Feat: add new Markdown parser (#39800)
and change all the challenges to new `md` format.
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@@ -4,46 +4,30 @@ title: Demographic Data Analyzer
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challengeType: 10
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---
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## Description
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<section id='description'>
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# --description--
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In this challenge you must analyze demographic data using Pandas. You are given a dataset of demographic data that was extracted from the 1994 Census database.
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You can access <a href='https://repl.it/github/freeCodeCamp/boilerplate-demographic-data-analyzer' target='_blank'>the full project description and starter code on Repl.it</a>.
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You can access [the full project description and starter code on Repl.it](https://repl.it/github/freeCodeCamp/boilerplate-demographic-data-analyzer).
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After going to that link, fork the project. Once you complete the project based on the instructions in 'README.md', submit your project link below.
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We are still developing the interactive instructional part of the data analysis with Python curriculum. For now, you will have to use other resources to learn how to pass this challenge.
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</section>
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## Instructions
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<section id='instructions'>
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# --hints--
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</section>
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It should pass all Python tests.
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## Tests
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<section id='tests'>
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```yml
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tests:
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- text: 'It should pass all Python tests.'
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testString: ''
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```js
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```
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</section>
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# --seed--
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## Challenge Seed
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<section id='challengeSeed'>
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</section>
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## Solution
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<section id='solution'>
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# --solutions--
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```py
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# Python challenges don't need solutions,
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# because they would need to be tested against a full working project.
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# Please check our contributing guidelines to learn more.
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```
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</section>
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@@ -4,46 +4,30 @@ title: Mean-Variance-Standard Deviation Calculator
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challengeType: 10
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---
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## Description
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<section id='description'>
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# --description--
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Create a function that uses Numpy to output the mean, variance, and standard deviation of the rows, columns, and elements in a 3 x 3 matrix.
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You can access <a href='https://repl.it/github/freeCodeCamp/boilerplate-mean-variance-standard-deviation-calculator' target='_blank'>the full project description and starter code on Repl.it</a>.
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You can access [the full project description and starter code on Repl.it](https://repl.it/github/freeCodeCamp/boilerplate-mean-variance-standard-deviation-calculator).
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After going to that link, fork the project. Once you complete the project based on the instructions in 'README.md', submit your project link below.
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We are still developing the interactive instructional part of the data analysis with Python curriculum. For now, you will have to use other resources to learn how to pass this challenge.
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</section>
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## Instructions
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<section id='instructions'>
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# --hints--
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</section>
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It should pass all Python tests.
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## Tests
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<section id='tests'>
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```yml
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tests:
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- text: 'It should pass all Python tests.'
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testString: ''
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```js
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```
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</section>
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# --seed--
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## Challenge Seed
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<section id='challengeSeed'>
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</section>
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## Solution
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<section id='solution'>
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# --solutions--
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```py
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# Python challenges don't need solutions,
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# because they would need to be tested against a full working project.
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# Please check our contributing guidelines to learn more.
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```
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</section>
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@@ -4,46 +4,30 @@ title: Medical Data Visualizer
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challengeType: 10
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---
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## Description
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<section id='description'>
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# --description--
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In this project, you will visualize and make calculations from medical examination data using matplotlib, seaborn, and pandas.
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You can access <a href='https://repl.it/github/freeCodeCamp/boilerplate-medical-data-visualizer' target='_blank'>the full project description and starter code on Repl.it</a>.
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You can access [the full project description and starter code on Repl.it](https://repl.it/github/freeCodeCamp/boilerplate-medical-data-visualizer).
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After going to that link, fork the project. Once you complete the project based on the instructions in 'README.md', submit your project link below.
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We are still developing the interactive instructional part of the data analysis with Python curriculum. For now, you will have to use other resources to learn how to pass this challenge.
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</section>
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## Instructions
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<section id='instructions'>
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# --hints--
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</section>
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It should pass all Python tests.
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## Tests
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<section id='tests'>
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```yml
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tests:
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- text: 'It should pass all Python tests.'
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testString: ''
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```js
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```
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</section>
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# --seed--
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## Challenge Seed
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<section id='challengeSeed'>
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</section>
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## Solution
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<section id='solution'>
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# --solutions--
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```py
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# Python challenges don't need solutions,
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# because they would need to be tested against a full working project.
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# Please check our contributing guidelines to learn more.
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```
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</section>
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@@ -4,46 +4,30 @@ title: Page View Time Series Visualizer
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challengeType: 10
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---
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## Description
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<section id='description'>
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# --description--
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For this project you will visualize time series data using a line chart, bar chart, and box plots. You will use Pandas, matplotlib, and seaborn to visualize a dataset containing the number of page views each day on the freeCodeCamp.org forum from 2016-05-09 to 2019-12-03. The data visualizations will help you understand the patterns in visits and identify yearly and monthly growth.
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You can access <a href='https://repl.it/github/freeCodeCamp/boilerplate-page-view-time-series-visualizer' target='_blank'>the full project description and starter code on Repl.it</a>.
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You can access [the full project description and starter code on Repl.it](https://repl.it/github/freeCodeCamp/boilerplate-page-view-time-series-visualizer).
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After going to that link, fork the project. Once you complete the project based on the instructions in 'README.md', submit your project link below.
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We are still developing the interactive instructional part of the data analysis with Python curriculum. For now, you will have to use other resources to learn how to pass this challenge.
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</section>
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## Instructions
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<section id='instructions'>
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# --hints--
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</section>
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It should pass all Python tests.
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## Tests
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<section id='tests'>
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```yml
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tests:
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- text: 'It should pass all Python tests.'
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testString: ''
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```js
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```
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</section>
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# --seed--
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## Challenge Seed
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<section id='challengeSeed'>
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</section>
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## Solution
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<section id='solution'>
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# --solutions--
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```py
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# Python challenges don't need solutions,
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# because they would need to be tested against a full working project.
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# Please check our contributing guidelines to learn more.
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```
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</section>
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@@ -4,46 +4,30 @@ title: Sea Level Predictor
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challengeType: 10
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---
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## Description
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<section id='description'>
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# --description--
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In this project, you will analyze a dataset of the global average sea level change since 1880. You will use the data to predict the sea level change through year 2050.
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You can access <a href='https://repl.it/github/freeCodeCamp/boilerplate-sea-level-predictor' target='_blank'>the full project description and starter code on Repl.it</a>.
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You can access [the full project description and starter code on Repl.it](https://repl.it/github/freeCodeCamp/boilerplate-sea-level-predictor).
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After going to that link, fork the project. Once you complete the project based on the instructions in 'README.md', submit your project link below.
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We are still developing the interactive instructional part of the data analysis with Python curriculum. For now, you will have to use other resources to learn how to pass this challenge.
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</section>
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## Instructions
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<section id='instructions'>
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# --hints--
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</section>
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It should pass all Python tests.
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## Tests
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<section id='tests'>
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```yml
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tests:
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- text: 'It should pass all Python tests.'
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testString: ''
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```js
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```
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</section>
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# --seed--
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## Challenge Seed
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<section id='challengeSeed'>
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</section>
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## Solution
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<section id='solution'>
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# --solutions--
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```py
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# Python challenges don't need solutions,
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# because they would need to be tested against a full working project.
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# Please check our contributing guidelines to learn more.
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```
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</section>
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