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subpath / berlin_kitas.csv
Last active July 22, 2024 10:09
Berlin's Kitas with addresses and emails (csv file with ";" as separator)
We can make this file beautiful and searchable if this error is corrected: It looks like row 3 should actually have 1 column, instead of 4 in line 2.
address;name;type;postcode;phone;email;educational;topics;languages;lat;lon
Wartenburgstr. 7;Ev. Kirchengemeinde Jesus-Christus;Kindertagesstätte;10963;030216 30 87;[email protected];;;;52.49654;13.38089
Wilhelmstr. 15;Trauminsel e.V.;Eltern-Initiativ-Kindertagesstätte;10963;030-25923697;[email protected];Situationsansatz;Ästhetische Bildung (Musik und Kunst), Gesundheit, Interkulturelle Pädagogik, Körper und Bewegung;deutsch - arabisch;52.50275;13.38865
Wilhelmstr. 54;Kinder im Kiez gGmbH;Kindertagesstätte;10963;030208 92 14;[email protected];;;;52.4985969;13.3783562
Dessauer Str. 27;Orte für Kinder GmbH;Kindertagesstätte;10963;0302639 7930;[email protected];;;;52.50369999999999;13.3791
Hornstr. 13;EMMA gemeinnützige GmbH;Kindertagesstätte;10963;03054849986;[email protected];Montessori-Pädagogik;;;52.49478;13.38017
Wilhelmstr. 3;Trauminsel e.V.;Eltern-Initiativ-Kindertagesstätte;10963;030-25938954;[email protected];Situationsansatz;Ästhetische Bildung (Musik und Ku
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subpath / iterm2-solarized.md
Created June 10, 2021 18:18 — forked from andyyou/iterm2-solarized.md
iTerm2 + oh my zsh + solarized + Meslo powerline font (OSX)

Solarized

package com.mypackage.mytasks
import com.mypackage.mytasks.IO
import com.mypackage.mytasks.MyObject.runSparkTransformations
import org.apache.spark.sql.{DataFrame, SparkSession}
import org.mockito.ArgumentMatchers._
import org.mockito.{ArgumentCaptor, MockitoSugar}
import org.scalatest.flatspec.AnyFlatSpec
import org.scalatest.matchers.should.Matchers
package com.mypackage.mytasks
// for the sake of example let's imagine that you have IO common functions
import com.mypackage.mytasks.IO
import org.apache.spark.sql.{SparkSession, DataFrame}
object MyObject {
def my_transformation(dataInputPath:String, dataOutputPath:String){
def runSparkTransformations(): Unit = {
val spark = SparkSession.builder
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subpath / understanding-word-vectors.ipynb
Created August 14, 2020 11:01 — forked from aparrish/understanding-word-vectors.ipynb
Understanding word vectors: A tutorial for "Reading and Writing Electronic Text," a class I teach at ITP. (Python 2.7) Code examples released under CC0 https://creativecommons.org/choose/zero/, other text released under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/
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subpath / Bayesian_example_2.ipynb
Last active October 21, 2019 07:15
Bayesian_example_2.ipynb
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subpath / Gale-Shapley.ipynb
Last active November 16, 2023 22:07
Gale-Shapley algorithm
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