kurhula

mkdir temp && cd temp

# for linux 'amd64' architecture install those packages:
sudo apt-get install libx11-6:i386 libpam0g:i386 libstdc++5:i386 lib32z1 lib32ncurses5 lib32bz2-1.0

wget https://vpnportal.aktifbank.com.tr/SNX/INSTALL/snx_install.sh
sudo ./snx_install.sh

cd .. && rm -rf temp/

kurhula

# Setting Up ExpressVPN (OpenVPN) On OSMC

## References

- [Brian Hornsby' Kodi OpenVPN plugin](http://brianhornsby.com/blog/how-to-setup-your-vpn-client)
- [Install and Configure OpenVPN on OSMC/Kodi](https://nerddrivel.com/2016/03/25/install-and-configure-openvpn-on-osmckodi/)
- [ExpressVPN - High speed, ultra secure, and easy to use. Instant setup.](https://www.expressvpn.com/)
- [[HOWTO] OSMC/Rasp Pi as OpenVPN client](https://discourse.osmc.tv/t/howto-osmc-rasp-pi-as-openvpn-client/1844/71)

## Steps

kurhula

This is an incomplete, ever-changing curated list of content to assist people into the worlds of Data Science and Machine Learning. If you have a recommendation for something to add, please let me know. If something isn't here, it doesn't mean I don't recommend it, I just may not have had a chance to review it yet or not.

I will generally list things in order of easier to more formal/challenging content.

It may feel like there is an overwhelming amount of stuff for you to learn (because there is). But, there is a guided path that will get you there in time. You need to focus on Linear Algebra, Calculus, Statistics and probably Python (or R). Your best bet is to get a Safari Books Online account (https://www.safaribooksonline.com) which you may already have access to through school or work. If not, it is a reasonable way to get access to a tremendous number of books and videos.

I'm not saying you will get what you need out of everything here, but I have read/watched at least some of all of the following an

kurhula

kurhula

library(dplyr)
library(tidyr)

# 0. Empty all variables
rm(list=ls())

# 1. Load Data
data <- read.csv('input/data.csv', header=FALSE, stringsAsFactors=FALSE, sep = ';', dec = '.')

# 2. Prepare Data

kurhula

census; 1996; 2001; 2006; 2011
wards; 36; 36; 38; 40
populations; 531653; 584539; 602819; 618464
population; 12780, 12267, 16584, 12785, 14453, 17443, 13699, 13764, 16605, 14002, 17264, 13004, 12439, 644, 19461, 11629, 17656, 23132, 21474, 15032, 17039, 5356, 8432, 17443, 22201, 17446, 18944, 8077, 20853, 17736, 16023, 1447, 10835, 14748, 7591, 18339;  15066, 17753, 15530, 13912, 14266, 20158, 13496, 14842, 17981, 16566, 16600, 15539, 12634, 12254, 17596, 15319, 20774, 27486, 24983, 16285, 20881, 15343, 16313, 18628, 21050, 16845, 7925, 15482, 15057, 17069, 16344, 13491, 13408, 15130, 6305, 16228; ; 17417, 11933, 14672, 15212, 16744, 15414, 18247, 14063, 14099, 14413, 17023, 14465, 17665, 15102, 17898, 12625, 12757, 16212, 16062, 17074, 19237, 16386, 16551, 18714, 15326, 14539, 17107, 13437, 16855, 12995, 12876, 14492, 16988, 15064, 17693, 16665, 14326, 14672, 13380, 12064

kurhula

#!/usr/bin/env bash
cd ~/IndiaProjects/dw-vagrant/datawinners
git stash
git pull --rebase
git stash pop
cd ~/IndiaProjects/dw-vagrant/datawinners/enketo-core
git stash
git pull --rebase
git stash pop
cd ~/IndiaProjects/dw-vagrant/mangrove/

kurhula

# vim: ai ts=4 sts=4 et sw=4 encoding=utf-8
import os

SITE_ID = 1
DATABASES = {
    'default': {
        'ENGINE': 'django.contrib.gis.db.backends.postgis',  # Add 'postgresql_psycopg2', 'postgresql', 'mysql', 'sqlite3' or 'oracle'.
        'NAME': 'mangrove',                      # Or path to database file if using sqlite3.
        'USER': os.getenv("USER"),                      # Not used with sqlite3.
        'PASSWORD': '',                  # Not used with sqlite3.

kurhula

git clone git@github.com:LocalDigital/madyondza-cms-dictionary.git dictionary
cd dictionary
virtualenv venv
source venv/bin/activate
pip install -r requirements.txt
# install postgres if not installed
postgres -D /usr/local/var/postgres
# install foreman if not installed
foreman start

kurhula

cd ~/workspace/datawinners
source ~/virtual_env/datawinners/bin/activate
git stash
git pull --rebase
git stash pop
cd enketo-core
git stash
git pull --rebase
git stash pop
cd ~/virtual_env/datawinners/src/mangrove/