le-dawg

Keybase proof

I hereby claim:

• I am le-dawg on github.
• I am truedawg (https://keybase.io/truedawg) on keybase.
• I have a public key ASCRWLIs65PdPP1f0Skwx0FVzT_-sPXO_srKeI-zndncjAo

To claim this, I am signing this object:

le-dawg

2018-11-30 05:31:50.350 [info] <0.13017.0>@aec_pow_cuckoo:generate_int_:214 Executing cmd: "./cuda29 -h 70684B536E66476C35763739436C67506E536E30517A4572694679354553722B367445573178497555796B3D71443150754864755743593D  -d 0"
2018-11-30 05:31:50.350 [info] <0.13018.0>@aec_pow_cuckoo:generate_int_:214 Executing cmd: "./cuda29 -h 70684B536E66476C35763739436C67506E536E30517A4572694679354553722B367445573178497555796B3D71443150754864755743593D  -d 1"
2018-11-30 05:31:50.351 [info] <0.13019.0>@aec_pow_cuckoo:generate_int_:214 Executing cmd: "./cuda29 -h 70684B536E66476C35763739436C67506E536E30517A4572694679354553722B367445573178497555796B3D71443150754864755743593D  -d 2"
2018-11-30 05:31:51.392 [debug] <0.13017.0>@aec_pow_cuckoo:parse_generation_result:479 GeForce GTX 1070 with 8118MB @ 256 bits x 4004MHz
2018-11-30 05:31:51.392 [debug] <0.13017.0>@aec_pow_cuckoo:parse_generation_result:479 Looking for 42-cycle on cuckoo30("phKSnfGl5v79ClgPnSn0QzEriFy5ESr+6tEW1xIuUyk=qD1PuHduWCY=",0) with 50% edges, 64*64 buckets, 17

le-dawg

grep -rlI git: . --exclude-dir={.git,.circleci,.gitattributes,.gitignore,.editorconfig} | xargs sed -i 's/git:/https:/g'

le-dawg

//This snippet is a very short jQuery function that is executed when the javascript is exectued on load.

// Troubleshooting:
// You might want to add a specific class to the accordion element itself and then append that to the first div: ('div#accordionID > ...

jQuery(function(){
   jQuery('div > div.x-accordion-heading > a.x-accordion-toggle').click();
});

le-dawg

    # Rapidly initalize 2D list
    2dlist = [[0] * 3 for i in xrange(3)]
    print(2dlist)
    # [[0, 0, 0], [0, 0, 0], [0, 0, 0]]

le-dawg

  #Count occurences of string in dataframe
  #Check how many rows in DataFrame contain certain substring s in column col
  print(len(df[df['col'].str.contains("s")].index.values[:]))
  
  #Index of columns in dataframe containing string
  #Get indices of rows that contain substring s in column col
  print(df[df['col'].str.contains("s")].index.values[:])