Ubuntu 18.04 UFW settings, based on [1] Step 1
ens3
.. primary physical ETH interface10.243.0.0/16
.. ZT network
# use ImageMagick convert | |
# the order is important. the density argument applies to input.pdf and resize and rotate to output.pdf | |
convert -density 90 input.pdf -rotate 0.5 -attenuate 0.2 +noise Multiplicative -colorspace Gray output.pdf |
from itertools import chain, repeat | |
import sys | |
import types | |
# byte offsets for structures | |
if hasattr(sys, 'gettotalrefcount'): | |
# under PyDEBUG builds | |
_f_localsplus_offset = 392 | |
_ob_item_offset = 40 | |
else: |
FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.
The paper presents some key lessons and "folk wisdom" that machine learning researchers and practitioners have learnt from experience and which are hard to find in textbooks.
All machine learning algorithms have three components:
""" | |
bitmap utils and much of the ctc code modified | |
From Shawn Tan, Rakesh and Mohammad Pezeshki | |
""" | |
# Author: Kyle Kastner | |
# License: BSD 3-clause | |
from theano import tensor | |
from scipy import linalg | |
import theano | |
import numpy as np |
git add HISTORY.rst
git commit -m "Changelog for upcoming release 0.1.1."
bumpversion minor
Write a program that does what it’s supposed to do | |
Write idiomatic code | |
Debug a program that you wrote | |
Debug a program someone else wrote | |
Debug the interaction between a system you wrote and one you didn’t | |
File a good bug report | |
Modify a program you didn’t write | |
Test a program you wrote | |
Test a program you didn’t write | |
Learn a new programming language |