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Setup reproducible scientific coding/development environment using docker #1

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weiji14 opened this issue Jun 22, 2017 · 0 comments
Open

Setup reproducible scientific coding/development environment using docker #1

weiji14 opened this issue Jun 22, 2017 · 0 comments
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weiji14 commented Jun 22, 2017

Initialize with a 'stable' debian 10 buster base (said as of late Jun 2017), and setup python with a few useful libraries.

See e.g. https://doi.org/10.1038/546173a on the importance of reproducibility
@weiji14 weiji14 self-assigned this Jun 22, 2017
@weiji14 weiji14 changed the title Setup reproducible scientific coding environment using docker Setup reproducible scientific coding/development environment using docker Jun 22, 2017
weiji14 referenced this issue Jun 30, 2017
@weiji14
Add interactive jupyter functionality to atom-hydrogen-beta docker image
044f2a8 
Install build-essential and python3-dev within mouthful docker RUN statement in dockerfile to build latest jupyter notebook (et al. packages) using python3-pip.

Install hydrogen using apm-beta, initiate jupyter notebook with default config for default atom user and implement a hack fix for the 'No module named ipykernel_launcher' to do with using pure python3.
weiji14 referenced this issue Jul 14, 2017
@weiji14
Initial commit of nn-from-scratch tutorial, install scipy et al
550ef71 
Mostly copy-and-pasted iPython implementation of the neural network from scratch tutorial by Denny Britz. Edited to be Python3 compatible (e.g. use print() instead of print, and range instead of xrange).

Also added scientific libraries to atom-beta dockerfile by pip3 installing standard data science modules. Namely matplotlib, numpy, scikit-learn and scipy.
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