vegarsti

https://twitter.com/thorstenball/status/1576619567488475137?s=20&t=KaBdUrc5-M1bnNTMU6tuQA

Working with Unix Processes
Working with TCP Sockets
Working with Ruby Threads
Zed Shaw's C book
Programming From The Ground Up
Destroy All Software
PeepCode Play by Play
Pragmatic Programmer

vegarsti

Install Karabiner Elements.
Follow this
https://github.com/tekezo/Karabiner-Elements/issues/638

vegarsti

# If you come from bash you might have to change your $PATH.
# export PATH=$HOME/bin:/usr/local/bin:$PATH

# Path to your oh-my-zsh installation.
export ZSH=/Users/vegard/.oh-my-zsh

# Set name of the theme to load. Optionally, if you set this to "random"
# it'll load a random theme each time that oh-my-zsh is loaded.
# See https://github.com/robbyrussell/oh-my-zsh/wiki/Themes
ZSH_THEME="sobole"

vegarsti

Get package on PyPi (so you can pip install it)

• Guide to PyPi
• Guide to writing a package (vboykis)
• Documentation in .rst format: pandoc --from=markdown --to=rst --output=README.rst README.md
• https://gehrcke.de/2014/02/distributing-a-python-command-line-application/
• http://kronosapiens.github.io/blog/2014/07/28/understanding-package-imports-in-python.html imports
• https://hynek.me/articles/sharing-your-labor-of-love-pypi-quick-and-dirty/#fnref:meta-peps
• rst check: http://rst.ninjs.org

vegarsti

def pairwise(iterable, n):
    iterator = iter(iterable)
    items = [None]*n
    for i in range(n):
        try:
            items[i] = next(iterator)
        except StopIteration:
            return
    yield tuple(items)

vegarsti

def pairwise(it):
    iterator = iter(it)
    try:
        i = next(iterator)
    except StopIteration:
        return
        yield
    try:
        j = next(iterator)
    except StopIteration:

vegarsti

https://stackoverflow.com/questions/23916219/os-x-package-installation-depends-on-gfortran-4-8

vegarsti

• tee from itertools is cool! link

from itertools import tee
i, j = tee(data)
next(j)
for first, second in zip(i, j):

vegarsti

Given array a, count occurrences and stack.

e.g. a = np.array([0, 0, 1, 1, 2, 1, 0, 2, 3, 0, 1])

then counts = np.dstack(np.unique(a, return_counts=True)) gives

array([[[0, 4],
        [1, 4],
 [2, 2],

vegarsti

• current_date - interval '1 days'*extract(isodow from now()) sunday before this week