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Tabs and Windows

Function	Shortcut
New Tab	⌘ + T
Close Tab or Window	⌘ + W (same as many mac apps)
Go to Tab	⌘ + Number Key (ie: ⌘2 is 2nd tab)
Go to Split Pane by Direction	⌘ + Option + Arrow Key
Cycle iTerm Windows	⌘ + backtick (true of all mac apps and works with desktops/mission control)

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Applied Functional Programming with Scala - Notes

Copyright © 2016-2018 Fantasyland Institute of Learning. All rights reserved.

1. Mastering Functions

A function is a mapping from one set, called a domain, to another set, called the codomain. A function associates every element in the domain with exactly one element in the codomain. In Scala, both domain and codomain are types.

val square : Int => Int = x => x * x

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// This file was initially generated by Windows Terminal 0.11.1121.0
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// and let us generate a new one for you.

// To view the default settings, hold "alt" while clicking on the "Settings" button.
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{
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What is this?

Following this guide will set up a local Elasticsearch with Kibana and Marvel using Homebrew and Homebrew Cask

Prerequisites

If you already have Java installed on your system, skip steps Install Cask and Install Java

If you already have Java and Homebrew installed on your system, skip steps Prerequisites, start at Install Elasticsearch and Kibana after running $ brew update

Install Homebrew

• $ ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"

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# keys taken from https://software.intel.com/en-us/articles/installing-intel-free-libs-and-python-apt-repo
cd ~/GitHub/r-with-intel-mkl/
wget https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS-2019.PUB
apt-key add GPG-PUB-KEY-INTEL-SW-PRODUCTS-2019.PUB

sudo sh -c 'echo deb https://apt.repos.intel.com/mkl all main > /etc/apt/sources.list.d/intel-mkl.list'
sudo apt-get update && sudo apt-get install intel-mkl-64bit

# alternative (works well on Ubuntu 16.04)
cd ~/GitHub/r-with-intel-mkl/

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Table of Contents

• 1. Installation
  • 1.1. Mount USB
  • 1.2. Connect to Wifi
  • 1.3. Update system clock
  1.4. Determine correct disk (assuming /dev/sda)

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Build tensorflow on OSX with NVIDIA CUDA support (GPU acceleration)

These instructions are based on Mistobaan's gist but expanded and updated to work with the latest tensorflow OSX CUDA PR.

Requirements

OS X 10.10 (Yosemite) or newer

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##VGG19 model for Keras

This is the Keras model of the 19-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

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#!/bin/bash
# Patrick Wieschollek

# =============================================================
# UPDATE SOURCE
# =============================================================
git checkout -- .
git pull origin master

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# http://askubuntu.com/questions/505446/how-to-install-ubuntu-14-04-with-raid-1-using-desktop-installer
# http://askubuntu.com/questions/660023/how-to-install-ubuntu-14-04-64-bit-with-a-dual-boot-raid-1-partition-on-an-uefi%5D

sudo -s
apt-get -y install mdadm
apt-get -y install grub-efi-amd64
sgdisk -z /dev/nvme0n1
sgdisk -z /dev/nvme1n1
sgdisk -n 1:0:+300M -t 1:ef00 -c 1:"EFI System" /dev/nvme1n1
sgdisk -n 2:0:0 -t 2:fd00 -c 2:"Linux RAID" /dev/nvme1n1