subpath
/ berlin_kitas.csv
Last active
May 27, 2024 13:24
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.
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| address;name;type;postcode;phone;email;educational;topics;languages;lat;lon | |
| Wartenburgstr. 7;Ev. Kirchengemeinde Jesus-Christus;Kindertagesstätte;10963;030216 30 87;Kita@jckg.berlin;;;;52.49654;13.38089 | |
| Wilhelmstr. 15;Trauminsel e.V.;Eltern-Initiativ-Kindertagesstätte;10963;030-25923697;trauminsel.ev@hotmail.de;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;franzoesischestrasse@kinder-im-kiez.de;;;;52.4985969;13.3783562 | |
| Dessauer Str. 27;Orte für Kinder GmbH;Kindertagesstätte;10963;0302639 7930;traumbaum@ortefuerkinder.de;;;;52.50369999999999;13.3791 | |
| Hornstr. 13;EMMA gemeinnützige GmbH;Kindertagesstätte;10963;03054849986;post@EMMAAPFEL.de;Montessori-Pädagogik;;;52.49478;13.38017 | |
| Wilhelmstr. 3;Trauminsel e.V.;Eltern-Initiativ-Kindertagesstätte;10963;030-25938954;trauminsel.ev@hotmail.de;Situationsansatz;Ästhetische Bildung (Musik und Ku |
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)
subpath
/ MyObjectSpec.scala
Last active
May 29, 2021 11:03
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| 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 |
subpath
/ MyObject.scala
Last active
May 29, 2021 11:02
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| 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 |
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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/ Stat_exercise.ipynb
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October 21, 2019 15:09
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subpath
/ Bayesian_example_1.ipynb
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October 27, 2019 15:23
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subpath
/ How_to_compare_features.ipynb
Created
September 3, 2019 17:36
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