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get_tag_migrations () {

    last_n=$1
    migrations_directory=$2
    tags=($(git tag --sort version:refname | egrep '^[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}$'))
    begin=`expr ${#tags[@]} - ${last_n}`
    subset_tags=(${tags[@]:${begin}})
    
    for (( i=0; i< `expr ${#subset_tags[@]} - 1` ; i+=1 )) ;   # forwards
    do    

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def get_all_issue_events(issue_id):
    url = 'https://app.getsentry.com/api/0/issues/%s/events/' % issue_id
    all_data = get_all_data(url)
    return all_data


def get_all_data(url):

seanickle

similar to ipdb, pdb

from celery.contrib import rdb
rdb.set_trace()

a

netstat -plant|grep LIST 

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nice pattern for counting after a groupby without dealing with the MultiIndex .

• First apply the x if not pd.isnull(x) else 'NaN' mapping function concept to columns which have np.nan in them.
• (that might not be necessary in pandas 0.17.1 not sure yet. )
• This feels like a really obvious function combo now in retrospect.

Out[194]: (16037, 21)

• After writing custom ways to do it finally came across the df[cols].groupby(by=colx).size().reset_index() combo …

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remote-pdb

• https://pypi.python.org/pypi/remote-pdb

• pip install remote-pdb

• usage:

from remote_pdb import RemotePdb; RemotePdb('127.0.0.1', 4444).set_trace()

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scatter plot

• Plot x vs y , w/ color based on the hue.

%matplotlib inline

import seaborn as sns
import pandas as pd

# Quick scatter plot
df = pd.read_csv(filename)

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• Can modify query search with __iregex for some regex based querying.

In [713]: BlahModel.objects.filter(phone__iregex=r"\d\d\d\d\d\d\d\d\d\d\d\d").val
     ...: ues_list('phone')
Out[713]: [(u'51615415135135',), (u'3424234234234',), (u'0971557335940',), (u' 923006306666',), (u' 923006306666',), (u' 923006306666',), (u'491725152799',), (u'4921195799170',), (u'527821398854',), (u'860290084656',)]

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* numpy bool 
```python
ipdb> pp outdf
      a  b        c    d      e
0  None  a       []  foo   True
1   3.4  b   [asdf]   no  False
2    34  0  [{}, 0]  meh  False
...
...
ipdb> pp type(outdf.ix[0,'e'])

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• foo

last_n=15
# tags=($(git tag | egrep '^[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}$'))
tags=($(git tag --sort version:refname | egrep '^[0-9]{1,3}\.[0-9]{1,3}\.[0-9]{1,3}$'))
begin=`expr ${#tags[@]} - ${last_n}`
subset_tags=(${tags[@]:${begin}})
# for (( i=`expr ${#subset_tags[@]} - 1`; i>=0 ; i-=1 )) ;   # reverse
for (( i=0; i< `expr ${#subset_tags[@]} - 1` ; i+=1 )) ; # forwards

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# from multiprocessing import Process
# from multiprocessing import Pool
from multiprocessing import Process, Pipe

import cPickle

 
def foo(multiproc, chunk_ids, feature_names, child_conn):
    child_conn.send([chunk_ids, feature_names])