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16 changes: 9 additions & 7 deletions README.es.md
Original file line number Diff line number Diff line change
Expand Up @@ -7,13 +7,15 @@

Después de terminar la serie de principiantes, funciones y bucles; Esta serie realmente lo preparará para su próximo trabajo o cualquier otro desafío de programación. Practique todo lo que necesita saber para construir algoritmos con python, desde desafíos intermedios hasta difíciles: todo el tutorial es 👆 interactivo, ✅ calificado automáticamente y con 📹 videos tutoriales.

<!-- hide -->
Estos Ejercicios son colaborativos, ¡te necesitamos! Si encuentras algún error o falta de ortografía, por favor contribuye y repórtalo.

## Instalación en un clic:
[![Open in Gitpod](https://gitpod.io/button/open-in-gitpod.svg)](https://gitpod.io#https://github.com/4GeeksAcademy/master-python-programming-exercises.git)
<!-- hide -->

## Instalación en un clic (recomendado)

Puedes empezar estos ejercicios en pocos segundos haciendo clic en: [Abrir en Codespaces](https://codespaces.new/?repo=4GeeksAcademy/master-python-programming-exercises) (recomendado) o [Abrir en Gitpod](https://gitpod.io#https://github.com/4GeeksAcademy/master-python-programming-exercises.git).

> Una vez ya tengas abierto VSCode, los ejercicios de LearnPack deberían empezar automáticamente; si esto no sucede puedes intentar empezar los ejercicios escribiendo este comando en tu terminal: `$ learnpack start`

## Instalación local:

Expand All @@ -31,7 +33,7 @@ $ learnpack download master-python-programming-exercises
$ cd master-python-programming-exercises
```

Nota: Una vez que termine de descargar, encontrarás la carpeta "exercises" que contiene todos los ejercicios.
> Nota: Una vez que termine de descargar, encontrarás la carpeta "exercises" que contiene todos los ejercicios.

3. Comienza con los ejercicios ejecutando el siguiente en el mismo nivel que tu archivo learn.json:

Expand All @@ -40,8 +42,6 @@ $ RUN pip3 install pytest==4.4.2 pytest-testdox mock
$ learnpack start
```
<!-- endhide -->
Nota: Los ejercicios tienen calificación automática pero es muy rígido y fuerte, mi recomendación es ignorar las pruebas y usarlas solo como una recomendación o podrás frustrarte.


## ¿Cómo están organizados los ejercicios?

Expand All @@ -51,6 +51,8 @@ Cada ejercicio es un pequeño proyecto en Python que contiene los siguientes arc
2. **README.md:** contiene las instrucciones del ejercicio.
3. **test.py:** no tienes que abrir este archivo. Contiene los scripts de pruebas del ejercicio.

> Nota: Los ejercicios tienen calificación automática pero es muy rígido y fuerte, mi recomendación es ignorar las pruebas y usarlas solo como una recomendación o podrás frustrarte.

# Colaboradores

Gracias a estas personas maravillosas ([emoji key](https://github.com/kentcdodds/all-contributors#emoji-key)):
Expand Down
11 changes: 6 additions & 5 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,9 @@ By <a href="https://twitter.com/alesanchezr">@alesanchezr</a> and <a href="https
<a href="https://www.4geeksacademy.co"><img height="280" align="right" src="https://raw.githubusercontent.com/4GeeksAcademy/master-python-programming-exercises/master/badge-master-python.png" /></a>

<!-- endhide -->

*Estas instrucciones [están disponibles en 🇪🇸 español](https://github.com/4GeeksAcademy/master-python-programming-exercises/blob/master/README.es.md) :es:*

After you finished the begginers, functions and loops series; This series will really prepare you for your next job or any any other programming challenge. Practice everything there you need to know to build algorithms with python, from intermadiate to hard challenges: 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.
Expand Down Expand Up @@ -35,7 +38,7 @@ $ learnpack download master-python-programming-exercises
$ cd master-python-programming-exercises
```

Note: Once you finish downloading, you will find a "exercises" folder that contains all the exercises within.
> Note: Once you finish downloading, you will find a "exercises" folder that contains all the exercises within.

3. Start the tutorial/exercises by running the following command at the same level were your bc.json file is:

Expand All @@ -46,9 +49,6 @@ $ learnpack start

<!-- endhide -->

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.


## How are the exercises organized?

Each exercise is a small react application containing the following files:
Expand All @@ -57,6 +57,8 @@ Each exercise is a small react application containing the following files:
2. **README.md:** contains exercise instructions.
3. **test.py:** you don't have to open this file, it contains the testing script for the exercise.

> 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.

## Contributors

Thanks goes to these wonderful people ([emoji key](https://github.com/kentcdodds/all-contributors#emoji-key)):
Expand All @@ -67,7 +69,6 @@ Thanks goes to these wonderful people ([emoji key](https://github.com/kentcdodds

3. [Marco Gómez (marcogonzalo)](https://github.com/marcogonzalo), contribution: (bug reports) :🐛, (translation) 🌎


This project follows the[all-contributors](https://github.com/kentcdodds/all-contributors) specification.Contributions of any kind are welcome!

This and many other exercises are built by students as part of the 4Geeks Academy [Coding Bootcamp](https://4geeksacademy.com/us/coding-bootcamp) by [Alejandro Sánchez](https://twitter.com/alesanchezr) and many other contributors. Find out more about our [Full Stack Developer Course](https://4geeksacademy.com/us/coding-bootcamps/part-time-full-stack-developer), and [Data Science Bootcamp](https://4geeksacademy.com/us/coding-bootcamps/datascience-machine-learning).