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@@ -10,78 +10,77 @@ By [@alesanchezr](https://twitter.com/alesanchezr) and [other contributors](http
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*Estas instrucciones [están disponibles en 🇪🇸 español](https://github.com/Lorenagubaira/python-beginner-programming-exercises/blob/master/README.es.md) :es:*
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This exercises are the ideal first step for anyone trying to learn Python, we start from the most simple challenge like printing a message on the terminal and slowly increase step by step.
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These exercises are the ideal first step for anyone trying to learn Python. We start with the most simple challenge, like printing a message on the terminal and slowly increase step by step.
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This particular series are for Python beginners. You will learn:
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This particular series is for Python beginners. You will learn:
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1. The `print` function,
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1. The `print` function.
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2. Data-Types,
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2. Data-Types.
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3. Lists and Tuples,
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3. Lists and Tuples.
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4. Functions and dictionaries.
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The entire tutorial is 👆 interactive, ✅ auto-graded and with 📹 video tutorials.
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The entire tutorial is 👆 interactive, ✅ auto-graded, and has 📹 video tutorials.
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These exercises were built in collaboration, we need you! If you find any bugs or misspells plese contribute and report them.
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These exercises were built in collaboration, we need you! If you find any bugs or misspellings please contribute and report them.
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## One click installation (recommended):
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You can open these exercises in just a few seconds by clicking: [Open in Codespaces](https://codespaces.new/?repo=4GeeksAcademy/python-beginner-programming-exercises) (recommended) or [Open in Gitpod](https://gitpod.io#https://github.com/4GeeksAcademy/python-beginner-programming-exercises).
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> 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`
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> 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`
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## Local Installation
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Clone the repository in your local environment and follow the steps below:
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1. Install learnpack, the package manager for learning tutorials and the html compiler plugin for learnpack, make sure you also have node.js 14+:
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1. Install LearnPack, the package manager for learning tutorials, and the HTML compiler plugin for LearnPack. Make sure you also have node.js 14+:
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```
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```bash
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$ npm i learnpack -g
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$ learnpack plugins:install learnpack-python
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```
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2. Download this particular exercise using learnpack and `cd` into the folder:
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2. Download these particular exercises using LearnPack and `cd` into the folder:
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```
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```bash
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$ learnpack download python-beginner-programming-exercises
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$ cd python-beginner-programming-exercises
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```
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Note: Once you finish downloading, you will find a "exercises" folder that contains all the exercises within.
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Note: Once you finish downloading, you will find an "exercises" folder that contains all the exercises within.
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3. Start the tutorial/exercises by running the following command at the same level were your bc.json file is:
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3. Start the tutorial/exercises by running the following command at the same level where your learn.json file is:
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```sh
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```bash
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$ $ pip3 install pytest==4.4.2 pytest-testdox mock
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$ learnpack start
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```
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## How are the exercises organized?
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Each exercise is a small react application containing the following files:
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Each exercise is a small React application containing the following files:
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1. **app.py:** represents the entry python file that will be executed by the computer.
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1. **app.py:** represents the entry Python file that will be executed by the computer.
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2. **README.md:** contains exercise instructions.
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3. **test.py:** you don't have to open this file, it contains the testing script for the exercise.
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> 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.
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> 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.
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## Contributors
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Thanks goes to these wonderful people ([emoji key](https://github.com/kentcdodds/all-contributors#emoji-key)):
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1. [Alejandro Sanchez (alesanchezr)](https://github.com/alesanchezr), contribution: (coder) 💻 (idea) 🤔, (build-tests) ⚠️ , (pull-request-review) 👀 (build-tutorial) ✅ (documentation) 📖
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1. [Alejandro Sanchez (alesanchezr)](https://github.com/alesanchezr), contribution: (coder) 💻, (idea) 🤔, (build-tests) ⚠️, (pull-request-review) 👀, (build-tutorial) ✅, (documentation) 📖
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2. [Paolo (plucodev)](https://github.com/plucodev), contribution: (bug reports) 🐛, contribution: (coder), (translation) 🌎
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2. [Paolo (plucodev)](https://github.com/plucodev), contribution: (bug reports) 🐛, (coder) 💻, (translation) 🌎
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This project follows the[all-contributors](https://github.com/kentcdodds/all-contributors) specification.Contributions of any kind are welcome!
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This project follows the [all-contributors](https://github.com/kentcdodds/all-contributors) specification. Contributions of any kind are welcome!
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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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