pollardld

import numpy as np
from PIL import Image
import cv2
import dlib

# Load the image
image_path = "/mnt/data/me.jpeg"
image = Image.open(image_path)

# Convert the image to OpenCV format

pollardld

There are:

• 100M users/authors
• 20M papers
• 2M topics

The typical user has:

• 1k followers
• 2k followees
• 10 topics that they follow
• 30 papers uploaded

pollardld

Add this into your Vagrantfile:

module OS
    def OS.windows?
        (/cygwin|mswin|mingw|bccwin|wince|emx/ =~ RUBY_PLATFORM) != nil
    end

    def OS.mac?
 (/darwin/ =~ RUBY_PLATFORM) != nil

pollardld

Cookbook

Table of Contents

• Algorithms
• Classifications
• Data Structures
• Git
• HTML
• JavaScript

pollardld

import subprocess

# Convert GeoJSON to GeoTIFF
# ATTRIBUTE_FIELD = ?
subprocess.run([
    "gdal_rasterize",
    "-a", "ATTRIBUTE_FIELD",
    "-ts", "WIDTH", "HEIGHT",
    "-l", "LAYER_NAME",
    "i.geojson",

pollardld

import subprocess

# Step 2: Convert GeoJSON to GeoTIFF
# ATTRIBUTE_FIELD = ?
subprocess.run([
    "gdal_rasterize",
    "-a", "ATTRIBUTE_FIELD",
    "-ts", "WIDTH", "HEIGHT",
    "-l", "LAYER_NAME",
    "i.geojson",

pollardld

rel

<a rel="value">

<a rel="alternate">Print page, translated, mirror, etc.</a>
<a rel="author">creator credit</a>
<a rel="bookmark">permanent url</a>

pollardld

Check if a number is a perfect square

import math

number = int(input())
square_number = int(math.sqrt(number))

if (number == square_number * square_number):
    print("perfect square: %d * %d = %d"%(square_number,square_number,number))
else:

pollardld

iTerm2 Shell Integration Commands

imgcat filename
  Displays the image inline.
imgls
  Shows a directory listing with image thumbnails.
it2api
 Command-line utility to manipulate iTerm2.

pollardld

Stump weights (𝐰̂) and data point weights (𝛼) are two different concepts. Stump weights (𝐰̂) tell you how important each stump is while making predictions with the entire boosted ensemble. Data point weights (𝛼) tell you how important each data point is while training a decision stump.