swayson

SA Online 'Maker' Resources

Johan Beyers has a great list of resources as well. http://johan.beyers.co.za/pages/resources.html

Links to various South African online stores that may be useful to anyone 'making' things.

Name	URL	Notes
Netram	http://www.netram.co.za	Electronics, Quad Copters, Robotics, CNC, 3D Printing
Hobby Tronics	http://www.hobbytronics.co.za	CNC Parts, Aluminium Extrusion, Electronics

Module autoreload

To auto-reload modules in jupyter notebook (so that changes in files *.py doesn't require manual reloading):

# for auto-reloading external modules
# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython
%load_ext autoreload
%autoreload 2

Build docker image

$ cd /path/to/Dockerfile
$ sudo docker build .

View running processes

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

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

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

	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).

	#!/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