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@@ -9,9 +9,11 @@ By <a href="https://twitter.com/alesanchezr">@alesanchezr</a> and <a href="https
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*Estas instrucciones [están disponibles en 🇪🇸 español](https://github.com/4GeeksAcademy/master-python-programming-exercises/blob/master/README.es.md):es:*
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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.
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After you finish the begginers, functions, and loop series, this series will really prepare you for your next job or any other programming challenge. Practice everything there is to know to build algorithms with Python, from intermediate to hard challenges.
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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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The entire tutorial is 👆 interactive and ✅ auto-graded.
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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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<!-- hide -->
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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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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 this particular tutorial using learnpack and `cd` into the folder:
> 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 your learn.json file is:
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```sh
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$ RUN pip3 install pytest==4.4.2 pytest-testdox mock
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```bash
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$ RUN pip3 install pytest==4.4.2 pytest-testdox mock
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$ learnpack start
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```
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<!-- endhide -->
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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)):
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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