Nish NISH1001

FWIW: I (@rondy) am not the creator of the content shared here, which is an excerpt from Edmond Lau's book. I simply copied and pasted it from another location and saved it as a personal note, before it gained popularity on news.ycombinator.com. Unfortunately, I cannot recall the exact origin of the original source, nor was I able to find the author's name, so I am can't provide the appropriate credits.

Effective Engineer - Notes

By Edmond Lau
Highly Recommended 👍
http://www.theeffectiveengineer.com/

What's an Effective Engineer?

Awesome Courses

Introduction

There is a lot of ~~hidden~~ treasure lying within university pages scattered across the internet. This list is an attempt to bring to light those awesome courses which make their high-quality material i.e. assignments, lectures, notes, readings & examinations available online for free.

Automated Conda Setup

Michelle L. Gill
Updated: 2017/05/20

Regularly updated Gist located here.

This bash script will download and setup a Conda environment on Mac OS X or Linux using a specified Python version (2.7, 3.6) and packages. The Conda installation path and environment name can also be specified. All settings are input at the beginning of the script (see below).

If the Conda directory exists and can be determined to be a Conda installation, a new environment will be created. If the directory does exist but does not appear to be a Conda installation, the script will quit to avoid accidentally overwriting a file.

	#!/bin/bash
	# Play and download the youtube video simultaneously
	# Author: Samunddra
	# Update Date: 2016-12-14 16:29:14 PM
	#
	# Use `screen` to play it in the background, fork screen process and exit, enjoy
	#
	# DEPENDENCIES
	# - sudo apt install -y jq mplayer youtube-dl
	#

	android.permission.ACCESS_ALL_DOWNLOADS
	android.permission.ACCESS_BLUETOOTH_SHARE
	android.permission.ACCESS_CACHE_FILESYSTEM
	android.permission.ACCESS_CHECKIN_PROPERTIES
	android.permission.ACCESS_CONTENT_PROVIDERS_EXTERNALLY
	android.permission.ACCESS_DOWNLOAD_MANAGER
	android.permission.ACCESS_DOWNLOAD_MANAGER_ADVANCED
	android.permission.ACCESS_DRM_CERTIFICATES
	android.permission.ACCESS_EPHEMERAL_APPS
	android.permission.ACCESS_FM_RADIO

	import numpy as np

	def sum_vecs(embed,text):

	tokens = text.split(' ')
	vec = np.zeros(embed.W.shape[1])

	for idx, term in enumerate(tokens):
	if term in embed.vocab:
	vec = vec + embed.W[embed.vocab[term], :]

	import numpy as np
	from sklearn.svm import SVC
	from sklearn.decomposition import PCA
	from sklearn.cross_validation import train_test_split

	from sklearn.grid_search import GridSearchCV
	from sklearn.metrics import classification_report

	import matplotlib.pyplot as plt
	import pickle

	class Embedding(object):
	def __init__(self,vocab_file,vectors_file):
	with open(vocab_file, 'r') as f:
	words = [x.rstrip().split(' ')[0] for x in f.readlines()]

	with open(vectors_file, 'r') as f:
	vectors = {}
	for line in f:
	vals = line.rstrip().split(' ')
	vectors[vals[0]] = [float(x) for x in vals[1:]]

	// Since `overlapArea` function is monotonic increasing, we can perform a
	// simple bisection search to find the distance that leads to an overlap
	// area within epsilon of the desired overlap.
	function distanceForOverlapArea(r1, r2, desiredOverlap) {
	// Ensure r1 <= r2
	if (r1 > r2) {
	var temp = r2;
	r2 = r1;
	r1 = temp;
	}