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@leemeichin
leemeichin / README.md
Created April 12, 2012 12:02
Modulo Liquid filter for Jekyll

Modulo Liquid filter for Jekyll

Got nested columns in your grid-based Jekyll site?

Wondered why you didn't have a way to calculate the modulo inside your posts loop to open and close your 'rows' containing those nested columns?

Add this filter to your _plugins directory, and use it like so:

{{ x | mod:y }}
@Atem18
Atem18 / gist:4696071
Last active April 19, 2024 11:18 — forked from evildmp/gist:3094281
Tutorial to seting up a django website in production.

******************************************************************** Set up Django, Nginx and Gunicorn in a Virtualenv controled by Supervisor********************************************************************

Steps with explanations to set up a server using:

  • Virtualenv
  • Virtualenvwrapper
  • Django
  • Gunicorn
# This is a really old post, in the comments (and stackoverflow too) you'll find better solutions.
def find(key, dictionary):
for k, v in dictionary.iteritems():
if k == key:
yield v
elif isinstance(v, dict):
for result in find(key, v):
yield result
elif isinstance(v, list):
@jfreels
jfreels / README.md
Last active October 31, 2019 06:55
d3js: Dynamic Scatter plot based on Select input using JSON.

d3js: Dynamic Scatter plot based on Select input using JSON.

Need to figure out how to dynamically change axis labels from percent to number based on select input.

@garrettdreyfus
garrettdreyfus / yesOrNo.py
Last active January 18, 2024 15:21
Dead simple python function for getting a yes or no answer.
def yes_or_no(question):
reply = str(raw_input(question+' (y/n): ')).lower().strip()
if reply[0] == 'y':
return True
if reply[0] == 'n':
return False
else:
return yes_or_no("Uhhhh... please enter ")
@vladignatyev
vladignatyev / progress.py
Last active March 31, 2024 22:54
Python command line progress bar in less than 10 lines of code.
# The MIT License (MIT)
# Copyright (c) 2016 Vladimir Ignatev
#
# Permission is hereby granted, free of charge, to any person obtaining
# a copy of this software and associated documentation files (the "Software"),
# to deal in the Software without restriction, including without limitation
# the rights to use, copy, modify, merge, publish, distribute, sublicense,
# and/or sell copies of the Software, and to permit persons to whom the Software
# is furnished to do so, subject to the following conditions:
#
@githubutilities
githubutilities / Uninstall-pkg.md
Last active May 6, 2024 01:55
Uninstall pkg manually in OS X

Mac Uninstall pkg Manually

  • using pkgutil
# list all your installed packages
pkgutil --pkgs

# show your package info
pkgutil --pkg-info 
@PurpleBooth
PurpleBooth / README-Template.md
Last active May 31, 2024 07:07
A template to make good README.md

Project Title

One Paragraph of project description goes here

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

@pv8
pv8 / fix-venv.sh
Last active September 1, 2022 03:33
Fix virtualenv symlinks after upgrading python with Homebrew and running brew cleanup
#!/usr/bin/env bash
#
# Fix virtualenv symlinks after upgrading python with Homebrew and then running
# `cleanup`.
#
# After upgrading Python using Homebrew and then running `brew cleanup` one can
# get this message while trying to run python:
# dyld: Library not loaded: @executable_path/../.Python
# Referenced from: /Users/pablo/.venv/my-app/bin/python
# Reason: image not found
@flyyufelix
flyyufelix / readme.md
Last active August 5, 2022 15:20
Resnet-152 pre-trained model in Keras

ResNet-152 in Keras

This is an Keras implementation of ResNet-152 with ImageNet pre-trained weights. I converted the weights from Caffe provided by the authors of the paper. The implementation supports both Theano and TensorFlow backends. Just in case you are curious about how the conversion is done, you can visit my blog post for more details.

ResNet Paper:

Deep Residual Learning for Image Recognition.
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
arXiv:1512.03385