This is a collection of information on PostgreSQL and PostGIS for what I tend to use most often.
# Some good references are: | |
# http://russbrooks.com/2010/11/25/install-postgresql-9-on-os-x | |
# http://www.paolocorti.net/2008/01/30/installing-postgis-on-ubuntu/ | |
# http://postgis.refractions.net/documentation/manual-1.5/ch02.html#id2630392 | |
#1. Install PostgreSQL postgis and postgres | |
brew install postgis | |
initdb /usr/local/var/postgres | |
pg_ctl -D /usr/local/var/postgres -l /usr/local/var/postgres/server.log start |
I'm really trying not to be rude but the number of recruiter spam I'm getting is really becoming irritating. For future reference: | |
a) Don't email me an opportunity off the back of a key word search. Check out my cv or linkedin profile before forwarding opportunities. It really shows a complete lack of effort on your part | |
b) I've dealt with a lot of recruiters in my time. A £500 referral fee in pathetic considering the potential fee your company receives on each placement. | |
Going forward, I'll be telling my network of technical people about every recruiter/recruitment company which clearly isn't concerned about the level of service they provide and shows a distinct lack of effort when it comes to matching potential candidates to a role. As you know, the London tech scene is very similar to the game 'six degrees of kevin bacon' - word gets around. | |
I hope this provides some insight and helps with future placements. | |
Kind Regards |
This document is research for the selection of a communication platform for robot-net.
The purpose of this component is to enable rapid, reliable, and elegant communication between the various nodes of the network, including controllers, sensors, and actuators (robot drivers). It will act as the core of robot-net to create a standardized infrastructure for robot control.
Requirements:
""" | |
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) |
##VGG16 model for Keras
This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.
It has been obtained by directly converting the Caffe model provived by the authors.
Details about the network architecture can be found in the following arXiv paper:
Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan, A. Zisserman
""" | |
A bare bones examples of optimizing a black-box function (f) using | |
Natural Evolution Strategies (NES), where the parameter distribution is a | |
gaussian of fixed standard deviation. | |
""" | |
import numpy as np | |
np.random.seed(0) | |
# the function we want to optimize |
If you haven’t worked with JavaScript in the last few years, these three points should give you enough knowledge to feel comfortable reading the React documentation:
- We define variables with
let
andconst
statements. For the purposes of the React documentation, you can consider them equivalent tovar
. - We use the
class
keyword to define JavaScript classes. There are two things worth remembering about them. Firstly, unlike with objects, you don't need to put commas between class method definitions. Secondly, unlike many other languages with classes, in JavaScript the value ofthis
in a method [depends on how it is called](https://developer.mozilla.org/en-US/docs/Web/Jav