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Kevin Mader kmader

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@brandonb927
brandonb927 / osx-for-hackers.sh
Last active March 27, 2024 06:33
OSX for Hackers: Yosemite/El Capitan Edition. This script tries not to be *too* opinionated and any major changes to your system require a prompt. You've been warned.
#!/bin/sh
###
# SOME COMMANDS WILL NOT WORK ON macOS (Sierra or newer)
# For Sierra or newer, see https://github.com/mathiasbynens/dotfiles/blob/master/.macos
###
# Alot of these configs have been taken from the various places
# on the web, most from here
# https://github.com/mathiasbynens/dotfiles/blob/5b3c8418ed42d93af2e647dc9d122f25cc034871/.osx
@kevin-keraudren
kevin-keraudren / volume_rendering.py
Last active December 8, 2023 17:10
Volume rendering in Python using VTK-SimpleITK
#!/usr/bin/python
import SimpleITK as sitk
import vtk
import numpy as np
import sys
from vtk.util.vtkConstants import *
filename = sys.argv[1]
@EderSantana
EderSantana / CATCH_Keras_RL.md
Last active October 16, 2023 08:32
Keras plays catch - a single file Reinforcement Learning example
@Larivact
Larivact / flask_script_name.md
Last active September 20, 2023 17:18

Serving Flask under a subpath

Your Flask app object implements the __call__ method, which means it can be called like a regular function. When your WSGI container receives a HTTP request it calls your app with the environ dict and the start_response callable. WSGI is specified in PEP 0333. The two relevant environ variables are:

SCRIPT_NAME
The initial portion of the request URL's "path" that corresponds to the application object, so that the application knows its virtual "location". This may be an empty string, if the application corresponds to the "root" of the server.

@dbieber
dbieber / fastbook.py
Last active August 10, 2023 18:13
fastbook speeds up the silence in audiobooks, and can speed up the non-silence too
"""Performs automatic speed edits to audio books.
Example usage:
Assuming you have an audiobook book.aax on your Desktop:
1. Convert it to wav:
ffmpeg -i ~/Desktop/book.aax ~/Desktop/book.wav
2. Adjust the speed:
@yocontra
yocontra / aoe2hd.md
Last active June 9, 2023 18:28
Age of Empires II HD - For Mac OSX
@mrocklin
mrocklin / Delayed-Feather.ipynb
Last active April 9, 2023 05:15
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@dutc
dutc / retry.py
Last active February 21, 2023 19:32
Legitimately Bad Idea (`retry` decorator)
from functools import wraps
from itertools import islice, tee, zip_longest, chain, product
from collections import deque
from pandas import DataFrame
nwise = lambda g, *, n=2: zip(*(islice(g, i, None) for i, g in enumerate(tee(g, n))))
nwise_longest = lambda g, *, n=2, fv=object(): zip_longest(*(islice(g, i, None) for i, g in enumerate(tee(g, n))), fillvalue=fv)
first = lambda g, *, n=1: zip(chain(repeat(True, n), repeat(False)), g)
last = lambda g, *, m=1, s=object(): ((y[-1] is s, x) for x, *y in nwise_longest(g, n=m+1, fv=s))
@mrocklin
mrocklin / numba-cuda-stencil.ipynb
Last active July 5, 2022 16:03
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@fperez
fperez / README.md
Last active July 1, 2021 04:43
Polyglot Data Science with IPython

Polyglot Data Science with IPython & friends

Author: Fernando Pérez.

A demonstration of how to use Python, Julia, Fortran and R cooperatively to analyze data, in the same process.

This is supported by the IPython kernel and a few extensions that take advantage of IPython's magic system to provide low-level integration between Python and other languages.

See the companion notebook for data preparation and setup.