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feat: Add more video challenges (#38598)

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Co-authored-by: Tom <20648924+moT01@users.noreply.github.com>
This commit is contained in:
Beau Carnes
2020-04-21 12:42:19 -04:00
committed by Mrugesh Mohapatra
parent cb88dcf1e6
commit 03c9e47be9
53 changed files with 1298 additions and 202 deletions
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2
curriculum/challenges/_meta/data-analysis-with-python-projects/meta.json
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@@ -1,7 +1,7 @@
{
"name": "Data Analysis with Python Projects",
"dashedName": "data-analysis-with-python-projects",
"order": 1,
"order": 3,
"time": "150 hours",
"superBlock": "data-analysis-with-python",
"superOrder": 8,

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curriculum/challenges/_meta/lectures-data-analysis-with-python/meta.json Normal file
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{
"name": "Data Analysis with Python Course",
"dashedName": "lectures-data-analysis-with-python",
"order": 1,
"time": "15 hours",
"template": "",
"required": [],
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"superOrder": 8,
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"5e9a093a74c4063ca6f7c14c",
"Introduction to Data Analysis"
],
[
"5e9a093a74c4063ca6f7c14d",
"Data Analysis Example A"
],
[
"5e9a093a74c4063ca6f7c14e",
"Data Analysis Example B"
],
[
"5e9a093a74c4063ca6f7c14f",
"How to use Jupyter Notebooks Intro"
],
[
"5e9a093a74c4063ca6f7c150",
"upyter Notebooks Cells"
],
[
"5e9a093a74c4063ca6f7c151",
"Jupyter Notebooks Importing and Exporting Data"
],
[
"5e9a093a74c4063ca6f7c152",
"Numpy Introduction A"
],
[
"5e9a093a74c4063ca6f7c153",
"Numpy Introduction B"
],
[
"5e9a093a74c4063ca6f7c154",
"Numpy Arrays"
],
[
"5e9a093a74c4063ca6f7c155",
"Numpy Operations"
],
[
"5e9a093a74c4063ca6f7c156",
"Numpy Boolean Arrays"
],
[
"5e9a093a74c4063ca6f7c157",
"Numpy Algebra and Size"
],
[
"5e9a093a74c4063ca6f7c158",
"Pandas Introduction"
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[
"5e9a093a74c4063ca6f7c159",
"Pandas Indexing and Conditional Selection"
],
[
"5e9a093a74c4063ca6f7c15a",
"Pandas DataFrames"
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[
"5e9a093a74c4063ca6f7c15b",
"Pandas Condtitional Selection and Modifying DataFrames"
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[
"5e9a093a74c4063ca6f7c15c",
"Pandas Creating Columns"
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[
"5e9a093a74c4063ca6f7c15d",
"Data Cleaning Introduction"
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[
"5e9a093a74c4063ca6f7c15e",
"Data Cleaning with DataFrames"
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],
[
"5e9a093a74c4063ca6f7c161",
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],
[
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],
[
"5e9a093a74c4063ca6f7c163",
"Reading Data from Databases"
],
[
"5e9a093a74c4063ca6f7c164",
"Parsing HTML and Saving Data"
],
[
"5e9a093a74c4063ca6f7c165",
"Python Introduction"
],
[
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}

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curriculum/challenges/_meta/lectures-how-neural-networks-work/meta.json Normal file
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{
"name": "How Neural Networks Work",
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"template": "",
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[
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"Deep Learning Demystified"
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"fileName": "11-machine-learning-with-python/lectures-how-neural-networks-work.json"
}

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curriculum/challenges/_meta/lectures-numpy/meta.json Normal file
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{
"name": "Numpy",
"dashedName": "lectures-numpy",
"order": 2,
"time": "5 hours",
"template": "",
"required": [],
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"5e9a0a8e09c5df3cc3600ed2",
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[
"5e9a0a8e09c5df3cc3600ed3",
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[
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"Accessing and Changing Elements, Rows, Columns"
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[
"5e9a0a8e09c5df3cc3600ed5",
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[
"5e9a0a8e09c5df3cc3600ed6",
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[
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"Copying Arrays Warning"
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[
"5e9a0a8e09c5df3cc3600ed8",
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"Reorganizing Arrays"
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}

2
curriculum/challenges/_meta/machine-learning-with-python-projects/meta.json
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@@ -1,7 +1,7 @@
{
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"dashedName": "machine-learning-with-python-projects",
"order": 2,
"order": 3,
"time": "150 hours",
"superBlock": "machine-learning-with-python",
"superOrder": 10,