academictorrents 2.0.9

Academic Torrents Python APIs

Copyright (c) 2017 academictorrents

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of this software and associated documentation files (the "Software"), to deal
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furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
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Description: # Academic Torrents Python and R APIs (Under Development)

[](https://travis-ci.org/AcademicTorrents/python-r-api)
[](https://codecov.io/gh/AcademicTorrents/python-r-api)

The idea of this API is to allow scripts to download datasets easily. The library should be available on every system and allow a simple interface to download small and large files.

We are currently out on test.pypi! Install AT with this command:
```pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple academictorrents```


```
import academictorrents as at

# Download the data (or verify existing data)
filename = at.get("323a0048d87ca79b68f12a6350a57776b6a3b7fb")

# Then work with the data
import cPickle, gzip
import sys, os, time
import numpy as np

mnist = gzip.open(filename, 'rb')
train_set, validation_set, test_set = cPickle.load(mnist)
mnist.close()
```

Platform: UNKNOWN
Classifier: Programming Language :: Python :: 2.6Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.0
Classifier: Programming Language :: Python :: 3.1
Classifier: Programming Language :: Python :: 3.2
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6