feat: Add more video challenges (#38598)
Co-authored-by: Tom <20648924+moT01@users.noreply.github.com>
This commit is contained in:
Beau Carnes
committed by
Mrugesh Mohapatra
Mrugesh Mohapatra
parent
cb88dcf1e6
commit
03c9e47be9
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---
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title: Introduction to the Data Analysis with Python Course Lectures
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block: Data Analysis with Python Course
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superBlock: Data Analysis with Python
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---
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## Introduction to the Data Analysis with Python Course Challenges
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<dfn>Data Analysis with Python Course</dfn> Placeholder Introduction.
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---
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title: Introduction to the Numpy Lectures
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block: Numpy
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superBlock: Data Analysis with Python
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---
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## Introduction to the Numpy Challenges
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<dfn>Numpy</dfn> Placeholder Introduction.
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---
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title: Introduction to the How Neural Networks Work Lectures
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block: How Neural Networks Work
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superBlock: Data Analysis with Python
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---
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## Introduction to the How Neural Networks Work Challenges
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<dfn>How Neural Networks Work</dfn> Placeholder Introduction.
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{
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{
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"name": "Data Analysis with Python Projects",
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"name": "Data Analysis with Python Projects",
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"dashedName": "data-analysis-with-python-projects",
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"dashedName": "data-analysis-with-python-projects",
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"order": 1,
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"order": 3,
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"time": "150 hours",
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"time": "150 hours",
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"superBlock": "data-analysis-with-python",
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"superBlock": "data-analysis-with-python",
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"superOrder": 8,
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"superOrder": 8,
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{
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"name": "Data Analysis with Python Course",
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"dashedName": "lectures-data-analysis-with-python",
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"order": 1,
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"time": "15 hours",
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"template": "",
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"required": [],
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"superBlock": "data-analysis-with-python",
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"superOrder": 8,
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"challengeOrder": [
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[
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"5e9a093a74c4063ca6f7c14c",
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"Introduction to Data Analysis"
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],
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[
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"5e9a093a74c4063ca6f7c14d",
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"Data Analysis Example A"
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],
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[
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"5e9a093a74c4063ca6f7c14e",
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"Data Analysis Example B"
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],
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[
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"5e9a093a74c4063ca6f7c14f",
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"How to use Jupyter Notebooks Intro"
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],
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[
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"5e9a093a74c4063ca6f7c150",
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"upyter Notebooks Cells"
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],
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[
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"5e9a093a74c4063ca6f7c151",
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"Jupyter Notebooks Importing and Exporting Data"
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],
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[
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"5e9a093a74c4063ca6f7c152",
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"Numpy Introduction A"
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],
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[
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"5e9a093a74c4063ca6f7c153",
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"Numpy Introduction B"
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],
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[
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"5e9a093a74c4063ca6f7c154",
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"Numpy Arrays"
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],
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[
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"5e9a093a74c4063ca6f7c155",
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"Numpy Operations"
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],
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[
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"5e9a093a74c4063ca6f7c156",
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"Numpy Boolean Arrays"
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],
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[
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"5e9a093a74c4063ca6f7c157",
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"Numpy Algebra and Size"
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],
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[
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"5e9a093a74c4063ca6f7c158",
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"Pandas Introduction"
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],
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[
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"5e9a093a74c4063ca6f7c159",
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"Pandas Indexing and Conditional Selection"
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],
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[
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"5e9a093a74c4063ca6f7c15a",
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"Pandas DataFrames"
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],
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[
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"5e9a093a74c4063ca6f7c15b",
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"Pandas Condtitional Selection and Modifying DataFrames"
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],
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[
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"5e9a093a74c4063ca6f7c15c",
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"Pandas Creating Columns"
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],
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[
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"5e9a093a74c4063ca6f7c15d",
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"Data Cleaning Introduction"
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],
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[
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"5e9a093a74c4063ca6f7c15e",
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"Data Cleaning with DataFrames"
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],
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[
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"5e9a093a74c4063ca6f7c15f",
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"Data Cleaning Duplicates"
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],
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[
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"5e9a093a74c4063ca6f7c160",
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"Data Cleaning and Visualizations"
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],
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[
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"5e9a093a74c4063ca6f7c161",
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"Reading Data Introduction"
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],
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[
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"5e9a093a74c4063ca6f7c162",
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"Reading Data CSV and TXT"
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],
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[
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"5e9a093a74c4063ca6f7c163",
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"Reading Data from Databases"
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],
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[
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"5e9a093a74c4063ca6f7c164",
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"Parsing HTML and Saving Data"
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],
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[
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"5e9a093a74c4063ca6f7c165",
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"Python Introduction"
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],
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[
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"5e9a093a74c4063ca6f7c166",
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"Python Functions and Collections"
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],
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[
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"5e9a093a74c4063ca6f7c167",
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"Python Iteration and Modules"
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]
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],
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"helpRoom": "Help",
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"fileName": "11-data-analysis-with-python/lectures-data-analysis-with-python.json"
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}
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{
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"name": "How Neural Networks Work",
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"dashedName": "lectures-how-neural-networks-work",
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"order": 2,
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"time": "10 hours",
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"template": "",
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"required": [],
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"superBlock": "machine-learning-with-python",
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"superOrder": 10,
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"challengeOrder": [
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[
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"5e9a0e9ef99a403d019610ca",
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"How Deep Neural Networks Work"
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],
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[
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"5e9a0e9ef99a403d019610cb",
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"Recurrent Neural Networks RNN and Long Short Term Memory LSTM"
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],
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[
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"5e9a0e9ef99a403d019610cc",
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"Deep Learning Demystified"
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],
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[
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"5e9a0e9ef99a403d019610cd",
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"How Convolutional Neural Networks work"
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]
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],
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"helpRoom": "Help",
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"fileName": "11-machine-learning-with-python/lectures-how-neural-networks-work.json"
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}
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50
curriculum/challenges/_meta/lectures-numpy/meta.json
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50
curriculum/challenges/_meta/lectures-numpy/meta.json
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{
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"name": "Numpy",
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"dashedName": "lectures-numpy",
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"order": 2,
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"time": "5 hours",
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"template": "",
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"required": [],
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"superBlock": "data-analysis-with-python",
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"superOrder": 8,
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"challengeOrder": [
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[
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"5e9a0a8e09c5df3cc3600ed2",
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"What is NumPy"
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],
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[
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"5e9a0a8e09c5df3cc3600ed3",
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"Basics of Numpy"
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],
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[
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"5e9a0a8e09c5df3cc3600ed4",
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"Accessing and Changing Elements, Rows, Columns"
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],
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[
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"5e9a0a8e09c5df3cc3600ed5",
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"Initializing Different Arrays"
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],
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[
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"5e9a0a8e09c5df3cc3600ed6",
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"Initialize Array Problem"
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],
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[
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"5e9a0a8e09c5df3cc3600ed7",
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"Copying Arrays Warning"
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],
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[
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"5e9a0a8e09c5df3cc3600ed8",
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"Mathematics"
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],
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[
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"5e9a0a8e09c5df3cc3600ed9",
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"Reorganizing Arrays"
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],
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[
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"5e9a0a8e09c5df3cc3600eda",
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"Loading Data and Advanced Indexing"
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]
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],
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"helpRoom": "Help",
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"fileName": "11-data-analysis-with-python/lectures-numpy.json"
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}
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{
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{
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"name": "Machine Learning with Python Projects",
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"name": "Machine Learning with Python Projects",
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"dashedName": "machine-learning-with-python-projects",
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"dashedName": "machine-learning-with-python-projects",
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"order": 2,
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"order": 3,
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"time": "150 hours",
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"time": "150 hours",
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"superBlock": "machine-learning-with-python",
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"superBlock": "machine-learning-with-python",
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"superOrder": 10,
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"superOrder": 10,
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---
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id: 5e9a093a74c4063ca6f7c14d
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title: Data Analysis Example A
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challengeType: 11
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videoId: nVAaxZ34khk
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---
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## Description
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<section id='description'>
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</section>
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## Tests
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<section id='tests'>
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```yml
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question:
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text: Question
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answers:
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- one
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- two
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- three
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solution: 3
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```
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</section>
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---
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id: 5e9a093a74c4063ca6f7c14e
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title: Data Analysis Example B
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challengeType: 11
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videoId: 0kJz0q0pvgQ
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---
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## Description
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<section id='description'>
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</section>
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## Tests
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<section id='tests'>
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```yml
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question:
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text: Question
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answers:
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- one
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- two
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- three
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solution: 3
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```
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</section>
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---
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id: 5e9a093a74c4063ca6f7c160
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title: Data Cleaning and Visualizations
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challengeType: 11
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videoId: mHjxzFS5_Z0
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---
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## Description
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<section id='description'>
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</section>
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## Tests
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<section id='tests'>
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```yml
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question:
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text: Question
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answers:
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- one
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- two
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- three
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solution: 3
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```
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</section>
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---
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id: 5e9a093a74c4063ca6f7c15f
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title: Data Cleaning Duplicates
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challengeType: 11
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videoId: kj7QqjXhH6A
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---
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## Description
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<section id='description'>
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</section>
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## Tests
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<section id='tests'>
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```yml
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question:
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text: Question
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answers:
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- one
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- two
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- three
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solution: 3
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```
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</section>
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---
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id: 5e9a093a74c4063ca6f7c15d
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title: Data Cleaning Introduction
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challengeType: 11
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videoId: ovYNhnltVxY
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---
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## Description
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<section id='description'>
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</section>
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## Tests
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<section id='tests'>
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```yml
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question:
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text: Question
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answers:
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- one
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- two
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- three
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solution: 3
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```
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</section>
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---
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id: 5e9a093a74c4063ca6f7c15e
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title: Data Cleaning with DataFrames
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challengeType: 11
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videoId: sTMN_pdI6S0
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---
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## Description
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<section id='description'>
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</section>
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## Tests
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<section id='tests'>
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```yml
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question:
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text: Question
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answers:
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- one
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- two
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- three
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solution: 3
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```
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</section>
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---
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id: 5e9a093a74c4063ca6f7c14f
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|
title: How to use Jupyter Notebooks Intro
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challengeType: 11
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videoId: h8caJq2Bb9w
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---
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## Description
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|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a093a74c4063ca6f7c14c
|
||||||
|
title: Introduction to Data Analysis
|
||||||
|
challengeType: 11
|
||||||
|
videoId: VJrP2FUzKP0
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a093a74c4063ca6f7c151
|
||||||
|
title: Jupyter Notebooks Importing and Exporting Data
|
||||||
|
challengeType: 11
|
||||||
|
videoId: k1msxD3JIxE
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a093a74c4063ca6f7c157
|
||||||
|
title: Numpy Algebra and Size
|
||||||
|
challengeType: 11
|
||||||
|
videoId: XAT97YLOKD8
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a093a74c4063ca6f7c154
|
||||||
|
title: Numpy Arrays
|
||||||
|
challengeType: 11
|
||||||
|
videoId: VDYVFHBL1AM
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a093a74c4063ca6f7c156
|
||||||
|
title: Numpy Boolean Arrays
|
||||||
|
challengeType: 11
|
||||||
|
videoId: N1ttsMmcVMM
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a093a74c4063ca6f7c152
|
||||||
|
title: Numpy Introduction A
|
||||||
|
challengeType: 11
|
||||||
|
videoId: P-JjV6GBCmk
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a093a74c4063ca6f7c153
|
||||||
|
title: Numpy Introduction B
|
||||||
|
challengeType: 11
|
||||||
|
videoId: YIqgrNLAZkA
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a093a74c4063ca6f7c155
|
||||||
|
title: Numpy Operations
|
||||||
|
challengeType: 11
|
||||||
|
videoId: eqSVcJbaPdk
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a093a74c4063ca6f7c15b
|
||||||
|
title: Pandas Condtitional Selection and Modifying DataFrames
|
||||||
|
challengeType: 11
|
||||||
|
videoId: BFlH0fN5xRQ
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a093a74c4063ca6f7c15c
|
||||||
|
title: Pandas Creating Columns
|
||||||
|
challengeType: 11
|
||||||
|
videoId: _sSo2XZoB3E
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a093a74c4063ca6f7c15a
|
||||||
|
title: Pandas DataFrames
|
||||||
|
challengeType: 11
|
||||||
|
videoId: 7SgFBYXaiH0
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a093a74c4063ca6f7c159
|
||||||
|
title: Pandas Indexing and Conditional Selection
|
||||||
|
challengeType: 11
|
||||||
|
videoId: -ZOrgV_aA9A
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a093a74c4063ca6f7c158
|
||||||
|
title: Pandas Introduction
|
||||||
|
challengeType: 11
|
||||||
|
videoId: 0xACW-8cZU0
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a093a74c4063ca6f7c164
|
||||||
|
title: Parsing HTML and Saving Data
|
||||||
|
challengeType: 11
|
||||||
|
videoId: bJaqnTWQmb0
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a093a74c4063ca6f7c166
|
||||||
|
title: Python Functions and Collections
|
||||||
|
challengeType: 11
|
||||||
|
videoId: NzpU17ZVlUw
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a093a74c4063ca6f7c165
|
||||||
|
title: Python Introduction
|
||||||
|
challengeType: 11
|
||||||
|
videoId: PrQV9JkLhb4
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a093a74c4063ca6f7c167
|
||||||
|
title: Python Iteration and Modules
|
||||||
|
challengeType: 11
|
||||||
|
videoId: XzosGWLafrY
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a093a74c4063ca6f7c162
|
||||||
|
title: Reading Data CSV and TXT
|
||||||
|
challengeType: 11
|
||||||
|
videoId: ViGEv0zOzUk
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a093a74c4063ca6f7c163
|
||||||
|
title: Reading Data from Databases
|
||||||
|
challengeType: 11
|
||||||
|
videoId: MtgXS1MofRw
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a093a74c4063ca6f7c161
|
||||||
|
title: Reading Data Introduction
|
||||||
|
challengeType: 11
|
||||||
|
videoId: cDnt02BcHng
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a093a74c4063ca6f7c150
|
||||||
|
title: upyter Notebooks Cells
|
||||||
|
challengeType: 11
|
||||||
|
videoId: 5PPegAs9aLA
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a0a8e09c5df3cc3600ed4
|
||||||
|
title: Accessing and Changing Elements, Rows, Columns
|
||||||
|
challengeType: 11
|
||||||
|
videoId: v-7Y7koJ_N0
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a0a8e09c5df3cc3600ed3
|
||||||
|
title: Basics of Numpy
|
||||||
|
challengeType: 11
|
||||||
|
videoId: f9QrZrKQMLI
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a0a8e09c5df3cc3600ed7
|
||||||
|
title: Copying Arrays Warning
|
||||||
|
challengeType: 11
|
||||||
|
videoId: iIoQ0_L0GvA
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a0a8e09c5df3cc3600ed6
|
||||||
|
title: Initialize Array Problem
|
||||||
|
challengeType: 11
|
||||||
|
videoId: 0jGfH8BPfOk
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a0a8e09c5df3cc3600ed5
|
||||||
|
title: Initializing Different Arrays
|
||||||
|
challengeType: 11
|
||||||
|
videoId: CEykdsKT4U4
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a0a8e09c5df3cc3600eda
|
||||||
|
title: Loading Data and Advanced Indexing
|
||||||
|
challengeType: 11
|
||||||
|
videoId: tUdBZ7pF8Jg
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a0a8e09c5df3cc3600ed8
|
||||||
|
title: Mathematics
|
||||||
|
challengeType: 11
|
||||||
|
videoId: 7txegvyhtVk
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a0a8e09c5df3cc3600ed9
|
||||||
|
title: Reorganizing Arrays
|
||||||
|
challengeType: 11
|
||||||
|
videoId: VNWAQbEM-C8
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a0a8e09c5df3cc3600ed2
|
||||||
|
title: What is NumPy
|
||||||
|
challengeType: 11
|
||||||
|
videoId: 5Nwfs5Ej85Q
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -1,50 +0,0 @@
|
|||||||
---
|
|
||||||
id: 5e6a54a558d3af90110a60a0
|
|
||||||
title: Introduction A
|
|
||||||
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>
|
|
||||||
@ -1,50 +0,0 @@
|
|||||||
---
|
|
||||||
id: 5e6a54af58d3af90110a60a1
|
|
||||||
title: Introduction B
|
|
||||||
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>
|
|
||||||
@ -1,50 +0,0 @@
|
|||||||
---
|
|
||||||
id: 5e6a54ba58d3af90110a60a2
|
|
||||||
title: Introduction C
|
|
||||||
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>
|
|
||||||
@ -1,50 +0,0 @@
|
|||||||
---
|
|
||||||
id: 5e6a54c358d3af90110a60a3
|
|
||||||
title: Introduction D
|
|
||||||
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>
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a0e9ef99a403d019610cc
|
||||||
|
title: Deep Learning Demystified
|
||||||
|
challengeType: 11
|
||||||
|
videoId: bejQ-W9BGJg
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a0e9ef99a403d019610cd
|
||||||
|
title: How Convolutional Neural Networks work
|
||||||
|
challengeType: 11
|
||||||
|
videoId: Y5M7KH4A4n4
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a0e9ef99a403d019610ca
|
||||||
|
title: How Deep Neural Networks Work
|
||||||
|
challengeType: 11
|
||||||
|
videoId: zvalnHWGtx4
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
@ -0,0 +1,26 @@
|
|||||||
|
---
|
||||||
|
id: 5e9a0e9ef99a403d019610cb
|
||||||
|
title: Recurrent Neural Networks RNN and Long Short Term Memory LSTM
|
||||||
|
challengeType: 11
|
||||||
|
videoId: UVimlsy9eW0
|
||||||
|
---
|
||||||
|
|
||||||
|
## Description
|
||||||
|
<section id='description'>
|
||||||
|
</section>
|
||||||
|
|
||||||
|
## Tests
|
||||||
|
<section id='tests'>
|
||||||
|
|
||||||
|
```yml
|
||||||
|
question:
|
||||||
|
text: Question
|
||||||
|
answers:
|
||||||
|
- one
|
||||||
|
- two
|
||||||
|
- three
|
||||||
|
solution: 3
|
||||||
|
```
|
||||||
|
|
||||||
|
</section>
|
||||||
|
|
||||||
Reference in New Issue
Block a user