bjpcjp

denominator = @xs.reduce(0) do |sum, x|
  sum + ((x - x_mean) ** 2)
end

bjpcjp

1) Make a download dir to store the node source and download it.

    mkdir downloads
    cd downloads
    git clone https://github.com/joyent/node.git
    Find the latest version

2) List all of the tags in the repository, and check out the most recent.
    git tag
    git checkout v0.9.9

bjpcjp

import scrapy

class StackOverflowSpider(scrapy.Spider):
	name = 'stackoverflow'
	start_urls = ['http://stackoverflow.com/questions?sort=votes']

	def parse(self, response):

		for href in response.css('.question-summary h3 a::attr(href)'):

bjpcjp

# source: http://multithreaded.stitchfix.com/blog/2016/01/13/market-watch/
# https://github.com/klarsen1/MarketMatching

# from terminal command line:
    sudo apt-get install libcurl4-openssl-dev

# from R command line:
# install CausalImpact package:

    install.packages("devtools")

bjpcjp

# How to build your own NN classifier in r
# source: http://www.r-bloggers.com/build-your-own-neural-network-classifier-in-r/
# reference: http://junma5.weebly.com/data-blog/build-your-own-neural-network-classifier-in-r

# project:
# 1) build simple NN with 2 fully-connected layers
# 2) use NN to classify a dataset of 4-class 2D images & visualize decision boundary.
# 3) train NN with MNIST dataset

# ref: stanford CS23 source: http://cs231n.github.io/

bjpcjp

import sys
reload(sys)
sys.setdefaultencoding("utf-8")
import requests
import bs4
import zipcode
import threading
import re
import json
import time

bjpcjp

import dash
import dash_core_components as dcc 
import dash_html_components as html 

external_stylesheets = ['https://codepen.io/chriddyp/pen/bWLwgP.css']

app = dash.Dash(__name__, external_stylesheets=external_stylesheets)

app.layout = html.Div(children=[
    html.H1(children='Hello Dash'),

bjpcjp

Original notes by James Clear

• Do the math yourself. Too many people take numbers from unreliable sources.

• There are 4 levels of learning: Awareness, Awkwardness, Application, Assimilation

• Customer-Solution Profit: Know your customers incredibly well and create a solution specifically for them.

bjpcjp

Bundler, the underlying system Vagrant uses to install plugins,
reported an error. The error is shown below. These errors are usually
caused by misconfigured plugin installations or transient network
issues. The error from Bundler is:

conflicting dependencies fog-core (~> 1.43.0) and fog-core (= 1.45.0)
  Activated fog-core-1.45.0
  which does not match conflicting dependency (~> 1.43.0)

  Conflicting dependency chains:

bjpcjp

	31: from -e:1:in `<main>'
	30: from /home/<myname>/.rbenv/versions/2.5.1/lib/ruby/site_ruby/2.5.0/rubygems/core_ext/kernel_require.rb:72:in `require'
	29: from /home/<myname>/.rbenv/versions/2.5.1/lib/ruby/site_ruby/2.5.0/rubygems/core_ext/kernel_require.rb:72:in `require'
	28: from /home/<myname>/.rbenv/versions/2.5.1/lib/ruby/gems/2.5.0/gems/bootsnap-1.4.6/lib/bootsnap/load_path_cache/core_ext/kernel_require.rb:55:in `load'
	27: from /home/<myname>/.rbenv/versions/2.5.1/lib/ruby/gems/2.5.0/gems/bootsnap-1.4.6/lib/bootsnap/load_path_cache/core_ext/kernel_require.rb:55:in `load'
	26: from /home/<myname>/projects/ideas/factory-inabox/v20200501/bin/rails:9:in `<top (required)>'
	25: from /home/<myname>/.rbenv/versions/2.5.1/lib/ruby/gems/2.5.0/gems/zeitwerk-2.3.0/lib/zeitwerk/kernel.rb:23:in `require'
	24: from /home/<myname>/.rbenv/versions/2.5.1/lib/ruby/gems/2.5.0/gems/bootsnap-1.4.6/lib/bootsnap/load_path_cache/core_ext/kernel_require.rb:31:in `require'
	23: from /home/<myname>/.rbenv/versions/2.5.1/lib/ru