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Aca te dejo una [lista](https://github.com/jupyter/jupyter/wiki/Jupyter-kernels) con todos los kernels que podrias instalar.\\n\",\n \"\\n\",\n \"Yo instale el kernel de R, [usando esto](https://irkernel.github.io/installation/)\\n\",\n \"\\n\",\n \"Si tenes alguna duda, busca en [Google](www.google.com)\"\n ]\n },\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n \"# Python\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 2,\n \"metadata\": {},\n \"outputs\": [\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"Hola mundo desde Python\\n\"\n ]\n }\n ],\n \"source\": [\n \"s = \\\"Hola mundo desde Python\\\"\\n\",\n \"print(s)\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 10,\n \"metadata\": {},\n \"outputs\": [\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"Yo estoy usando python 3.5.2\\n\"\n ]\n }\n ],\n \"source\": [\n \"import platform\\n\",\n \"print('Yo estoy usando python ' + platform.python_version())\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 11,\n \"metadata\": {},\n \"outputs\": [\n {\n \"name\": \"stdout\",\n \"output_type\": \"stream\",\n \"text\": [\n \"Nueva jornada de ollas populares: Barrios de Pie vuelve a pedir por una ley de emergencia alimentaria\\n\",\n \"http://www.lanacion.com.ar/2069405-nueva-jornada-de-ollas-populares-barrios-de-pie-vuelve-a-pedir-por-una-ley-de-emergencia-alimentaria\\n\",\n \" \\n\",\n \"Las 3 claves del día: el plan de Macri, blanqueo laboral y las cuentas de Lázaro Báez\\n\",\n \"http://tn.com.ar/politica/las-3-claves-del-dia-el-plan-de-macri-blanqueo-laboral-y-las-cuentas-de-lazaro-baez_825124\\n\",\n \" \\n\",\n \"Elisa Carrió habló sobre la candidata acusada por maltrato infantil: \\\"Picetti no va a ser diputada\\\"\\n\",\n \"https://www.infobae.com/politica/2017/10/04/elisa-carrio-hablo-sobre-la-candidata-acusada-por-maltrato-infantil-picetti-no-va-a-ser-diputada/\\n\",\n \" \\n\",\n \"Quedó en libertad el clan Alé, el poderoso y millonario grupo acusado de lavado de activos y extorsión\\n\",\n \"https://www.infobae.com/sociedad/policiales/2017/10/05/quedo-en-libertad-el-clan-ale-el-poderoso-y-millonario-grupo-acusado-de-lavado-de-activos-y-extorsion/\\n\",\n \" \\n\",\n \"Mariano Rajoy exige a Cataluña que no declare la independencia para evitar \\\"males mayores\\\"\\n\",\n \"http://www.lanacion.com.ar/2069424-mariano-rajoy-le-pide-a-cataluna-que-no-declare-la-independencia-para-evitar-males-mayores\\n\",\n \" \\n\",\n \"Indignante negacionismo de Astiz: \\\"Nunca voy a pedir perdón por defender a la patria\\\"\\n\",\n \"http://www.infonews.com/nota/310858/indignante-negacionismo-de-astiz-nunca\\n\",\n \" \\n\",\n \"Otra causa contra Boudou, ahora por falsificar viáticos\\n\",\n \"http://www.eldia.com/nota/2017-10-5-3-45-22-otra-causa-contra-boudou-ahora-por-falsificar-viaticos-el-pais\\n\",\n \" \\n\",\n \"Conocé a que día se traslada el feriado del 12 de octubre\\n\",\n \"http://www.eltribuno.info/salta/nota/2017-10-4-17-47-0-conoce-a-que-dia-se-traslada-el-feriado-del-12-de-octubre\\n\",\n \" \\n\",\n \"Maldonado: \\\"Prefiero que la Justicia trabaje sin declaraciones nuestras\\\"\\n\",\n \"http://www.telam.com.ar/notas/201710/210033-maldonado-patricia-bullrich-justicia-juez-gustavo-lleral.html\\n\",\n \" \\n\",\n \"Arqueólogos afirman haber hallado la tumba del Papá Noel original\\n\",\n \"https://www.infobae.com/america/mundo/2017/10/05/arqueologos-afirman-haber-hallado-la-tumba-del-papa-noel-original/\\n\",\n \" \\n\",\n \"La amenaza de Corea del Norte: el origen de su guerra contra Seúl y la rivalidad con EE.UU.\\n\",\n \"http://www.lanacion.com.ar/2069105-la-amenaza-de-corea-del-norte-el-origen-de-su-guerra-contra-seul-y-la-rivalidad-con-eeuu\\n\",\n \" \\n\",\n \"Las 9 interrogantes que siguen sin respuesta sobre Stephen Paddock y la masacre en Las Vegas\\n\",\n \"https://www.infobae.com/america/eeuu/2017/10/05/las-9-interrogantes-que-siguen-sin-respuesta-sobre-stephen-paddock-y-la-masacre-en-las-vegas/\\n\",\n \" \\n\",\n \"Argentina-Perú, eliminatorias: la selección está ante el reto más traumático en 25 años\\n\",\n \"http://www.lanacion.com.ar/2069398-argentina-peru-eliminatorias-la-seleccion-esta-ante-el-reto-mas-traumatico-en-25-anos\\n\",\n \" \\n\",\n \"Premio Nobel de Literatura 2017: Kazuo Ishiguro fue el elegido de la Academia Sueca\\n\",\n \"http://www.lanacion.com.ar/2069413-premio-nobel-literatura-2017-kazuo-ishiguro\\n\",\n \" \\n\",\n \"Compensan con $355 millones a Edenor y Edesur por “reconocimiento” de obras\\n\",\n \"https://www.cronista.com/economiapolitica/Compensan-con-355-millones-a-Edenor-y-Edesur-por-reconocimiento-de-obras-20171005-0058.html\\n\",\n \" \\n\",\n \"La guerra secreta entre Marcelo Tinelli y Cristóbal López\\n\",\n \"https://www.clarin.com/espectaculos/fama/guerra-secreta-marcelo-tinelli-cristobal-lopez_0_ByD7YiGh-.html\\n\",\n \" \\n\",\n \"Por qué Google apuesta por el hardware\\n\",\n \"http://www.lanacion.com.ar/2069400-por-que-google-apuesta-por-el-hardware\\n\",\n \" \\n\",\n \"Pampita y una concesión para Benjamín Vicuña\\n\",\n \"https://www.diariopopular.com.ar/espectaculos/pampita-y-una-concesion-benjamin-vicuna-n323477\\n\",\n \" \\n\",\n \"Nora Cárpena, sobre su marido enfermo: \\\"Si él pudiera hablar pediría la eutanasia\\\"\\n\",\n \"https://www.ratingcero.com/notas/3043216-nora-carpena-su-marido-enfermo-si-el-pudiera-hablar-pediria-la-eutanasia\\n\",\n \" \\n\",\n \"Las fotos de Ivana Nadal desde Cancún\\n\",\n \"http://mundoaguaysaneamiento.net/2017/10/05/las-fotos-de-ivana-nadal-desde-canc-n/\\n\",\n \" \\n\"\n ]\n }\n ],\n \"source\": [\n \"import feedparser\\n\",\n \"d = feedparser.parse('https://news.google.com/news/rss/headlines?ned=es_ar')\\n\",\n \"# d = feedparser.parse('https://news.google.com/news/rss/headlines/section/topic/SCITECH.es_ar/Ciencia%20y%20Tecnolog%C3%ADa?ned=es_ar')\\n\",\n \"for e in d.entries:\\n\",\n \" print(e.title)\\n\",\n \" print(e.link)\\n\",\n \" print(' ')\"\n ]\n },\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n \"# R\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 86,\n \"metadata\": {},\n \"outputs\": [\n {\n \"data\": {\n \"text/html\": [\n \"'R version 3.4.1 (2017-06-30)'\"\n ],\n \"text/latex\": [\n \"'R version 3.4.1 (2017-06-30)'\"\n ],\n \"text/markdown\": [\n \"'R version 3.4.1 (2017-06-30)'\"\n ],\n \"text/plain\": [\n \"[1] \\\"R version 3.4.1 (2017-06-30)\\\"\"\n ]\n },\n \"metadata\": {},\n \"output_type\": \"display_data\"\n }\n ],\n \"source\": [\n \"R.version.string\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 1,\n \"metadata\": {},\n \"outputs\": [\n {\n \"data\": {\n \"text/html\": [\n \"\\n\",\n \"\\n\",\n \"\\n\",\n \"\\t\\n\",\n \"\\t\\n\",\n \"\\t\\n\",\n \"\\t\\n\",\n \"\\t\\n\",\n \"\\t\\n\",\n \"\\n\",\n \"

Sepal.Length	Sepal.Width	Petal.Length	Petal.Width	Species
5.1	3.5	1.4	0.2	setosa
4.9	3.0	1.4	0.2	setosa
4.7	3.2	1.3	0.2	setosa
4.6	3.1	1.5	0.2	setosa
5.0	3.6	1.4	0.2	setosa
5.4	3.9	1.7	0.4	setosa

\\n\"\n ],\n \"text/latex\": [\n \"\\\\begin{tabular}{r|lllll}\\n\",\n \" Sepal.Length & Sepal.Width & Petal.Length & Petal.Width & Species\\\\\\\\\\n\",\n \"\\\\hline\\n\",\n \"\\t 5.1 & 3.5 & 1.4 & 0.2 & setosa\\\\\\\\\\n\",\n \"\\t 4.9 & 3.0 & 1.4 & 0.2 & setosa\\\\\\\\\\n\",\n \"\\t 4.7 & 3.2 & 1.3 & 0.2 & setosa\\\\\\\\\\n\",\n \"\\t 4.6 & 3.1 & 1.5 & 0.2 & setosa\\\\\\\\\\n\",\n \"\\t 5.0 & 3.6 & 1.4 & 0.2 & setosa\\\\\\\\\\n\",\n \"\\t 5.4 & 3.9 & 1.7 & 0.4 & setosa\\\\\\\\\\n\",\n \"\\\\end{tabular}\\n\"\n ],\n \"text/markdown\": [\n \"\\n\",\n \"Sepal.Length | Sepal.Width | Petal.Length | Petal.Width | Species | \\n\",\n \"|---|---|---|---|---|---|\\n\",\n \"| 5.1 | 3.5 | 1.4 | 0.2 | setosa | \\n\",\n \"| 4.9 | 3.0 | 1.4 | 0.2 | setosa | \\n\",\n \"| 4.7 | 3.2 | 1.3 | 0.2 | setosa | \\n\",\n \"| 4.6 | 3.1 | 1.5 | 0.2 | setosa | \\n\",\n \"| 5.0 | 3.6 | 1.4 | 0.2 | setosa | \\n\",\n \"| 5.4 | 3.9 | 1.7 | 0.4 | setosa | \\n\",\n \"\\n\",\n \"\\n\"\n ],\n \"text/plain\": [\n \" Sepal.Length Sepal.Width Petal.Length Petal.Width Species\\n\",\n \"1 5.1 3.5 1.4 0.2 setosa \\n\",\n \"2 4.9 3.0 1.4 0.2 setosa \\n\",\n \"3 4.7 3.2 1.3 0.2 setosa \\n\",\n \"4 4.6 3.1 1.5 0.2 setosa \\n\",\n \"5 5.0 3.6 1.4 0.2 setosa \\n\",\n \"6 5.4 3.9 1.7 0.4 setosa \"\n ]\n },\n \"metadata\": {},\n \"output_type\": \"display_data\"\n },\n {\n \"data\": {\n \"image/png\": 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d6xdloS2SOP434r4y5Sk/lWP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\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HpNvMUBqIGkA9Ocx+RYDpAaS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\\n/wNUevc9J6C4AAAAAElFTkSuQmCC\",\n \"text/plain\": [\n \"plot without title\"\n ]\n },\n \"metadata\": {},\n \"output_type\": \"display_data\"\n }\n ],\n \"source\": [\n \"data(iris)\\n\",\n \"head(iris)\\n\",\n \"plot(iris[1:4], col = iris$Species)\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 53,\n \"metadata\": {},\n \"outputs\": [\n {\n \"data\": {\n \"text/plain\": [\n \" Min. 1st Qu. Median Mean 3rd Qu. Max. \\n\",\n \" 1.200 2.200 3.650 4.229 5.100 15.800 \"\n ]\n },\n \"metadata\": {},\n \"output_type\": \"display_data\"\n },\n {\n \"data\": {\n \"text/html\": [\n \"\\n\",\n \"\\n\",\n \"\\n\",\n \"\\t\\n\",\n \"\\t\\n\",\n \"\\t\\n\",\n \"\\t\\n\",\n \"\\t\\n\",\n \"\\t\\n\",\n \"\\n\",\n \"

barrio	x	y	area
AGRONOMIA	-58.48867	-34.59295	2.1
ALMAGRO	-58.42175	-34.60923	4.1
BALVANERA	-58.40306	-34.60910	4.3
BARRACAS	-58.38428	-34.64642	8.0
BELGRANO	-58.45030	-34.55489	7.9
BOCA	-58.35688	-34.63112	5.0

\\n\"\n ],\n \"text/latex\": [\n \"\\\\begin{tabular}{r|llll}\\n\",\n \" barrio & x & y & area\\\\\\\\\\n\",\n \"\\\\hline\\n\",\n \"\\t AGRONOMIA & -58.48867 & -34.59295 & 2.1 \\\\\\\\\\n\",\n \"\\t ALMAGRO & -58.42175 & -34.60923 & 4.1 \\\\\\\\\\n\",\n \"\\t BALVANERA & -58.40306 & -34.60910 & 4.3 \\\\\\\\\\n\",\n \"\\t BARRACAS & -58.38428 & -34.64642 & 8.0 \\\\\\\\\\n\",\n \"\\t BELGRANO & -58.45030 & -34.55489 & 7.9 \\\\\\\\\\n\",\n \"\\t BOCA & -58.35688 & -34.63112 & 5.0 \\\\\\\\\\n\",\n \"\\\\end{tabular}\\n\"\n ],\n \"text/markdown\": [\n \"\\n\",\n \"barrio | x | y | area | \\n\",\n \"|---|---|---|---|---|---|\\n\",\n \"| AGRONOMIA | -58.48867 | -34.59295 | 2.1 | \\n\",\n \"| ALMAGRO | -58.42175 | -34.60923 | 4.1 | \\n\",\n \"| BALVANERA | -58.40306 | -34.60910 | 4.3 | \\n\",\n \"| BARRACAS | -58.38428 | -34.64642 | 8.0 | \\n\",\n \"| BELGRANO | -58.45030 | -34.55489 | 7.9 | \\n\",\n \"| BOCA | -58.35688 | -34.63112 | 5.0 | \\n\",\n \"\\n\",\n \"\\n\"\n ],\n \"text/plain\": [\n \" barrio x y area\\n\",\n \"1 AGRONOMIA -58.48867 -34.59295 2.1 \\n\",\n \"2 ALMAGRO -58.42175 -34.60923 4.1 \\n\",\n \"3 BALVANERA -58.40306 -34.60910 4.3 \\n\",\n \"4 BARRACAS -58.38428 -34.64642 8.0 \\n\",\n \"5 BELGRANO -58.45030 -34.55489 7.9 \\n\",\n \"6 BOCA -58.35688 -34.63112 5.0 \"\n ]\n },\n \"metadata\": {},\n \"output_type\": \"display_data\"\n },\n {\n \"data\": {\n \"image/png\": 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G4p9p91tbMN/wZHZo2m0rEif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\\nAAAASUVORK5CYII=\",\n \"text/plain\": [\n \"plot without title\"\n ]\n },\n \"metadata\": {},\n \"output_type\": \"display_data\"\n }\n ],\n \"source\": [\n \"library(data.table)\\n\",\n \"library(beeswarm)\\n\",\n \"data <- fread( 'https://raw.githubusercontent.com/aaizemberg/geo-data/master/ar/caba/barrios.tsv' )\\n\",\n \"\\n\",\n \"setorder(data, barrio)\\n\",\n \"summary( data$area )\\n\",\n \"head(data)\\n\",\n \"\\n\",\n \"old.par <- par(mfrow=c(1, 4))\\n\",\n \"\\n\",\n \"# 1er grafico\\n\",\n \"boxplot( data$area )\\n\",\n \"\\n\",\n \"# 2do grafico\\n\",\n \"plot( sort(data$area) )\\n\",\n \"\\n\",\n \"# 3er grafico\\n\",\n \"beeswarm( data$area )\\n\",\n \"\\n\",\n \"# 4to grafico\\n\",\n \"boxplot( data$area ) \\n\",\n \"beeswarm( data$area, add = TRUE )\\n\",\n \"\\n\",\n \"par(old.par)\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 39,\n \"metadata\": {},\n \"outputs\": [\n {\n \"data\": {\n \"image/png\": 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kCDAEyGl7wafq8DV3z4SwSoK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\\n0PllUc+0VgAAAABJRU5ErkJggg==\",\n \"text/plain\": [\n \"Plot with title \\\"scatterplot\\\"\"\n ]\n },\n \"metadata\": {},\n \"output_type\": \"display_data\"\n }\n ],\n \"source\": [\n \"plot(data$x, data$y, main=\\\"scatterplot\\\", xlab=\\\"lon\\\", ylab=\\\"lat\\\")\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 2,\n \"metadata\": {},\n \"outputs\": [\n {\n \"data\": {},\n \"metadata\": {},\n \"output_type\": \"display_data\"\n },\n {\n \"data\": {\n \"image/png\": 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EERKBLtxnQvLdx6CSIlgN65z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\\n1AmpjgahAAAAAElFTkSuQmCC\",\n \"text/plain\": [\n \"plot without title\"\n ]\n },\n \"metadata\": {},\n \"output_type\": \"display_data\"\n }\n ],\n \"source\": [\n \"library(data.table)\\n\",\n \"library(ggplot2)\\n\",\n \"library(ggthemes)\\n\",\n \"data <- fread( 'https://raw.githubusercontent.com/aaizemberg/geo-data/master/ar/caba/barrios.tsv' )\\n\",\n \"setorder(data, area)\\n\",\n \"p <- ggplot(data, aes(x, y)) + labs(x = \\\"lon\\\", y = \\\"lat\\\") + geom_point(aes(size = area))\\n\",\n \"p\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 87,\n \"metadata\": {},\n \"outputs\": [\n {\n \"data\": {},\n \"metadata\": {},\n \"output_type\": \"display_data\"\n },\n {\n \"data\": {\n \"image/png\": 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Bc4pCuthGu/MTyZAWYkgrM47/fnv798eex//j+ev/f/z+/sdf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\\np/kfELrK7o+l+rEAAAAASUVORK5CYII=\",\n \"text/plain\": [\n \"plot without title\"\n ]\n },\n \"metadata\": {},\n \"output_type\": \"display_data\"\n }\n ],\n \"source\": [\n \"#\\n\",\n \"# https://cran.r-project.org/web/packages/ggthemes/vignettes/ggthemes.html\\n\",\n \"#\\n\",\n \"p + theme_fivethirtyeight()\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 29,\n \"metadata\": {},\n \"outputs\": [\n {\n \"data\": {},\n \"metadata\": {},\n \"output_type\": \"display_data\"\n },\n {\n \"data\": {\n \"image/png\": 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ZCbnuezZ8rAcSPx9pE2X64gy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\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eyJIS1sjgEuA1PvaaXzVBilN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\",\n \"text/plain\": [\n \"plot without title\"\n ]\n },\n \"metadata\": {},\n \"output_type\": \"display_data\"\n }\n ],\n \"source\": [\n \"g <- ggplot(data, aes(barrio)) + coord_flip() + geom_bar(aes(weight = area))\\n\",\n \"g\"\n ]\n },\n {\n \"cell_type\": \"code\",\n \"execution_count\": 23,\n \"metadata\": {},\n \"outputs\": [\n {\n \"data\": {},\n \"metadata\": {},\n \"output_type\": \"display_data\"\n },\n {\n \"data\": {\n \"image/png\": 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AElWKAYkDFjIhw/ZIUME6bBG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\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gtlnacxrfkHH70i07mqNKF7b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\",\n \"text/plain\": [\n \"plot without title\"\n ]\n },\n \"metadata\": {},\n \"output_type\": \"display_data\"\n }\n ],\n \"source\": [\n \"ggplot(data, aes(x = reorder(barrio, area), y = area)) + coord_flip() + geom_bar(stat = \\\"identity\\\") + \\n\",\n \"labs(x = \\\"barrio\\\") + \\n\",\n \"labs(y = bquote('area ['*km^2*']') )\"\n ]\n },\n {\n \"cell_type\": \"markdown\",\n \"metadata\": {},\n \"source\": [\n \"# the end\"\n ]\n }\n ],\n \"metadata\": {\n \"kernelspec\": {\n \"display_name\": \"Python 3\",\n \"language\": \"python\",\n \"name\": \"python3\"\n },\n \"language_info\": {\n \"codemirror_mode\": {\n \"name\": \"ipython\",\n \"version\": 3\n },\n \"file_extension\": \".py\",\n \"mimetype\": \"text/x-python\",\n \"name\": \"python\",\n \"nbconvert_exporter\": \"python\",\n \"pygments_lexer\": \"ipython3\",\n \"version\": \"3.5.2\"\n }\n },\n \"nbformat\": 4,\n \"nbformat_minor\": 2\n}\n","slug","4fad8caed8b14ece0229bb9634895bba","title","Probando R y Python desde 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