feat(learn): python certification projects (#38216)

Co-authored-by: Oliver Eyton-Williams <ojeytonwilliams@gmail.com>
Co-authored-by: Kristofer Koishigawa <scissorsneedfoodtoo@gmail.com>
Co-authored-by: Beau Carnes <beaucarnes@gmail.com>
This commit is contained in:
mrugesh
2020-02-25 00:10:32 +05:30
committed by Mrugesh Mohapatra
parent 3c3ceaa3f5
commit 22afc2a0ca
771 changed files with 1719 additions and 61 deletions

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---
id: 5e46f979ac417301a38fb932
title: Port Scanner
challengeType: 10
isRequired: true
---
## Description
<section id='description'>
Create a port scanner using Python.
You can access <a href='https://repl.it/@freeCodeCamp/fcc-port-scanner' target='_blank'>the full project description and starter code on repl.it</a>.
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.
We are still developing the interactive instructional part of the Python curriculum. For now, here are some videos on the freeCodeCamp.org YouTube channel that will teach you some of the Python skills required for this project:
<ul>
<li>
<a href='https://www.freecodecamp.org/news/python-for-everybody/'>Python for Everybody Video Course</a> (14 hours)
</li>
<li>
<a href='https://www.freecodecamp.org/news/learn-python-basics-in-depth-video-course/'>Learn Python Video Course</a> (2 hours)
</li>
<ul>
</section>
## Instructions
<section id='instructions'>
</section>
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should pass all Python tests.'
testString: ''
```
</section>
## Challenge Seed
<section id='challengeSeed'>
</section>
## Solution
<section id='solution'>
```py
# Python challenges don't need solutions,
# because they would need to be tested against a full working project.
# Please check our contributing guidelines to learn more.
```
</section>

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---
id: 5e46f983ac417301a38fb933
title: SHA-1 Password Cracker
challengeType: 10
isRequired: true
---
## Description
<section id='description'>
For this project you will learn about the importance of good security by creating a password cracker to figure out passwords that were hashed using SHA-1.
You can access <a href='https://repl.it/@freeCodeCamp/fcc-brute-force-password-cracker' target='_blank'>the full project description and starter code on repl.it</a>.
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.
We are still developing the interactive instructional part of the Python curriculum. For now, here are some videos on the freeCodeCamp.org YouTube channel that will teach you some of the Python skills required for this project:
<ul>
<li>
<a href='https://www.freecodecamp.org/news/python-for-everybody/'>Python for Everybody Video Course</a> (14 hours)
</li>
<li>
<a href='https://www.freecodecamp.org/news/learn-python-basics-in-depth-video-course/'>Learn Python Video Course</a> (2 hours)
</li>
<ul>
</section>
## Instructions
<section id='instructions'>
</section>
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should pass all Python tests.'
testString: ''
```
</section>
## Challenge Seed
<section id='challengeSeed'>
</section>
## Solution
<section id='solution'>
```py
# Python challenges don't need solutions,
# because they would need to be tested against a full working project.
# Please check our contributing guidelines to learn more.
```
</section>

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---
id: 5e44412c903586ffb414c94c
title: Arithmetic Formatter
challengeType: 10
isRequired: true
---
## Description
<section id='description'>
Create a function that receives a list of strings that are arithmetic problems and returns the problems arranged vertically and side-by-side.
You can access <a href='https://repl.it/@freeCodeCamp/fcc-arithmetic-arranger' target='_blank'>the full project description and starter code on repl.it</a>.
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.
We are still developing the interactive instructional part of the Python curriculum. For now, here are some videos on the freeCodeCamp.org YouTube channel that will teach you everything you need to know to complete this project:
<ul>
<li>
<a href='https://www.freecodecamp.org/news/python-for-everybody/'>Python for Everybody Video Course</a> (14 hours)
</li>
<li>
<a href='https://www.freecodecamp.org/news/learn-python-basics-in-depth-video-course/'>Learn Python Video Course</a> (2 hours)
</li>
<ul>
</section>
## Instructions
<section id='instructions'>
</section>
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should correctly format an arithmetic problem and pass all tests.'
testString: ''
```
</section>
## Challenge Seed
<section id='challengeSeed'>
</section>
## Solution
<section id='solution'>
```js
/**
Backend challenges don't need solutions,
because they would need to be tested against a full working project.
Please check our contributing guidelines to learn more.
*/
```
</section>

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---
id: 5e44413e903586ffb414c94e
title: Budget App
challengeType: 10
isRequired: true
---
## Description
<section id='description'>
Create a "Category" class that can be used to create different budget categories.
You can access <a href='https://repl.it/@freeCodeCamp/fcc-budget-app' target='_blank'>the full project description and starter code on repl.it</a>.
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.
We are still developing the interactive instructional part of the Python curriculum. For now, here are some videos on the freeCodeCamp.org YouTube channel that will teach you everything you need to know to complete this project:
<ul>
<li>
<a href='https://www.freecodecamp.org/news/python-for-everybody/'>Python for Everybody Video Course</a> (14 hours)
</li>
<li>
<a href='https://www.freecodecamp.org/news/learn-python-basics-in-depth-video-course/'>Learn Python Video Course</a> (2 hours)
</li>
<ul>
</section>
## Instructions
<section id='instructions'>
</section>
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should create a Category class and pass all tests.'
testString: ''
```
</section>
## Challenge Seed
<section id='challengeSeed'>
</section>
## Solution
<section id='solution'>
```js
/**
Backend challenges don't need solutions,
because they would need to be tested against a full working project.
Please check our contributing guidelines to learn more.
*/
```
</section>

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---
id: 5e444147903586ffb414c94f
title: Polygon Area Calculator
challengeType: 10
isRequired: true
---
## Description
<section id='description'>
In this project you will use object oriented programming to create a Rectangle class and a Square class. The Square class should be a subclass of Rectangle and inherit methods and attributes.
You can access <a href='https://repl.it/@freeCodeCamp/fcc-shape-calculator' target='_blank'>the full project description and starter code on repl.it</a>.
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.
We are still developing the interactive instructional part of the Python curriculum. For now, here are some videos on the freeCodeCamp.org YouTube channel that will teach you everything you need to know to complete this project:
<ul>
<li>
<a href='https://www.freecodecamp.org/news/python-for-everybody/'>Python for Everybody Video Course</a> (14 hours)
</li>
<li>
<a href='https://www.freecodecamp.org/news/learn-python-basics-in-depth-video-course/'>Learn Python Video Course</a> (2 hours)
</li>
<ul>
</section>
## Instructions
<section id='instructions'>
</section>
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should create a Rectangle class and Square class and pass all tests.'
testString: ''
```
</section>
## Challenge Seed
<section id='challengeSeed'>
</section>
## Solution
<section id='solution'>
```js
/**
Backend challenges don't need solutions,
because they would need to be tested against a full working project.
Please check our contributing guidelines to learn more.
*/
```
</section>

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---
id: 5e44414f903586ffb414c950
title: Probability Calculator
challengeType: 10
isRequired: true
---
## Description
<section id='description'>
Write a program to determine the approximate probability of drawing certain balls randomly from a hat.
You can access <a href='https://repl.it/@freeCodeCamp/fcc-probability-calculator' target='_blank'>the full project description and starter code on repl.it</a>. 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.
We are still developing the interactive instructional part of the Python curriculum. For now, here are some videos on the freeCodeCamp.org YouTube channel that will teach you everything you need to know to complete this project:
<ul>
<li>
<a href='https://www.freecodecamp.org/news/python-for-everybody/'>Python for Everybody Video Course</a> (14 hours)
</li>
<li>
<a href='https://www.freecodecamp.org/news/learn-python-basics-in-depth-video-course/'>Learn Python Video Course</a> (2 hours)
</li>
<ul>
</section>
## Instructions
<section id='instructions'>
</section>
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should correctly calculate probabilities and pass all tests.'
testString: ''
```
</section>
## Challenge Seed
<section id='challengeSeed'>
</section>
## Solution
<section id='solution'>
```js
/**
Backend challenges don't need solutions,
because they would need to be tested against a full working project.
Please check our contributing guidelines to learn more.
*/
```
</section>

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---
id: 5e444136903586ffb414c94d
title: Time Calculator
challengeType: 10
isRequired: true
---
## Description
<section id='description'>
Write a function named "add_time" that can add a duration to a start time and return the result.
You can access <a href='https://repl.it/@freeCodeCamp/fcc-time-calculator' target='_blank'>the full project description and starter code on repl.it</a>. 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.
We are still developing the interactive instructional part of the Python curriculum. For now, here are some videos on the freeCodeCamp.org YouTube channel that will teach you everything you need to know to complete this project:
<ul>
<li>
<a href='https://www.freecodecamp.org/news/python-for-everybody/'>Python for Everybody Video Course</a> (14 hours)
</li>
<li>
<a href='https://www.freecodecamp.org/news/learn-python-basics-in-depth-video-course/'>Learn Python Video Course</a> (2 hours)
</li>
<ul>
</section>
## Instructions
<section id='instructions'>
</section>
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should correctly add times and pass all tests.'
testString: ''
```
</section>
## Challenge Seed
<section id='challengeSeed'>
</section>
## Solution
<section id='solution'>
```js
/**
Backend challenges don't need solutions,
because they would need to be tested against a full working project.
Please check our contributing guidelines to learn more.
*/
```
</section>

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---
id: 5e46f7e5ac417301a38fb929
title: Demographic Data Analyzer
challengeType: 10
isRequired: true
---
## Description
<section id='description'>
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.
You can access <a href='https://repl.it/@freeCodeCamp/fcc-demographic-data-analyzer' target='_blank'>the full project description and starter code on repl.it</a>.
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.
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.
</section>
## Instructions
<section id='instructions'>
</section>
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should pass all Python tests.'
testString: ''
```
</section>
## Challenge Seed
<section id='challengeSeed'>
</section>
## Solution
<section id='solution'>
```py
# Python challenges don't need solutions,
# because they would need to be tested against a full working project.
# Please check our contributing guidelines to learn more.
```
</section>

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---
id: 5e46f7e5ac417301a38fb928
title: Mean-Variance-Standard Deviation Calculator
challengeType: 10
isRequired: true
---
## Description
<section id='description'>
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.
You can access <a href='https://repl.it/@freeCodeCamp/fcc-mean-var-std' target='_blank'>the full project description and starter code on repl.it</a>.
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.
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.
</section>
## Instructions
<section id='instructions'>
</section>
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should pass all Python tests.'
testString: ''
```
</section>
## Challenge Seed
<section id='challengeSeed'>
</section>
## Solution
<section id='solution'>
```py
# Python challenges don't need solutions,
# because they would need to be tested against a full working project.
# Please check our contributing guidelines to learn more.
```
</section>

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---
id: 5e46f7f8ac417301a38fb92a
title: Medical Data Visualizer
challengeType: 10
isRequired: true
---
## Description
<section id='description'>
In this project, you will visualize and make calculations from medical examination data using matplotlib, seaborn, and pandas.
You can access <a href='https://repl.it/@freeCodeCamp/fcc-medical-data-visualizer' target='_blank'>the full project description and starter code on repl.it</a>.
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.
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.
</section>
## Instructions
<section id='instructions'>
</section>
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should pass all Python tests.'
testString: ''
```
</section>
## Challenge Seed
<section id='challengeSeed'>
</section>
## Solution
<section id='solution'>
```py
# Python challenges don't need solutions,
# because they would need to be tested against a full working project.
# Please check our contributing guidelines to learn more.
```
</section>

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---
id: 5e46f802ac417301a38fb92b
title: Page View Time Series Visualizer
challengeType: 10
isRequired: true
---
## Description
<section id='description'>
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.
You can access <a href='https://repl.it/@freeCodeCamp/fcc-time-series-visualizer' target='_blank'>the full project description and starter code on repl.it</a>.
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.
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.
</section>
## Instructions
<section id='instructions'>
</section>
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should pass all Python tests.'
testString: ''
```
</section>
## Challenge Seed
<section id='challengeSeed'>
</section>
## Solution
<section id='solution'>
```py
# Python challenges don't need solutions,
# because they would need to be tested against a full working project.
# Please check our contributing guidelines to learn more.
```
</section>

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---
id: 5e4f5c4b570f7e3a4949899f
title: Sea Level Predictor
challengeType: 10
isRequired: true
---
## Description
<section id='description'>
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.
You can access <a href='https://repl.it/@freeCodeCamp/fcc-sea-level-predictor' target='_blank'>the full project description and starter code on repl.it</a>.
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.
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.
</section>
## Instructions
<section id='instructions'>
</section>
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should pass all Python tests.'
testString: ''
```
</section>
## Challenge Seed
<section id='challengeSeed'>
</section>
## Solution
<section id='solution'>
```py
# Python challenges don't need solutions,
# because they would need to be tested against a full working project.
# Please check our contributing guidelines to learn more.
```
</section>

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---
id: 5e46f8e3ac417301a38fb92f
title: Book Recommendation Engine using KNN
challengeType: 10
isRequired: true
---
## Description
<section id='description'>
In this challenge, you will create a book recommendation algorithm using K-Nearest Neighbors.
You will use the Book-Crossings dataset. This dataset contains 1.1 million ratings (scale of 1-10) of 270,000 books by 90,000 users.
You can access <a href='https://colab.research.google.com/drive/1TDgXyXqZwsiGlnuF-bmQ2Rh3x5NcrHEn' target='_blank'>the full project instructions and starter code on Google Colaboratory</a>.
After going to that link, create a copy of the notebook either in your own account or locally. Once you complete the project and it passes the test (included at that link), submit your project link below. If you are submitting a Google Colaboratory link, make sure to turn on link sharing for "anyone with the link."
We are still developing the interactive instructional content for the machine learning curriculum. For now, check out these learning resources on the freeCodeCamp.org YouTube channel:
<ul>
<li>
<a href='https://www.freecodecamp.org/news/learn-to-develop-neural-networks-using-tensorflow-2-0-in-this-beginners-course/'>TensorFlow 2.0 Course</a> (2 hours)
</li>
<li>
<a href='https://www.youtube.com/playlist?list=PLWKjhJtqVAblStefaz_YOVpDWqcRScc2s'>Machine learning playlist</a>
</li>
<ul>
</section>
## Instructions
<section id='instructions'>
</section>
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should pass all Python tests.'
testString: ''
```
</section>
## Challenge Seed
<section id='challengeSeed'>
</section>
## Solution
<section id='solution'>
```py
# Python challenges don't need solutions,
# because they would need to be tested against a full working project.
# Please check our contributing guidelines to learn more.
```
</section>

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---
id: 5e46f8dcac417301a38fb92e
title: Cat and Dog Image Classifier
challengeType: 10
isRequired: true
---
## Description
<section id='description'>
For this challenge, you will use Tensorflow 2.0 and Karas to create a convolutional neural network that correctly classifies images of cats and dogs with at least 63% accuracy.
You can access <a href='https://colab.research.google.com/drive/1UCHiRuBLxo0S3aMuiDXlaP54LsxzrXHz' target='_blank'>the full project instructions and starter code on Google Colaboratory</a>.
After going to that link, create a copy of the notebook either in your own account or locally. Once you complete the project and it passes the test (included at that link), submit your project link below. If you are submitting a Google Colaboratory link, make sure to turn on link sharing for "anyone with the link."
We are still developing the interactive instructional content for the machine learning curriculum. For now, check out these learning resources on the freeCodeCamp.org YouTube channel:
<ul>
<li>
<a href='https://www.freecodecamp.org/news/learn-to-develop-neural-networks-using-tensorflow-2-0-in-this-beginners-course/'>TensorFlow 2.0 Course</a> (2 hours)
</li>
<li>
<a href='https://www.youtube.com/playlist?list=PLWKjhJtqVAblStefaz_YOVpDWqcRScc2s'>Machine learning playlist</a>
</li>
<ul>
</section>
## Instructions
<section id='instructions'>
</section>
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should pass all Python tests.'
testString: ''
```
</section>
## Challenge Seed
<section id='challengeSeed'>
</section>
## Solution
<section id='solution'>
```py
# Python challenges don't need solutions,
# because they would need to be tested against a full working project.
# Please check our contributing guidelines to learn more.
```
</section>

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---
id: 5e46f8edac417301a38fb930
title: Linear Regression Health Costs Calculator
challengeType: 10
isRequired: true
---
## Description
<section id='description'>
In this challenge, you will predict healthcare costs using a regression algorithm.
You are given a dataset that contains information about different people including their healthcare costs. Use the data to predict healthcare costs based on new data.
You can access <a href='https://colab.research.google.com/drive/1h6SMDpC6o-6TFsgdizb3tk5zgE_DYWEo' target='_blank'>the full project instructions and starter code on Google Colaboratory</a>.
After going to that link, create a copy of the notebook either in your own account or locally. Once you complete the project and it passes the test (included at that link), submit your project link below. If you are submitting a Google Colaboratory link, make sure to turn on link sharing for "anyone with the link."
We are still developing the interactive instructional content for the machine learning curriculum. For now, check out these learning resources on the freeCodeCamp.org YouTube channel:
<ul>
<li>
<a href='https://www.freecodecamp.org/news/learn-to-develop-neural-networks-using-tensorflow-2-0-in-this-beginners-course/'>TensorFlow 2.0 Course</a> (2 hours)
</li>
<li>
<a href='https://www.youtube.com/playlist?list=PLWKjhJtqVAblStefaz_YOVpDWqcRScc2s'>Machine learning playlist</a>
</li>
<ul>
</section>
## Instructions
<section id='instructions'>
</section>
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should pass all Python tests.'
testString: ''
```
</section>
## Challenge Seed
<section id='challengeSeed'>
</section>
## Solution
<section id='solution'>
```py
# Python challenges don't need solutions,
# because they would need to be tested against a full working project.
# Please check our contributing guidelines to learn more.
```
</section>

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---
id: 5e46f8edac417301a38fb931
title: Neural Network SMS Text Classifier
challengeType: 10
isRequired: true
---
## Description
<section id='description'>
In this challenge, you need to create a machine learning model that will classify SMS messages as either "ham" or "spam". A "ham" message is a normal message sent by a friend. A "spam" message is an advertisement or a message sent by a company.
You can access <a href='https://colab.research.google.com/drive/1qfVQwSKAKU-NKPY4ByBhr93EqSqds4dJ' target='_blank'>the full project instructions and starter code on Google Colaboratory</a>.
After going to that link, create a copy of the notebook either in your own account or locally. Once you complete the project and it passes the test (included at that link), submit your project link below. If you are submitting a Google Colaboratory link, make sure to turn on link sharing for "anyone with the link."
We are still developing the interactive instructional content for the machine learning curriculum. For now, check out these learning resources on the freeCodeCamp.org YouTube channel:
<ul>
<li>
<a href='https://www.freecodecamp.org/news/learn-to-develop-neural-networks-using-tensorflow-2-0-in-this-beginners-course/'>TensorFlow 2.0 Course</a> (2 hours)
</li>
<li>
<a href='https://www.youtube.com/playlist?list=PLWKjhJtqVAblStefaz_YOVpDWqcRScc2s'>Machine learning playlist</a>
</li>
<ul>
</section>
## Instructions
<section id='instructions'>
</section>
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should pass all Python tests.'
testString: ''
```
</section>
## Challenge Seed
<section id='challengeSeed'>
</section>
## Solution
<section id='solution'>
```py
# Python challenges don't need solutions,
# because they would need to be tested against a full working project.
# Please check our contributing guidelines to learn more.
```
</section>

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---
id: 5e46f8d6ac417301a38fb92d
title: Rock Paper Scissors
challengeType: 10
isRequired: true
---
## Description
<section id='description'>
For this challenge, you will create a program to play Rock, Paper, Scissors. A program that picks at random will usually win 50% of the time. To pass this challenge your program must play matches against four different bots, winning at least 60% of the games in each match.
You can access <a href='https://repl.it/@freeCodeCamp/fcc-rock-paper-scissors' target='_blank'>the full project description and starter code on repl.it</a>.
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.
We are still developing the interactive instructional part of the machine learning curriculum. For now, you will have to use other resources to learn how to pass this challenge.
</section>
## Instructions
<section id='instructions'>
</section>
## Tests
<section id='tests'>
```yml
tests:
- text: 'It should pass all Python tests.'
testString: ''
```
</section>
## Challenge Seed
<section id='challengeSeed'>
</section>
## Solution
<section id='solution'>
```py
# Python challenges don't need solutions,
# because they would need to be tested against a full working project.
# Please check our contributing guidelines to learn more.
```
</section>

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