e main readme in spanish was created

README.es.md

@@ -1,55 +1,58 @@
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 # Welcome to Numpy exercise tutorial
 
-By <a href="https://twitter.com/alesanchezr">@alesanchezr</a> and <a href="https://github.com/breatheco-de/numpy-tutorial-exercises/graphs/contributors">other contributors</a> at <a href="http://4geeksacademy.com/">4Geeks Academy</a><a href="https://www.4geeksacademy.com"><img height="280" align="right" src="https://github.com/breatheco-de/numpy-tutorial-exercises/blob/master/.learn/assets/numpy-badge.png?raw=true"></a>
+Por <a href="https://twitter.com/alesanchezr">@alesanchezr</a> y <a href="https://github.com/breatheco-de/numpy-tutorial-exercises/graphs/contributors">otros contibuyentes</a> en <a href="http://4geeksacademy.com/">4Geeks Academy</a><a href="https://www.4geeksacademy.com"><img height="280" align="right" src="https://github.com/breatheco-de/numpy-tutorial-exercises/blob/master/.learn/assets/numpy-badge.png?raw=true"></a>
 <!-- endhide -->
-Numpy (and Pandas) are the #1 libraries for Machine Learning, there is no way you can do anything without it. 
-This interactive tutorial will help you become familiar on it, master the most used functionalities and help you clean up your first datasets.
 
-- Numpy documentation 
-- Vectors
-- Matrix
-- Random, Mean Values
+Numpy (y Pandas) son las librerías #1 para Machine Learning, no hay manera que puedas realizar cualquier cosa sin ellas.
 
-Note: The entire tutorial is 👆 interactive, ✅ auto-graded and with. 📹 video tutorials.
+Este tutorial inrteractivo te va a ayudar a familiarizarte con ello, a dominar las funcionalidades mas usadas y a ayudarte a limpiar tu primer set de datos. 
 
-These exercises were built in collaboration, we need you! If you find any bugs or misspells plese contribute and report them.
+- Documentación de Numpy.
+- Vectores.
+- Matrices.
+- Valores aleatorios, Media.
+
+Nota: Todo el tutorial es completamente 👆 interactivo, ✅ con correción automática y 📹 videos tutoriales.
+
+Estos ejercicios fueron construidos en colaboración. !te necesitamos! Si consigues algun error o falta ortográfica por favor ayúdanos y repórtalos.
 
 <!-- hide -->
-## One click installation:
+## Instalación de un solo clic:
 
-[![Open in Gitpod](https://gitpod.io/button/open-in-gitpod.svg)](https://gitpod.io#https://github.com/breatheco-de/numpy-tutorial-exercises)
+[![Abre en Gitpod](https://gitpod.io/button/open-in-gitpod.svg)](https://gitpod.io#https://github.com/breatheco-de/numpy-tutorial-exercises)
 
 
-## Local Installation
+## Instalación local
 
-1. Install learnpack, the package manager for learning tutorials and the html compiler plugin for learnpack, make sure you also have node.js 12+:
+1.  Instala `learnpack`, el `packet manager` (manejador de paquetes) para tutoriales de aprendizaje y el `compiler plugin` (plugin compilador) de html para `learnpack`. Asegúrate de tener también node.js 12+: 
 
 ```
 $ npm i learnpack -g
 $ learnpack plugins:install learnpack-python
 ```
 
-2. Start the tutorial/exercises by running the following command at the same level were your bc.json file is:
+2. Empieza el tutorial/ejercicios corriendo el siguienete comando en el mismo nivel donde se encuentra tu archivo bc.json:
 
 ```sh
 $ npm i jest@24.8.0 -g
 $ learnpack start
 ```
 
-Note: The exercises have automatic grading but its very rigid and string, my recomendation is to ignore the tests and use them only as a recomendation or you can get frustrated.
+Nota: los ejercicios tienen corrección automática pero es muy rígida, mi sugerencia es ignorar las pruebas y usarlas solo como recomendación, porque puedes llegar a frustrarte.
 
 <!-- endhide -->
 
+ ## Colaboradores
+
+Gracias a estas personas maravillosas ([emoji key](https://github.com/kentcdodds/all-contributors#emoji-key)):
 
- ## Contributors
-
-Thanks goes to these wonderful people ([emoji key](https://github.com/kentcdodds/all-contributors#emoji-key)):
+1. [Alejandro Sanchez (alesanchezr)](https://github.com/alesanchezr), contribución: (programador) 💻 (idea) 🤔, (build-tests) ⚠️ , (pull-request-review) 🤓 (build-tutorial) ✅ (documentación) 📖
 
-1. [Alejandro Sanchez (alesanchezr)](https://github.com/alesanchezr), contribution: (coder) 💻  (idea) 🤔, (build-tests) ⚠️ , (pull-request-review) 👀 (build-tutorial) ✅ (documentation) 📖
+2. [Paolo (plucodev)](https://github.com/plucodev), contribución: (bug reports) 🐛, (programador), (traducción) 🌎
 
-2. [Paolo (plucodev)](https://github.com/plucodev), contribution: (bug reports) 🐛, contribution: (coder), (translation) 🌎
+3. [Marco Gómez (marcogonzalo)](https://github.com/marcogonzalo), contribution: (bug reports) 🐛, (traducción) 🌎
 
-3. [Ricardo Rodriguez (RickRodriguez8080)](https://github.com/RickRodriguez8080) contribution: (build-tutorial)  ✅, (documentation) 📖
+Este proyecto sigue la especificación [all-contributors](https://github.com/kentcdodds/all-contributors).
 
-This project follows the [all-contributors](https://github.com/kentcdodds/all-contributors) specification. Contributions of any kind are welcome!
+ ¡Todas las contribuciones son bienvenidas!

README.md

@@ -4,16 +4,17 @@
 By <a href="https://twitter.com/alesanchezr">@alesanchezr</a> and <a href="https://github.com/breatheco-de/numpy-tutorial-exercises/graphs/contributors">other contributors</a> at <a href="http://4geeksacademy.com/">4Geeks Academy</a><a href="https://www.4geeksacademy.com"><img height="280" align="right" src="https://github.com/breatheco-de/numpy-tutorial-exercises/blob/master/.learn/assets/numpy-badge.png?raw=true"></a>
 <!-- endhide -->
 Numpy (and Pandas) are the #1 libraries for Machine Learning, there is no way you can do anything without it. 
+
 This interactive tutorial will help you become familiar on it, master the most used functionalities and help you clean up your first datasets.
 
-- Numpy documentation 
-- Vectors
-- Matrix
-- Random, Mean Values
+- Numpy documentation.
+- Vectors.
+- Matrix.
+- Random, Mean Values.
 
-Note: The entire tutorial is 👆 interactive, ✅ auto-graded and with. 📹 video tutorials.
+Note: The entire tutorial is 👆 interactive, ✅ auto-graded and with 📹 video tutorials.
 
-These exercises were built in collaboration, we need you! If you find any bugs or misspells plese contribute and report them.
+These exercises were built in collaboration, we need you! If you find any bugs or misspells please contribute and report them.
 
 <!-- hide -->
 ## One click installation:
@@ -23,7 +24,7 @@ These exercises were built in collaboration, we need you! If you find any bugs o
 
 ## Local Installation
 
-1. Install learnpack, the package manager for learning tutorials and the html compiler plugin for learnpack, make sure you also have node.js 12+:
+1. Install `learnpack`, `packet manager` for learning tutorials and the html `compiler plugin` for learnpack, make sure you also have node.js 12+:
 
 ```
 $ npm i learnpack -g
@@ -37,19 +38,21 @@ $ npm i [email protected] -g
 $ learnpack start
 ```
 
-Note: The exercises have automatic grading but its very rigid and string, my recomendation is to ignore the tests and use them only as a recomendation or you can get frustrated.
+Note: The exercises have automatic grading but it is very rigid and string, my recomendation is to ignore the tests and use them only as a recomendation or you can get frustrated.
 
 <!-- endhide -->
 
 
  ## Contributors
 
-Thanks goes to these wonderful people ([emoji key](https://github.com/kentcdodds/all-contributors#emoji-key)):
+Thanks to these wonderful people ([emoji key](https://github.com/kentcdodds/all-contributors#emoji-key):
 
 1. [Alejandro Sanchez (alesanchezr)](https://github.com/alesanchezr), contribution: (coder) 💻  (idea) 🤔, (build-tests) ⚠️ , (pull-request-review) 👀 (build-tutorial) ✅ (documentation) 📖
 
 2. [Paolo (plucodev)](https://github.com/plucodev), contribution: (bug reports) 🐛, contribution: (coder), (translation) 🌎
 
 3. [Ricardo Rodriguez (RickRodriguez8080)](https://github.com/RickRodriguez8080) contribution: (build-tutorial)  ✅, (documentation) 📖
 
-This project follows the [all-contributors](https://github.com/kentcdodds/all-contributors) specification. Contributions of any kind are welcome!
+This project follows the [all-contributors](https://github.com/kentcdodds/all-contributors) specifications. 
+
+Contributions of any kind are welcome!