elipousson

library(sf)
library(mapbaltimore)
library(tidyverse)

map_theme <- ggplot2::theme(
    panel.grid.major = ggplot2::element_line(color = "transparent"),
    axis.title = ggplot2::element_text(color = "transparent"),
    axis.text = ggplot2::element_text(color = "transparent")
  )

emmanuelnk

How to install PyGrib with ECCodes (Python 3.6.5, Ubuntu 19, 18, 16, RHEL, Lambda, Linux AMI, Docker)

[ last_updated: 07-JAN-2020 ]

Recently I've had to work with Meterological data of the GRIB format. Needless to say, if you're reading this, you probably know how hard it is to get a library that can read them and even harder, setting up those libraries. Pygrib for python is by far the best library for reading grib files but the installation can leave you dizzy

In this tutorial I use Ubuntu 18 and python 3.6.5 virtualenv. Note: You don't have to use virtualenv Python. You can just as well use your system Python 3 however I personally find virtualenv a clean way to deal with these kind of complicated setups (prevents me mucking up my system's Python). This setup should also work with lower and higher Ubuntu versions (as someone below mentioned) and other Linux distros (like RHEL - AWS Linux AMI etc). The key to this installation is to build eccodes correctly (for your machine architecture) and succe

stuartlangridge

<?php

// get this data by logging into icloud.com on the calendars page and looking at the dev tools
// as per https://translate.google.com/translate?sl=de&tl=en&js=y&prev=_t&hl=de&ie=UTF-8&u=http%3A%2F%2Fnico-beuermann.de%2Fblogging%2Farchives%2F115-Zugriff-auf-iCloud-Kalender-mit-Thunderbird.html&edit-text=&act=url
$account = array(
    'server'   => '', // note, this will be p12 or something, not P0; see the server that iclod.com serves json from
    'icloudid' => '', // the "dsid"
    'appleid'  => '', // your Apple ID; will be an email address
    'pass'     => '', // password for your Apple ID
    'calid'    => '' // the "pGuid"

calebd

extension Array {
    
    func first() -> Element? {
        if isEmpty {
            return nil
        }
        return self[0]
    }
    
    func last() -> Element? {

Inferis

import UIKit
import QuartzCore

class ViewController: UIViewController {

    @IBOutlet weak var label: UILabel
    @IBOutlet weak var counter: UILabel

    override func viewDidLoad() {
        super.viewDidLoad()

mattt

static NSString * BCP47LanguageCodeFromISO681LanguageCode(NSString *ISO681LanguageCode) {
    if ([ISO681LanguageCode isEqualToString:@"ar"]) {
        return @"ar-SA";
    } else if ([ISO681LanguageCode hasPrefix:@"cs"]) {
        return @"cs-CZ";
    } else if ([ISO681LanguageCode hasPrefix:@"da"]) {
        return @"da-DK";
    } else if ([ISO681LanguageCode hasPrefix:@"de"]) {
        return @"de-DE";
    } else if ([ISO681LanguageCode hasPrefix:@"el"]) {

adrianseeley

function gnn (cases, wide, tall, population, iterations, error_fn, error_thresh) {
	var inputs = cases[0][0].length;
	var outputs = cases[0][1].length;
	// declare net, provide input layer
	var net = [new Array(inputs)];
	// create input neurons in input layer
	for (var i = 0; i < inputs; i++) 
		net[0][i] = {output: 0}
	// create hidden layers
	for (var x = 0; x < wide; x++) {

debasishg

General Background and Overview

1. Probabilistic Data Structures for Web Analytics and Data Mining : A great overview of the space of probabilistic data structures and how they are used in approximation algorithm implementation.
2. Models and Issues in Data Stream Systems
3. Philippe Flajolet’s contribution to streaming algorithms : A presentation by Jérémie Lumbroso that visits some of the hostorical perspectives and how it all began with Flajolet
4. Approximate Frequency Counts over Data Streams by Gurmeet Singh Manku & Rajeev Motwani : One of the early papers on the subject.
5. [Methods for Finding Frequent Items in Data Streams](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.187.9800&rep=rep1&t

bradmontgomery

Setting up a SSL Cert from Comodo

I use Namecheap.com as a registrar, and they resale SSL Certs from a number of other companies, including Comodo.

These are the steps I went through to set up an SSL cert.

Purchase the cert

jcrudy

from scipy.stats.kde import gaussian_kde
import pymc
from math import log
from matplotlib import pyplot

def KernelSmoothing(name, dataset, bw_method=None, lower=float('-inf'), upper=float('inf'), observed=False, value=None):
    '''Create a pymc node whose distribution comes from a kernel smoothing density estimate.'''
    density = gaussian_kde(dataset, bw_method)
    lower_tail = 0
    upper_tail = 0