chore: enable python curriculum (#39118)
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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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isHidden: true
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isHidden: false
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videoId: nVAaxZ34khk
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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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isHidden: true
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isHidden: false
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videoId: 0kJz0q0pvgQ
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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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isHidden: true
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isHidden: false
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videoId: mHjxzFS5_Z0
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id: 5e9a093a74c4063ca6f7c15f
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title: Data Cleaning Duplicates
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: kj7QqjXhH6A
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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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isHidden: true
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isHidden: false
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videoId: ovYNhnltVxY
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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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isHidden: true
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isHidden: false
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videoId: sTMN_pdI6S0
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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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isHidden: true
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isHidden: false
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videoId: h8caJq2Bb9w
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id: 5e9a093a74c4063ca6f7c14c
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title: Introduction to Data Analysis
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: VJrP2FUzKP0
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id: 5e9a093a74c4063ca6f7c150
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title: Jupyter Notebooks Cells
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: 5PPegAs9aLA
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id: 5e9a093a74c4063ca6f7c151
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title: Jupyter Notebooks Importing and Exporting Data
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: k1msxD3JIxE
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---
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id: 5e9a093a74c4063ca6f7c157
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title: Numpy Algebra and Size
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: XAT97YLOKD8
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id: 5e9a093a74c4063ca6f7c154
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title: Numpy Arrays
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: VDYVFHBL1AM
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---
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id: 5e9a093a74c4063ca6f7c156
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title: Numpy Boolean Arrays
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: N1ttsMmcVMM
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---
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id: 5e9a093a74c4063ca6f7c152
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title: Numpy Introduction A
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: P-JjV6GBCmk
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---
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id: 5e9a093a74c4063ca6f7c153
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title: Numpy Introduction B
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: YIqgrNLAZkA
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---
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id: 5e9a093a74c4063ca6f7c155
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title: Numpy Operations
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: eqSVcJbaPdk
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---
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id: 5e9a093a74c4063ca6f7c15b
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title: Pandas Condtitional Selection and Modifying DataFrames
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: BFlH0fN5xRQ
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id: 5e9a093a74c4063ca6f7c15c
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title: Pandas Creating Columns
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: _sSo2XZoB3E
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---
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@ -35,7 +35,7 @@ question:
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- |
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```py
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certificates_earned['Certificates per month'] = round(
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certificates_earned['Certificates'] /
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certificates_earned['Certificates'] /
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certificates_earned['Time (in months)']
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)
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```
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id: 5e9a093a74c4063ca6f7c15a
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title: Pandas DataFrames
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: 7SgFBYXaiH0
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---
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id: 5e9a093a74c4063ca6f7c159
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title: Pandas Indexing and Conditional Selection
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: -ZOrgV_aA9A
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---
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import pandas as pd
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certificates_earned = pd.Series(
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[8, 2, 5, 6],
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[8, 2, 5, 6],
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index=['Tom', 'Kris', 'Ahmad', 'Beau']
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)
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id: 5e9a093a74c4063ca6f7c158
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title: Pandas Introduction
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: 0xACW-8cZU0
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---
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import pandas as pd
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certificates_earned = pd.Series(
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[8, 2, 5, 6],
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[8, 2, 5, 6],
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index=['Tom', 'Kris', 'Ahmad', 'Beau']
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)
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id: 5e9a093a74c4063ca6f7c164
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title: Parsing HTML and Saving Data
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: bJaqnTWQmb0
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---
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id: 5e9a093a74c4063ca6f7c166
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title: Python Functions and Collections
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: NzpU17ZVlUw
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---
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id: 5e9a093a74c4063ca6f7c165
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title: Python Introduction
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: PrQV9JkLhb4
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---
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id: 5e9a093a74c4063ca6f7c167
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title: Python Iteration and Modules
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: XzosGWLafrY
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---
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id: 5e9a093a74c4063ca6f7c162
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title: Reading Data CSV and TXT
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: ViGEv0zOzUk
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---
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id: 5e9a093a74c4063ca6f7c163
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title: Reading Data from Databases
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: MtgXS1MofRw
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---
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id: 5e9a093a74c4063ca6f7c161
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title: Reading Data Introduction
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: cDnt02BcHng
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---
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name, certs_num, months_num = values
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print(f"{name} earned {__C__} certificates in {months_num} months")
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```
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answers:
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- |
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A: `'certificates.csv'`
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B: `'-'`
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B: `'-'`
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C: `values`
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- |
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A: `'certificates.csv'`
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B: `'$'`
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C: `certs_num`
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- |
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A: `'certificates'`
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B: `'$'`
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C: `certs_num`
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solution: 2
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```
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id: 5e46f7e5ac417301a38fb929
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title: Demographic Data Analyzer
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challengeType: 10
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isHidden: true
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isHidden: false
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isRequired: true
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id: 5e46f7e5ac417301a38fb928
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title: Mean-Variance-Standard Deviation Calculator
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challengeType: 10
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isHidden: true
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isHidden: false
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isRequired: true
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id: 5e46f7f8ac417301a38fb92a
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title: Medical Data Visualizer
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challengeType: 10
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isHidden: true
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isHidden: false
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isRequired: true
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---
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id: 5e46f802ac417301a38fb92b
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title: Page View Time Series Visualizer
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challengeType: 10
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isHidden: true
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isHidden: false
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isRequired: true
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---
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id: 5e4f5c4b570f7e3a4949899f
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title: Sea Level Predictor
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challengeType: 10
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isHidden: true
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isHidden: false
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isRequired: true
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---
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id: 5e9a0a8e09c5df3cc3600ed4
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title: Accessing and Changing Elements, Rows, Columns
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: v-7Y7koJ_N0
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---
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id: 5e9a0a8e09c5df3cc3600ed3
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title: Basics of Numpy
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: f9QrZrKQMLI
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---
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id: 5e9a0a8e09c5df3cc3600ed7
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title: Copying Arrays Warning
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: iIoQ0_L0GvA
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---
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id: 5e9a0a8e09c5df3cc3600ed6
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title: Initialize Array Problem
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: 0jGfH8BPfOk
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id: 5e9a0a8e09c5df3cc3600ed5
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title: Initializing Different Arrays
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: CEykdsKT4U4
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---
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question:
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text: |
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What will the following code print?:
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```py
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a = np.array([[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]])
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id: 5e9a0a8e09c5df3cc3600eda
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title: Loading Data and Advanced Indexing
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: tUdBZ7pF8Jg
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---
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```py
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[29. 32. 45. 15. 5. 22.]
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```
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answers:
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- |
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```
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id: 5e9a0a8e09c5df3cc3600ed8
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title: Mathematics
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: 7txegvyhtVk
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---
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id: 5e9a0a8e09c5df3cc3600ed9
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title: Reorganizing Arrays
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: VNWAQbEM-C8
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---
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id: 5e9a0a8e09c5df3cc3600ed2
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title: What is NumPy
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challengeType: 11
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isHidden: true
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isHidden: false
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videoId: 5Nwfs5Ej85Q
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---
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