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# Ejercicios de looping en listas y tuplas de Python en 4Geeks Academy</h1>
# 🐍 Ejercicios de looping en listas y tuplas de Python

<a href="https://www.4geeksacademy.co"><img height="280" align="right" src="https://github.com/4GeeksAcademy/python-lists-loops-programming-exercises/blob/master/python-lp-badge.png"></a>

> Por [@alesanchezr](https://twitter.com/alesanchezr) y [otros colaboradores](https://github.com/4GeeksAcademy/python-lists-loops-programming-exercises/graphs/contributors) at [4Geeks Academy](https://4geeksacademy.co/)
> Por [@alesanchezr](https://twitter.com/alesanchezr) y [otros colaboradores](https://github.com/4GeeksAcademy/python-lists-loops-programming-exercises/graphs/contributors) en [4Geeks Academy](https://4geeksacademy.co/)
<!-- endhide -->

Aprender a programar es dificil ¡necesitas coaching! Envíame un DM en twitter si tienes alguna pregunta.
Las listas y los bucles son uno de los temas más desafiantes de comprender al aprender a programar. Aprenderás lo siguiente:

Esta es una selección completa de ejercicios con tests e interactivos en Python para cualquier persona interesada en aprender Python!
+ Todas las formas posibles de realizar bucles en Python.

+ Iterar sobre listas, tuplas, diccionarios y otras estructuras de datos.

Estos ejercicios son colaborativos, ¡te necesitamos! Si encuentras algún error o falta de ortografía, por favor contribuye y repórtalo.

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<p align="center">
<img src="https://raw.githubusercontent.com/4GeeksAcademy/react-exercises/master/preview.gif">
</p>

## Instalación en un clic (recomendado)

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

> Una vez ya tengas abirto 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`
> 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:

Clona el repositorio en tu ambiente local y sigue los siguientes pasos:

1. Instala learnpack, el administrador de paquetes para tutoriales de aprendizaje y el complemento del compilador html para learnpack, asegúrate de tener también node.js 14+:

```sh
```bash
$ npm i learnpack -g
$ learnpack plugins:install learnpack-python
```

2. Descarga este ejercicio en particular usando learnpack y `cd` para entrar en la carpeta:
2. Descarga estos ejercicios en particular usando learnpack y `cd` para entrar en la carpeta:

```bash
$ learnpack download python-lists-loops-programming-exercises
$ cd python-lists-loops-programming-exercises
```


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

```sh
```bash
$ pip3 install pytest==4.4.2 pytest-testdox mock
$ learnpack start
```
Expand All @@ -56,20 +55,20 @@ $ learnpack start

Cada ejercicio es un pequeño proyecto en Python que contiene los siguientes archivos:

1. **app.py:** representa el archivo de entrada de python que será ejecutado en el computador.
1. **app.py:** representa el archivo de entrada de Python que será ejecutado en el computador.
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 estricto, mi recomendación es ignorar las pruebas y usarlas solo como una recomendación o puedes frustrarse.
> Nota: Estos ejercicios tienen calificación automática. Los tests son muy rígidos y estrictos, mi recomendación es que no prestes demasiada atención a los tests y los uses solo como una sugerencia o podrías frustrarte.
## Colaboradores

Gracias a estas personas maravillosas ([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), contribución: (programador) 💻, (idea) 🤔, (build-tests) ⚠️, (pull-request-review) 👀, (build-tutorial) ✅, (documentación) 📖

2. [Paolo (plucodev)](https://github.com/plucodev), contribución: (bug reports) 🐛, (programador), (traducción) 🌎

Este proyecto sigue la especificación [all-contributors](https://github.com/kentcdodds/all-contributors). ¡Todas las contribuciones son bienvenidas!

Este y otros ejercicios son usados para [aprender a programar](https://4geeksacademy.com/es/aprender-a-programar/aprender-a-programar-desde-cero) por parte de los alumnos de 4Geeks Academy [Coding Bootcamp](https://4geeksacademy.com/us/coding-bootcamp) realizado por [Alejandro Sánchez](https://twitter.com/alesanchezr) y muchos otros contribuyentes. Conoce más sobre nuestros [Curso de Programación](https://4geeksacademy.com/es/curso-de-programacion-desde-cero?lang=es) para convertirte en [Full Stack Developer](https://4geeksacademy.com/es/coding-bootcamps/desarrollador-full-stack/?lang=es), o nuestro [Data Science Bootcamp](https://4geeksacademy.com/es/coding-bootcamps/curso-datascience-machine-learning).
Este y otros ejercicios son usados para [aprender a programar](https://4geeksacademy.com/es/aprender-a-programar/aprender-a-programar-desde-cero) por parte de los alumnos de 4Geeks Academy [Coding Bootcamp](https://4geeksacademy.com/us/coding-bootcamp) realizado por [Alejandro Sánchez](https://twitter.com/alesanchezr) y muchos otros contribuyentes. Conoce más sobre nuestros [Cursos de Programación](https://4geeksacademy.com/es/curso-de-programacion-desde-cero?lang=es) para convertirte en [Full Stack Developer](https://4geeksacademy.com/es/coding-bootcamps/desarrollador-full-stack/?lang=es), o nuestro [Data Science Bootcamp](https://4geeksacademy.com/es/coding-bootcamps/curso-datascience-machine-learning).
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# 🐍 Python lists and loops tutorial exercises
# 🐍 Python lists and loops tutorial exercises

<a href="https://www.4geeksacademy.co"><img height="280" align="right" src="https://github.com/4GeeksAcademy/python-lists-loops-programming-exercises/blob/master/python-lp-badge.png"></a>

> Por [@alesanchezr](https://twitter.com/alesanchezr) y [otros colaboradores](https://github.com/4GeeksAcademy/python-lists-loops-programming-exercises/graphs/contributors) at [4Geeks Academy](https://4geeksacademy.co/)
> By [@alesanchezr](https://twitter.com/alesanchezr) and [otros colaboradores](https://github.com/4GeeksAcademy/python-lists-loops-programming-exercises/graphs/contributors) at [4Geeks Academy](https://4geeksacademy.co/)

![last commit](https://img.shields.io/github/last-commit/4geeksacademy/python-lists-loops-programming-exercises)
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Lists and Loops is one of the most challenging topics to grasp when learning how to code, you will learn:
Lists and loops are one of the most challenging topics to grasp when learning how to code. You will learn:

1. All the possible ways to loop in python,
+ All the possible ways to loop in Python.

2. Looping lists, tuples, dictionaries and other data-structures.
+ Looping lists, tuples, dictionaries and other data structures.

The entire tutorial is 👆 interactive, ✅ auto-graded and with. 📹 video tutorials.
The entire tutorial is 👆 interactive, ✅ auto-graded, and has 📹 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 misspellings, please contribute and report them.

<!-- hide -->

Expand All @@ -34,31 +34,31 @@ These exercises were built in collaboration, we need you! If you find any bugs o

You can open these exercises in just a few seconds by clicking: [Open in Codespaces](https://codespaces.new/?repo=4GeeksAcademy/python-lists-loops-programming-exercises) (recommended) or [Open in Gitpod](https://gitpod.io#https://github.com/4GeeksAcademy/python-lists-loops-programming-exercises).

> Once you have VSCode open the LearnPack exercises should start automatically. If exercises don't run automatically you can try typing on your terminal: `$ learnpack start`
> Once you have VSCode open, the LearnPack exercises should start automatically. If exercises don't run automatically you can try typing on your terminal: `$ learnpack start`
## Local Installation

Clone the repository in your local environment and follow the steps below:

1. Install learnpack, the package manager for learning tutorials and the html compiler plugin for learnpack, make sure you also have node.js 14+:

```
```bash
$ npm i learnpack -g
$ learnpack plugins:install learnpack-python
```

2. Download this particular exercise using learnpack and `cd` into the folder:
2. Download these particular exercises using learnpack and `cd` into the folder:

```
```bash
$ learnpack download python-lists-loops-programming-exercises
$ cd python-lists-loops-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 an "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:
3. Start the tutorial/exercises by running the following command at the same level where your learn.json file is:

```sh
```bash
$ $ pip3 install pytest==4.4.2 pytest-testdox mock
$ learnpack start
```
Expand All @@ -67,22 +67,22 @@ $ learnpack start

## How are the exercises organized?

Each exercise is a small python project containing the following files:
Each exercise is a small Python project containing the following files:

1. **app.py:** represents the entry python file that will be executed by the computer.
1. **app.py:** represents the entry Python file that will be executed by the computer.
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.
> Note: The exercises have automatic grading, but it's very rigid and strict, my recommendation is to not take the tests too serious and use them only as a suggestion, or you may get frustrated.
## 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), contribution: (coder) 💻 (idea) 🤔, (build-tests) ⚠️ , (pull-request-review) 👀 (build-tutorial) ✅ (documentation) 📖
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) 🌎
2. [Paolo (plucodev)](https://github.com/plucodev), contribution: (bug reports) 🐛, (coder) 💻, (translation) 🌎

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) 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).
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"slug": "python-lists-loops",
"title": {
"us": "Learn Python Loops and lists Interactively",
"es": "Aprende listas y ciclos de Python Interactivamente"
"es": "Aprende listas y bucles de Python Interactivamente"
},
"repository": "https://github.com/4GeeksAcademy/python-lists-loops-programming-exercises",
"preview": "https://github.com/4GeeksAcademy/python-lists-loops-programming-exercises/blob/master/preview.gif?raw=true",
"description": {
"us": "Practice Python Lists and tuples (arrays) with interactive auto-graded exercises and video solutions.",
"us": "Practice Python Lists and tuples (arrays) with interactive auto-graded exercises and video solutions",
"es": "Practica listas y tuplas de Python con ejercicios interactivos, auto-evaluados y con video soluiones"
},
"duration": 10,
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