View inspect.js
// Uses underscore.js to wrap a function and upon calling | |
// prints the function source and the argument. | |
// Useful for debugging chains of promises. | |
// USAGE | |
// var myfunction = function(argument) {...}; | |
// myfunction = inspect(myfunction); // myfunction is now instrumented | |
var _ = require('underscore'); | |
var util = require('util'); | |
var inspect = function(fnToInspect) { |
View killnode.sh
kill -9 $(ps -ef | grep '[n]ode --debug-brk=5858' | awk '{print $2}') |
View rsync.sh
while true; do rsync -e "ssh -i /PATH/TO/PRIVATE/KEY.pem" -azvh --delete ./LOCAL-REPO/ ec2-user@IP:/REMOTE/PATH; sleep 2; done |
View imagemagick.sh
# resize all files in directory <in> so that the shorter dimension (or both dims) is 64 pixels, then | |
# crop the longer dimension to 64 pixels. | |
magick convert in/* -resize 64x64^ -gravity center -extent 64x64 'out/%06d.jpg' | |
# crop images using find / exec. Find / exec is useful when there are many images and file globs don't work. | |
# Crop to 1150 by 512 at the top, left edge of the image | |
find ./*.jpg -exec magick convert {} -crop 1150x512+0+0 {} \; |
View ssh.sh
# Easy way to remotely access a Jupyter notebook, by forwarding a port | |
# Forward local port 8888 to the remote's localhost port 8888 | |
ssh -L 8888:localhost:8888 user@10.2.2.99 |
View anaconda.txt
# create environment with jupyter | |
conda create -n ENVNAME python=3 jupyter |
View freeze-install.txt
$ pip freeze > requirements.txt | |
$ pip install -r requirements.txt |
View pandas.txt
# rename a dataframe column | |
dataframe = dataframe.rename(index=str, columns={'old_col_name': 'new_col_name'}) | |
# get all possible values for a string / categorical column | |
dataframe[column].value_counts(dropna=False) | |
# group data and count number of rows in a group | |
grouped = dataframe.groupby(color) | |
nreds = len(grouped.get_group('red')) |
View gist:20cfdeb1dd4d90201b24d40a3e5a181d
def estimate(self, X): | |
""" Use saved model to predict/estimate retention probability. | |
Arguments: | |
X (dict): dictionary of features, values. | |
Automatically uses model trained on same set of features as | |
X argument. | |
Returns: | |
List of one element, retention probability. |
View component.story.js
// Dependencies | |
import React from 'react' | |
import { storiesOf } from '@storybook/react' | |
import centered from '@storybook/addon-centered' | |
import { action } from '@storybook/addon-actions' | |
// Local Dependencies | |
import { ComponentDecorator } from 'stories/decorators' | |
import MyComponent from './index' |
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