tjelen

Zerotier Ubuntu config notes

Setting up the default gateway (for VPN tunelling)

Ubuntu 18.04 UFW settings, based on [1] Step 1

• ens3 .. primary physical ETH interface
• 10.243.0.0/16 .. ZT network

andyrbell

# 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

llllllllll

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:

jFransham

Achieving warp speed with Rust

Contents:

• Number one optimization tip: don't
• Never optimize blindly
• Don't bother optimizing one-time costs
• Improve your algorithms
• CPU architecture primer
• Keep as much as possible in cache
• Keep as much as possible in registers

rondy

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.

---

Effective Engineer - Notes

• By Edmond Lau
• Highly Recommended 👍
• http://www.theeffectiveengineer.com/

What's an Effective Engineer?

twiecki

shagunsodhani

A Few Useful Things to Know about Machine Learning

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.

1. Learning = Representation + Evaluation + Optimization

All machine learning algorithms have three components:

• Representation for a learner is the set if classifiers/functions that can be possibly learnt. This set is called hypothesis space. If a function is not in hypothesis space, it can not be learnt.
• Evaluation function tells how good the machine learning model is.
• Optimisation is the method to search for the most optimal learning model.

kastnerkyle

"""
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

audreyfeldroy

• Update HISTORY.rst
• Commit the changes:

git add HISTORY.rst
git commit -m "Changelog for upcoming release 0.1.1."

• Update version number (can also be patch or major)

bumpversion minor

gigamonkey

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