semvec/pypi-packages huggingface dataset:
bootdev 0.2.10
Bootdev command for AWS deployments
License: MIT
Keywords: testing,logging,example

# BootDev

Command line tool to deploy auto-scaling architecture with chef DevOps management.

## Install
There are a few different ways you can install pyechonest:

* Use setuptools: `easy_install -U pyechonest`
* Download the zipfile from the [releases](https://github.com/echonest/pyechonest/releases) page and install it. 
* Checkout the source: `git clone git://github.com/echonest/pyechonest.git` and install it yourself.
   
## Getting Started
* Install Pyechonest
* **Get an API key** - to use the Echo Nest API you need an Echo Nest API key.  You can get one for free at [developer.echonest.com](http://developer.echonest.com).
* **Set the API** key - you can do this one of two ways:
* set an environment variable named `ECHO_NEST_API_KEY` to your API key
* Include this snippet of code at the beginning of your python scripts:

```python
    from pyechonest import config
    config.ECHO_NEST_API_KEY="YOUR API KEY"
```

* Check out the [docs](http://echonest.github.com/pyechonest/) and examples below.

## Examples
*All examples assume you have already setup your api key!*

Find artists that are similar to 'Bikini Kill':

```python
from pyechonest import artist
bk = artist.Artist('bikini kill')
print "Artists similar to: %s:" % (bk.name,)
for similar_artist in bk.similar: print "\t%s" % (similar_artist.name,)
```

Search for artist:
```python
from pyechonest import artist
weezer_results = artist.search(name='weezer')
weezer = weezer_results[0]
weezer_blogs = weezer.blogs
print 'Blogs about weezer:', [blog.get('url') for blog in weezer_blogs]
```

Get an artist by name:
```python
from pyechonest import artist
a = artist.Artist('lady gaga')
print a.id
```

Get an artist by Musicbrainz ID:
```python
from pyechonest import artist
a = artist.Artist('musicbrainz:artist:a74b1b7f-71a5-4011-9441-d0b5e4122711')
print a.name
```

Get the top hottt artists:
```python
from pyechonest import artist
for hottt_artist in artist.top_hottt():
print hottt_artist.name, hottt_artist.hotttnesss
```

Search for songs:
```python
from pyechonest import song
rkp_results = song.search(artist='radiohead', title='karma police')
karma_police = rkp_results[0]
print karma_police.artist_location
print 'tempo:',karma_police.audio_summary['tempo'],'duration:',karma_police.audio_summary['duration']
```

Get a song's audio_url and analysis_url:
```python
from pyechonest import song
ss_results = song.search(artist='the national', title='slow show', buckets=['id:7digital-US', 'tracks'], limit=True)
slow_show = ss_results[0]
ss_tracks = slow_show.get_tracks('7digital-US')
print ss_tracks[0].get('preview_url')
```

-![alt text](http://i.imgur.com/WWLYo.gif "Frustrated cat can't believe this is the 12th time he's clicked on an auto-linked README.md URL")
dgit_extensions 0.1.3
dgit addons
License: MIT
Keywords: dgit dataset versioning addons

dgit Extensions
===============

`dgit <https://github.com/pingali/dgit>`_ is a dataset management
tool. This package has a series of dgit addons that are expected to be
more computationally expensive/otherwise complex such as integrity
checks, anonymization, sampling etc.



::

   $ pip install dgit_extensions 

   # The modules in bold are extensions from this repo 
   $ dgit plugins list