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import readline, glob
filepath autocompletion using users input
6656819_6657975_18
5,872,858
21,736,385
0.00026
import rtmidi_python as rtmidi vmidi_out = rtmidi.MidiOut() vmidi_out.open_virtual_port('My Virtual MIDI Output Port') vmidi_out.send_message([144, 48, 100])
Configure Mac OS X MIDI programatically
5872858_21736385_14
42,344,365
42,345,790
0.00026
TYPE
How to count unique occurences of particular value per row?
42344365_42345790_4
12,329,807
12,330,005
0.000259
import multiprocessing daemon = False bind = 'unix:/tmp/gunicorn.sock'
Django app deployment on nGINX
12329807_12330005_15
11,021,130
29,618,322
0.000255
twine markdown python - slugify
Parallel Pip install
11021130_29618322_19
11,021,130
29,618,322
0.000255
psutil requests
Parallel Pip install
11021130_29618322_18
27,759,407
27,759,940
0.000253
from allauth.socialaccount.adapter import DefaultSocialAccountAdapter class SocialAccountAdapter(DefaultSocialAccountAdapter): pass
Django allauth Redirect after social signup
27759407_27759940_11
4,905,368
22,600,827
0.000252
from textblob.classifiers import NaiveBayesClassifier train = [('training test totally tubular', 't')]
How to incrementally train an nltk classifier
4905368_22600827_17
2,298,517
23,859,736
0.000252
import pyqtree spindex = pyqtree.Index(bbox=[0, 0, 1000, 500]) for item in items: pass
Are any of these quad-tree libraries any good?
2298517_23859736_13
24,197,970
24,198,880
0.000251
myproject
PyCharm import external library
24197970_24198880_2
29,349,607
29,350,541
0.00025
clr.AddReference('System.Data') from System.Data.SqlClient import * Conn_string = ( 'data source=Server_Name; initial catalog=Database_Name; trusted_connection=True' ) ScheduleConn = SqlConnection(Conn_string) ScheduleConn.Open()
pymssql windows authentication
29349607_29350541_15
25,033,631
25,053,080
0.00025
from joblib import Memory mem = Memory(cachedir=cachedir) @mem.cache def f(arguments): pass
Multiple processes sharing a single Joblib cache
25033631_25053080_17
25,033,631
25,053,080
0.00025
from joblib import Memory mem = Memory(cachedir=cachedir) @mem.cache def f(arguments): """do things"""
Multiple processes sharing a single Joblib cache
25033631_25053080_18
7,249,488
7,254,337
0.000249
import foo as module module_name = module.__name__ import_line = 'from %s import (%%s)' % module_name length = len(import_line) - 3
Tool to help eliminate wildcard imports
7249488_7254337_18
10,767,736
10,771,055
0.000248
import Control.Monad.ST.Lazy import Data.Array.ST import Control.Monad import Data.List
How to make ST computation produce lazy result stream (or operate like a co-routine)?
10767736_10771055_9
7,249,488
7,254,337
0.000246
import re import foo as module module_name = module.__name__ import_line = 'from %s import (%%s)' % module_name length = len(import_line) - 3
Tool to help eliminate wildcard imports
7249488_7254337_19
15,691,740
15,691,929
0.000244
a2 is a a2
Does assignment with advanced indexing copy array data?
15691740_15691929_14
2,814,609
2,815,796
0.000241
from myModule import subModule as sm import imp sm.MyClass.kind imp.reload(sm) sm.MyClass.kind
reloading module, need to re-compile sub modules?
2814609_2815796_18
5,474,514
5,474,796
0.000239
zero = 1 == 0 and 0 or 1 zero = False and 0 or 1 zero = 0 or 1 zero = False or 1
Use of OR as branch control in FP
5474514_5474796_14
2,957,013
2,957,181
0.000237
Red Blue Yellow
BeautifulSoup: just get inside of a tag, no matter how many enclosing tags there are
2957013_2957181_6
13,814,208
13,826,658
0.000237
from pyparsing import Keyword, javaStyleComment, dblQuotedString keyword = 'public'
Trying to find all instances of a keyword NOT in comments or literals?
13814208_13826658_11
3,050,298
3,050,374
0.000229
ONE TWO
Parsing email with Python
3050298_3050374_8
4,905,368
22,600,827
0.000228
from textblob.classifiers import NaiveBayesClassifier train = [('training test totally tubular', 't')] cl = NaiveBayesClassifier(train) cl.update([('super speeding special sport', 's')]) print(('t', cl.classify('tubular test')))
How to incrementally train an nltk classifier
4905368_22600827_18
6,656,819
6,657,975
0.000227
import readline, glob def complete(text, state): return (glob.glob(text + '*') + [None])[state] readline.set_completer_delims(' \t\n;') readline.parse_and_bind('tab: complete')
filepath autocompletion using users input
6656819_6657975_19
8,358,962
8,359,856
0.000227
cc
Efficiently Row Standardize a Matrix
8358962_8359856_14
7,117,143
7,141,077
0.000225
timeit.timeit( 'pygame.surfarray.blit_array(screen, pixels);pygame.display.flip()', setup= 'import pygame;import numpy as np;size=(1920,1080);screen=pygame.display.set_mode(size);pixels=np.random.randint(np.iinfo(np.uint32).max,size=size).astype(np.uint32)' , number=20)
Setting Pixels Quickly
7117143_7141077_7
2,499,746
2,499,903
0.000222
Loop
Extracting columns from text file using Perl one-liner: similar to Unix cut
2499746_2499903_7
21,123,473
21,127,663
0.000221
147
How do I manipulate a variable whose name conflicts with PDB commands?
21123473_21127663_10
6,731,345
6,731,481
0.00022
PI = 3.14 import constants
How-to import constants in many files
6731345_6731481_9
35,792,422
35,793,409
0.000217
numpy
Further confusion with imports in Python
35792422_35793409_3
20,611,504
20,611,773
0.000217
from pkg_resources import require match = require('lxml')
Find python lxml version
20611504_20611773_12
31,967,170
33,519,170
0.000216
131 21
How to structure a program to work with minesweeper configurations
31967170_33519170_18
35,491,426
35,491,719
0.000215
import matplotlib.mlab as mlab regions = mlab.contiguous_regions(ser_orig == manual_mode) for i, (start, end) in enumerate(regions): ser_orig[start:end] = new_manual_mode_text.format(i) ser_orig
Finding contiguous, non-unique slices in Pandas series without iterating
35491426_35491719_12
16,908,236
16,908,265
0.000212
Hi
How to execute Python inline from a bash shell
16908236_16908265_0
5,370,762
5,506,230
0.000212
Else EndIf EndIf
How to hide Firefox window (Selenium WebDriver)?
5370762_5506230_5
35,446,211
35,479,765
0.000211
"""import numpy as np import scipy as sp import matplotlib as plt """
Configuring Jupyter default imports
35446211_35479765_3
34,803,234
34,860,388
0.000211
FROM foo
Sqlalchemy: subquery in FROM must have an alias
34803234_34860388_12
3,401,428
29,698,242
0.00021
import arrow
How to get an isoformat datetime string including the default timezone?
3401428_29698242_5
29,349,607
29,350,541
0.000208
import clr clr.AddReference('System.Data') from System.Data.SqlClient import * Conn_string = ( 'data source=Server_Name; initial catalog=Database_Name; trusted_connection=True' ) ScheduleConn = SqlConnection(Conn_string)
pymssql windows authentication
29349607_29350541_16
7,912,820
32,020,282
0.000206
s stationLat
How do I change a value while debugging python with pdb?
7912820_32020282_5
12,166,819
12,166,860
0.000206
ccg chat chunk classify
Use NLTK without installing
12166819_12166860_18
37,425,819
37,426,164
0.0002
Date
Rolling average pairwise correlation in Python
37425819_37426164_8
13,308,498
13,320,020
0.0002
psycopg2 pytest
How to add a bootstrap script to tox's virtualenv?
13308498_13320020_19
3,531,980
3,541,858
0.000198
parts = python eggs = tornado
How to migrate from virtualenv to buildout?
3531980_3541858_11
24,187,248
24,187,326
0.000197
420 420
Python 2to3 tool adds a vowel to my integer
24187248_24187326_12
7,354,096
7,355,298
0.000196
under
Override default installation directory for Python bdist Windows installer
7354096_7355298_0
5,281,341
14,725,655
0.000193
done fi
Get local network interface addresses using only proc?
5281341_14725655_3
35,491,426
35,491,719
0.000189
import matplotlib.mlab as mlab regions = mlab.contiguous_regions(ser_orig == manual_mode)
Finding contiguous, non-unique slices in Pandas series without iterating
35491426_35491719_13
7,117,143
7,141,077
0.000187
""" pygame.surfarray.blit_array(screen, pixels) pygame.display.flip() """,
Setting Pixels Quickly
7117143_7141077_8
35,792,422
35,793,409
0.000187
numpy import numpy.random
Further confusion with imports in Python
35792422_35793409_4
29,349,607
29,350,541
0.000186
clr.AddReference('System.Data') from System.Data.SqlClient import * Conn_string = ( 'data source=Server_Name; initial catalog=Database_Name; trusted_connection=True' ) ScheduleConn = SqlConnection(Conn_string)
pymssql windows authentication
29349607_29350541_17
5,370,762
5,506,230
0.000185
EndIf EndIf
How to hide Firefox window (Selenium WebDriver)?
5370762_5506230_6
29,349,607
29,350,541
0.000184
Conn_string = ( 'data source=Server_Name; initial catalog=Database_Name; trusted_connection=True' ) ScheduleConn = SqlConnection(Conn_string)
pymssql windows authentication
29349607_29350541_18
11,624,955
11,625,147
0.000183
from builtins import sum as builtin_sum def sum(iterable, startobj=MyCustomStartObject): pass
Avoiding Python sum default start arg behavior
11624955_11625147_5
2,471,804
33,797,841
0.000181
from recommonmark.parser import CommonMarkParser source_parsers = {'.md': CommonMarkParser}
Using sphinx with Markdown instead of RST
2471804_33797841_5
20,611,504
20,611,773
0.00018
from pkg_resources import require match = require('lxml') match lxml = match[0]
Find python lxml version
20611504_20611773_13
18,327,790
24,312,648
0.000179
derp_r1_sum_select = """ select sum(`derp_related_1`.`amount`) from `derp_related_1` where `derp_related_1`.`fk` = `derp`.`pk` """
Django aggregation across multiple tables in ModelAdmin queryset
18327790_24312648_18
22,476,112
28,961,977
0.000175
cd
Using chromedriver with selenium/python/ubuntu
22476112_28961977_2
19,356,410
39,851,067
0.000169
from Spline.Spline import * operation = Spline()
Splines in pythonOCC
19356410_39851067_13
7,117,143
7,141,077
0.000157
import timeit timeit.timeit( 'pygame.surfarray.blit_array(screen, pixels);pygame.display.flip()', setup= 'import pygame;import numpy as np;size=(1920,1080);screen=pygame.display.set_mode(size);pixels=np.random.randint(np.iinfo(np.uint32).max,size=size).astype(np.uint32)' , number=20)
Setting Pixels Quickly
7117143_7141077_9
12,166,819
12,166,860
0.000156
chunk classify
Use NLTK without installing
12166819_12166860_19
4,905,368
22,600,827
0.000153
from textblob.classifiers import NaiveBayesClassifier train = [('training test totally tubular', 't')] cl = NaiveBayesClassifier(train) cl.update([('super speeding special sport', 's')])
How to incrementally train an nltk classifier
4905368_22600827_19
3,123,371
3,124,374
0.000152
python import dis
Splitting a 16 bit int into two 8 bit ints in python
3123371_3124374_6
16,678,551
16,678,743
0.000151
dupes
Pandas: Create new dataframe that averages duplicates from another dataframe
16678551_16678743_16
2,957,013
41,140,750
0.000148
Red Blue Yellow
BeautifulSoup: just get inside of a tag, no matter how many enclosing tags there are
2957013_41140750_5
3,050,298
3,050,359
0.000143
ONE TWO
Parsing email with Python
3050298_3050359_5
5,281,341
14,725,655
0.000143
fi fi
Get local network interface addresses using only proc?
5281341_14725655_4
2,814,609
2,815,796
0.000142
from myModule import subModule as sm sm.MyClass.kind
reloading module, need to re-compile sub modules?
2814609_2815796_19
10,767,736
10,768,103
0.000141
import Control.Monad.ST.Lazy import Data.STRef.Lazy
How to make ST computation produce lazy result stream (or operate like a co-routine)?
10767736_10768103_5
9,788,299
9,788,516
0.000141
Parameters
convenient slicing of DataFrames with datetime indexes in pandas
9788299_9788516_2
25,033,631
25,053,080
0.000137
from joblib import Memory mem = Memory(cachedir=cachedir)
Multiple processes sharing a single Joblib cache
25033631_25053080_19
16,294,819
37,456,080
0.000135
requests simplejson
How to check if my Python has all required packages?
16294819_37456080_3
12,544,510
12,544,831
0.000132
row = ( """172.16.0.3 - - [25/Sep/2002:14:04:19 +0200] "GET / HTTP/1.1" 401 - "" "Mozilla/5.0 (X11; U; Linux i686; en-US; rv:1.1) Gecko/20020827" """ ) import re
Parsing apache log files
12544510_12544831_6
3,058,374
16,182,764
0.000126
touch / tmp / foo.tar python import tarfile
is_tarfile() returns True for a blank file
3058374_16182764_9
20,611,504
20,611,773
0.000122
from pkg_resources import require match = require('lxml') match
Find python lxml version
20611504_20611773_14
32,172,125
32,172,225
0.000119
test3
Numpy index, get bands of width 2
32172125_32172225_16
17,573,814
17,574,265
0.000114
Parameters
Count occurrences of certain words in pandas dataframe
17573814_17574265_13
39,397,034
39,398,969
0.000111
tr fold ps
Script works differently when ran from the terminal and ran from Python
39397034_39398969_12
27,901,211
27,901,437
0.000108
python << _EOF_ import vim
How to pass arguments from vimscript functions to python interface?
27901211_27901437_14
5,281,341
14,725,655
0.000107
done fi fi
Get local network interface addresses using only proc?
5281341_14725655_5
8,478,137
8,478,633
0.000106
alpha beta
How redirect a shell command output to a Python script input ?
8478137_8478633_10
20,630,121
20,639,234
0.0001
Parameters
Pandas - how to convert r dataframe back to pandas?
20630121_20639234_12
8,478,137
8,478,633
0.0001
alpha beta gamma
How redirect a shell command output to a Python script input ?
8478137_8478633_12
8,478,137
8,478,633
0.0001
beta gamma
How redirect a shell command output to a Python script input ?
8478137_8478633_11
7,117,143
7,141,077
0.000087
""" import pygame import numpy as np size=(1920,1080) screen=pygame.display.set_mode(size) pixels=np.random.randint(np.iinfo(np.uint32).max,size=size).astype(np.uint32) """
Setting Pixels Quickly
7117143_7141077_10
33,248,866
33,249,103
0.000081
End End
Distance from smallest to the largest element in lists (inside a list)
33248866_33249103_2
2,957,013
2,957,181
0.000078
Red Blue
BeautifulSoup: just get inside of a tag, no matter how many enclosing tags there are
2957013_2957181_7
5,180,184
5,180,297
0.000077
RawPurchaseAmount
Python Remove Comma In Dollar Amount
5180184_5180297_4
5,180,184
5,180,297
0.000076
import re RawPurchaseAmount
Python Remove Comma In Dollar Amount
5180184_5180297_5
2,957,013
41,140,750
0.000049
Red Blue
BeautifulSoup: just get inside of a tag, no matter how many enclosing tags there are
2957013_41140750_6
39,397,034
39,398,969
0.00003
tr fold
Script works differently when ran from the terminal and ran from Python
39397034_39398969_13