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 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.
• 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:

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

• Check out the docs and examples below.

Examples

All examples assume you have already setup your api key!

Find artists that are similar to 'Bikini Kill':

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:

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:

from pyechonest import artist
a = artist.Artist('lady gaga')
print a.id

Get an artist by Musicbrainz ID:

from pyechonest import artist
a = artist.Artist('musicbrainz:artist:a74b1b7f-71a5-4011-9441-d0b5e4122711')
print a.name

Get the top hottt artists:

from pyechonest import artist
for hottt_artist in artist.top_hottt():
print hottt_artist.name, hottt_artist.hotttnesss

Search for songs:

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:

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')

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