Map | Action |
---|---|
<F1> | Causes Netrw to issue help |
<cr> | Netrw will enter the directory or read the file |
<del> | Netrw will attempt to remove the file/directory |
- | Makes Netrw go up one directory |
a | Toggles between normal display, hiding (suppress display of files matching g:netrw_list_hide) showing (display only files which match g:netrw_list_hide) |
c | Make browsing directory the current directory |
C | Setting the editing window |
d | Make a directory |
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def from_sklearn(docs,vect,lda,**kwargs): | |
"""Create Prepared Data from sklearn's vectorizer and Latent Dirichlet | |
Application | |
Parameters | |
---------- | |
docs : Pandas Series. | |
Documents to be passed as an input. | |
vect : Scikit-Learn Vectorizer (CountVectorizer,TfIdfVectorizer). |
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#!/usr/bin/env bash | |
#Code adapted from https://gist.github.com/yangj1e/3641843c758201ebbc6c (Modified to Python3.5) | |
cd ~ | |
#wget https://3230d63b5fc54e62148e-c95ac804525aac4b6dba79b00b39d1d3.ssl.cf1.rackcdn.com/Anaconda2-2.4.0-Linux-x86_64.sh | |
wget https://3230d63b5fc54e62148e-c95ac804525aac4b6dba79b00b39d1d3.ssl.cf1.rackcdn.com/Anaconda3-2.4.1-Linux-x86_64.sh | |
bash Anaconda3-2.4.1-Linux-x86_64.sh -b | |
echo 'PATH="/home/ubuntu/anaconda3/bin:$PATH"' >> .bashrc | |
. .bashrc |
This hit #rstats
today:
Has anyone made a dumbbell dot plot in #rstats, or better yet exported to @plotlygraphs using the API? https://t.co/rWUSpH1rRl
— Ken Davis (@ken_mke) October 23, 2015
<script async src="//platform.twitter.com/widgets.js" charset="utf-8"></script>
So, I figured it was worth a cpl mins to reproduce.
While the US gov did give the data behind the chart it was all the data and a pain to work with so I used WebPlotDigitizer to transcribe the points and then some data wrangling in R to clean it up and make it work well with ggplot2.
It is possible to make the top "dumbbell" legend in ggplot2 (but not by using a guide) and color the "All Metro A
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""" | |
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy) | |
BSD License | |
""" | |
import numpy as np | |
# data I/O | |
data = open('input.txt', 'r').read() # should be simple plain text file | |
chars = list(set(data)) | |
data_size, vocab_size = len(data), len(chars) |
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########################################## | |
# To run: | |
# curl -sSL https://gist.githubusercontent.com/sirkkalap/e87cd580a47b180a7d32/raw/d9c9ebae4f5cf64eed4676e8aedac265b5a51bfa/Install-Docker-on-Linux-Mint.sh | bash -x | |
########################################## | |
# Check that HTTPS transport is available to APT | |
if [ ! -e /usr/lib/apt/methods/https ]; then | |
sudo apt-get update | |
sudo apt-get install -y apt-transport-https | |
fi |
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import json | |
import urlparse | |
from itertools import chain | |
flatten = chain.from_iterable | |
from nltk import word_tokenize | |
from gensim.corpora import Dictionary | |
from gensim.models.ldamodel import LdaModel | |
from gensim.models.tfidfmodel import TfidfModel |
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''' | |
Non-parametric computation of entropy and mutual-information | |
Adapted by G Varoquaux for code created by R Brette, itself | |
from several papers (see in the code). | |
This code is maintained at https://github.com/mutualinfo/mutual_info | |
Please download the latest code there, to have improvements and | |
bug fixes. |
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# Ask for the user password | |
# Script only works if sudo caches the password for a few minutes | |
sudo true | |
# Install kernel extra's to enable docker aufs support | |
# sudo apt-get -y install linux-image-extra-$(uname -r) | |
# Add Docker PPA and install latest version | |
# sudo apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys 36A1D7869245C8950F966E92D8576A8BA88D21E9 | |
# sudo sh -c "echo deb https://get.docker.io/ubuntu docker main > /etc/apt/sources.list.d/docker.list" |
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example.md: example.Rmd | |
./knit | |
example.ipynb: example.md | |
notedown example.md | sed 's/%%r/%%R/' > example.ipynb |