From ea5355a855e118f134041c4c4c9914431a6495c1 Mon Sep 17 00:00:00 2001 From: coolneng Date: Wed, 26 Feb 2020 18:35:13 +0100 Subject: [PATCH] Initial commit with Project presentation --- Project.org | 28 ++++++++++++++++++++ Project.pdf | Bin 0 -> 116718 bytes Project.tex | 75 ++++++++++++++++++++++++++++++++++++++++++++++++++++ 3 files changed, 103 insertions(+) create mode 100644 Project.org create mode 100644 Project.pdf create mode 100644 Project.tex diff --git a/Project.org b/Project.org new file mode 100644 index 0000000..d9813d5 --- /dev/null +++ b/Project.org @@ -0,0 +1,28 @@ +#+TITLE: openParis +#+AUTHOR: Amin Kasrou Aouam, Alejandro Calle González-Valdés +* openParis + +El objetivo de este proyecto es crear un sistema de información que permite +visualizar datos de una Smart City. Nos centraremos en la ciudad de París, dado +que ofrece una gran cantidad de recursos públicos y actualizados. + +** Tecnologías +*** Docker +*** Python +**** Flask +**** Pandas + +** Fuentes de datos + +No usamos ninguna base de datos local, sólo recursos procedentes de APIs REST y +/web scraping/. + +*** APIs +**** Opendata +Gracias al proyecto openData de la EU, la mayoría de /smart cities/ europeas +ofrecen datos de carácter público para la investigación. + +Usaremos la siguiente [[https://opendata.paris.fr/api/v2/console][API]]. +*** Scraping +**** Flickr +Haremos scraping de imágenes, las que está disponibles con licencia [[https://www.flickr.com/creativecommons/][/Creative Commons/]]. diff --git a/Project.pdf b/Project.pdf new file mode 100644 index 0000000000000000000000000000000000000000..2635f53dd3f3c4e0179539d61cafdda12e3ef0ba GIT binary patch literal 116718 zcma&MQ;;xB%r!W+ZQHhO+qTVTY}>YN+qP}nGyDF#`(1q(yIra3r1~~F=X4TM1rae? 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pdfcreator={Emacs 26.3 (Org mode 9.4)}, + pdflang={English}} +\begin{document} + +\maketitle +\tableofcontents + +\section{openParis} +\label{sec:org1e888d6} + +El objetivo de este proyecto es crear un sistema de información que permite +visualizar datos de una Smart City. Nos centraremos en la ciudad de París, dado +que ofrece una gran cantidad de recursos públicos y actualizados. + +\subsection{Tecnologías} +\label{sec:orgbabb88a} +\subsubsection{Docker} +\label{sec:orge6a33b5} +\subsubsection{Python} +\label{sec:orgdc954cd} +\begin{enumerate} +\item Flask +\label{sec:orgb198be8} +\item Pandas +\label{sec:orga119339} +\end{enumerate} + +\subsection{Fuentes de datos} +\label{sec:orgf7b6fc4} + +No usamos ninguna base de datos local, sólo recursos procedentes de APIs REST y +\emph{web scraping}. + +\subsubsection{APIs} +\label{sec:org08fa8d1} +\begin{enumerate} +\item Opendata +\label{sec:org7485b4a} +Gracias al proyecto openData de la EU, la mayoría de \emph{smart cities} europeas +ofrecen datos de carácter público para la investigación. + +Usaremos la siguiente \href{https://opendata.paris.fr/api/v2/console}{API}. +\end{enumerate} +\subsubsection{Scraping} +\label{sec:orga8b5760} +\begin{enumerate} +\item Flickr +\label{sec:orga5b8366} +Haremos scraping de imágenes, las que está disponibles con licencia \href{https://www.flickr.com/creativecommons/}{\emph{Creative Commons}}. +\end{enumerate} +\end{document}