @@ from ._skeletonize_cy import _fast_skeletonize, _skeletonize_loop, _table_lookup | |
| # --------- Skeletonization by morphological thinning --------- | |
| + | |
| def skeletonize(image): |
joefutrelle
/ multiproc abundance.ipynb
Created
August 19, 2016 21:06
Compute abundance time series from IFCB data (prototype)
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joefutrelle
/ read ml analyzed from Google Drive.ipynb
Created
August 12, 2016 20:41
read IFCB ml_analyzed from Google Drive
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| import requests | |
| import csv | |
| import numpy as np | |
| from numpy import random | |
| from numpy.linalg import eig | |
| from scipy import stats, signal, optimize | |
| from scipy.spatial.distance import cdist, euclidean | |
| def get_xy(pid): | |
| pos_url='http://ifcb-data.whoi.edu/mvco/api/plot/x/bottom/y/left/pid/%s' % pid |
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joefutrelle
/ Vagrantfile.rb
Created
August 11, 2016 19:54
example shared folder config from windows to linux in Vagrantfile / VirtualBox
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| Vagrant.configure("2") do |config| | |
| config.vm.box = "ubuntu/trusty64" | |
| config.vm.provider "virtualbox" do |vb| | |
| vb.memory="2048" | |
| vb.cpus="4" | |
| end | |
| config.vm.synced_folder "d:/work", "/mnt/dwork" | |
| config.vm.provision :shell, inline: <<-SHELL | |
| SHELL | |
| end |
joefutrelle
/ basic multiprocessing.ipynb
Created
August 10, 2016 15:23
Introduction to multiprocessing in iPython notebook
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