abrie

def extract():
    df = pd.read_csv("data.csv")
    df = df.drop(columns='Unnamed: 0')
    data = df.to_numpy()
    return (data[:, 0:-1], data[:, -1])

def run():
    days, target = extract()

    # Compute a linear fit for the data.

abrie

{
  "members": [
    {
      "name":"abrie",
      "github_username":"abrie",
      "gist_id":"418d0d9e4d3158ebca2cc37dbe1696ee"
    },
    {
      "name":"Chris",
      "github_username":"gitchrisadams",

abrie

{
"avatar": "https://abrie.dev/webdevatlanta-avatar.png",
"status": "Inventive, conversant, disciplined, lazy, bumptious."
}

abrie

Keybase proof

I hereby claim:

• I am abrie on github.
• I am abrie (https://keybase.io/abrie) on keybase.
• I have a public key whose fingerprint is 8D46 89FB 19A4 0DBF 80F5 1508 F38B C75B DBCB 4623

To claim this, I am signing this object:

abrie

var s = JSON.parse(window.localStorage.getItem('boardStates'));
extras['rain'] = true;
s.rain = true;
window.localStorage.setItem('boardStates', JSON.stringify(s));

abrie

package ca.goeiebook.gists;

import android.content.Context;
import android.database.sqlite.SQLiteCantOpenDatabaseException;
import android.database.sqlite.SQLiteDatabase;
import android.database.sqlite.SQLiteOpenHelper;

import com.google.common.io.ByteStreams;

import java.io.File;

abrie

/**
 * Created on 2015-11-19, abrie.
 *
 * Java implementation of a Sphere mesh generator. This produces vertices for
 * representing a sphere in three dimensional space, along with a color for each vertex
 * and a list of indicies for representing the vertices as triangles. The generated
 * data is suitable for uploading as OpenGL buffers, renderable as an Element Array. The
 * algorithm is based on an implementation found in ThreeJS.
 * 
 * We make use of a generic ListBuilder helper class to build the buffers with natural

abrie

/**
 *  Created by abrie on 2015-11-01.
 *
 *  Java implementation of a Dynamic Programming approach to the Linear Partition Algorithm
 *   AKA 'The Easiest Hard Problem': https://en.wikipedia.org/wiki/Partition_problem
 *
 *  Adapted from the python implementation described here: http://stackoverflow.com/a/7942946
 *   and on Skiena's description in 'The Algorithm Design Manual':
 *   https://www8.cs.umu.se/kurser/TDBA77/VT06/algorithms/BOOK/BOOK2/NODE45.HTM
 *