| #!comment: This is a list of the top 100,000 most frequently-used English words | |
| #!comment: according to Wiktionary. | |
| #!comment: | |
| #!comment: It was compiled in August 2005 and coalesced into a handy list for | |
| #!comment: use in John the Ripper. | |
| #!comment: | |
| #!comment: | |
| #!comment: Pull date: Sun Jan 15 22:03:54 2012 GMT | |
| #!comment: | |
| #!comment: Sources: |
Now located at https://github.com/JeffPaine/beautiful_idiomatic_python.
Github gists don't support Pull Requests or any notifications, which made it impossible for me to maintain this (surprisingly popular) gist with fixes, respond to comments and so on. In the interest of maintaining the quality of this resource for others, I've moved it to a proper repo. Cheers!
| # extracted from http//www.naturalearthdata.com/download/110m/cultural/ne_110m_admin_0_countries.zip | |
| # under public domain terms | |
| country_bounding_boxes = { | |
| 'AF': ('Afghanistan', (60.5284298033, 29.318572496, 75.1580277851, 38.4862816432)), | |
| 'AO': ('Angola', (11.6400960629, -17.9306364885, 24.0799052263, -4.43802336998)), | |
| 'AL': ('Albania', (19.3044861183, 39.624997667, 21.0200403175, 42.6882473822)), | |
| 'AE': ('United Arab Emirates', (51.5795186705, 22.4969475367, 56.3968473651, 26.055464179)), | |
| 'AR': ('Argentina', (-73.4154357571, -55.25, -53.628348965, -21.8323104794)), | |
| 'AM': ('Armenia', (43.5827458026, 38.7412014837, 46.5057198423, 41.2481285671)), |
I've deprecated this Gist and migrated the CER FAQ to my faculty webpage:
https://github.com/amyjko/faculty/blob/master/components/cer.js
Feel free to submit pull requests on that file to make additions or corrections.
Long ago, the first time I read "The Pragmatic Programmer", I read some advice that really stuck with me.
"Don't Use Manual Procedures".
This in the chapter on Ubiquitous Automation. To summarize, they want you to automate all the things.
The trouble was that I hadn't much of an idea how to actually go
| import tensorflow as tf | |
| from tensorflow.python.framework import ops | |
| import numpy as np | |
| # Define custom py_func which takes also a grad op as argument: | |
| def py_func(func, inp, Tout, stateful=True, name=None, grad=None): | |
| # Need to generate a unique name to avoid duplicates: | |
| rnd_name = 'PyFuncGrad' + str(np.random.randint(0, 1E+8)) | |
