feat(curriculum): restore seed + solution to Chinese (#40683)
* feat(tools): add seed/solution restore script * chore(curriculum): remove empty sections' markers * chore(curriculum): add seed + solution to Chinese * chore: remove old formatter * fix: update getChallenges parse translated challenges separately, without reference to the source * chore(curriculum): add dashedName to English * chore(curriculum): add dashedName to Chinese * refactor: remove unused challenge property 'name' * fix: relax dashedName requirement * fix: stray tag Remove stray `pre` tag from challenge file. Signed-off-by: nhcarrigan <nhcarrigan@gmail.com> Co-authored-by: nhcarrigan <nhcarrigan@gmail.com>
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Oliver Eyton-Williams
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@ -3,6 +3,7 @@ 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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dashedName: data-analysis-example-a
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---
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# --description--
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@ -3,6 +3,7 @@ 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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dashedName: data-analysis-example-b
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---
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# --description--
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@ -3,6 +3,7 @@ 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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dashedName: data-cleaning-and-visualizations
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---
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# --description--
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@ -3,6 +3,7 @@ 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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dashedName: data-cleaning-duplicates
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---
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# --description--
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@ -3,6 +3,7 @@ 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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dashedName: data-cleaning-introduction
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---
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# --description--
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@ -3,6 +3,7 @@ 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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dashedName: data-cleaning-with-dataframes
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---
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# --description--
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@ -3,6 +3,7 @@ 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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dashedName: how-to-use-jupyter-notebooks-intro
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---
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# --description--
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@ -3,6 +3,7 @@ id: 5e9a093a74c4063ca6f7c14c
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title: Introduction to Data Analysis
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challengeType: 11
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videoId: VJrP2FUzKP0
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dashedName: introduction-to-data-analysis
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---
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# --description--
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@ -3,6 +3,7 @@ id: 5e9a093a74c4063ca6f7c150
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title: Jupyter Notebooks Cells
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challengeType: 11
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videoId: 5PPegAs9aLA
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dashedName: jupyter-notebooks-cells
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---
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# --description--
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@ -3,6 +3,7 @@ id: 5e9a093a74c4063ca6f7c151
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title: Jupyter Notebooks Importing and Exporting Data
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challengeType: 11
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videoId: k1msxD3JIxE
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dashedName: jupyter-notebooks-importing-and-exporting-data
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---
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# --description--
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@ -3,6 +3,7 @@ id: 5e9a093a74c4063ca6f7c157
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title: Numpy Algebra and Size
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challengeType: 11
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videoId: XAT97YLOKD8
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dashedName: numpy-algebra-and-size
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---
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# --description--
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@ -3,6 +3,7 @@ id: 5e9a093a74c4063ca6f7c154
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title: Numpy Arrays
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challengeType: 11
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videoId: VDYVFHBL1AM
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dashedName: numpy-arrays
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---
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# --description--
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@ -3,6 +3,7 @@ id: 5e9a093a74c4063ca6f7c156
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title: Numpy Boolean Arrays
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challengeType: 11
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videoId: N1ttsMmcVMM
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dashedName: numpy-boolean-arrays
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---
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# --description--
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@ -3,6 +3,7 @@ id: 5e9a093a74c4063ca6f7c152
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title: Numpy Introduction A
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challengeType: 11
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videoId: P-JjV6GBCmk
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dashedName: numpy-introduction-a
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---
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# --description--
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@ -3,6 +3,7 @@ id: 5e9a093a74c4063ca6f7c153
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title: Numpy Introduction B
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challengeType: 11
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videoId: YIqgrNLAZkA
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dashedName: numpy-introduction-b
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---
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# --description--
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title: Numpy Operations
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challengeType: 11
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videoId: eqSVcJbaPdk
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dashedName: numpy-operations
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---
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# --description--
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@ -3,6 +3,7 @@ id: 5e9a093a74c4063ca6f7c15b
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title: Pandas Conditional Selection and Modifying DataFrames
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challengeType: 11
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videoId: BFlH0fN5xRQ
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dashedName: pandas-conditional-selection-and-modifying-dataframes
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---
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# --description--
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@ -3,6 +3,7 @@ id: 5e9a093a74c4063ca6f7c15c
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title: Pandas Creating Columns
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challengeType: 11
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videoId: _sSo2XZoB3E
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dashedName: pandas-creating-columns
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---
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# --description--
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@ -3,6 +3,7 @@ id: 5e9a093a74c4063ca6f7c15a
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title: Pandas DataFrames
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challengeType: 11
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videoId: 7SgFBYXaiH0
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dashedName: pandas-dataframes
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---
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# --description--
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@ -3,6 +3,7 @@ id: 5e9a093a74c4063ca6f7c159
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title: Pandas Indexing and Conditional Selection
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challengeType: 11
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videoId: '-ZOrgV_aA9A'
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dashedName: pandas-indexing-and-conditional-selection
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---
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# --description--
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@ -3,6 +3,7 @@ id: 5e9a093a74c4063ca6f7c158
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title: Pandas Introduction
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challengeType: 11
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videoId: 0xACW-8cZU0
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dashedName: pandas-introduction
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---
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# --description--
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@ -3,6 +3,7 @@ id: 5e9a093a74c4063ca6f7c164
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title: Parsing HTML and Saving Data
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challengeType: 11
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videoId: bJaqnTWQmb0
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dashedName: parsing-html-and-saving-data
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---
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# --description--
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@ -3,6 +3,7 @@ id: 5e9a093a74c4063ca6f7c166
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title: Python Functions and Collections
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challengeType: 11
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videoId: NzpU17ZVlUw
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dashedName: python-functions-and-collections
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---
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# --description--
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@ -3,6 +3,7 @@ id: 5e9a093a74c4063ca6f7c165
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title: Python Introduction
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challengeType: 11
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videoId: PrQV9JkLhb4
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dashedName: python-introduction
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---
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# --description--
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@ -3,6 +3,7 @@ id: 5e9a093a74c4063ca6f7c167
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title: Python Iteration and Modules
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challengeType: 11
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videoId: XzosGWLafrY
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dashedName: python-iteration-and-modules
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---
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# --description--
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@ -3,6 +3,7 @@ id: 5e9a093a74c4063ca6f7c162
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title: Reading Data CSV and TXT
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challengeType: 11
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videoId: ViGEv0zOzUk
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dashedName: reading-data-csv-and-txt
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---
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# --description--
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@ -3,6 +3,7 @@ id: 5e9a093a74c4063ca6f7c163
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title: Reading Data from Databases
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challengeType: 11
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videoId: MtgXS1MofRw
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dashedName: reading-data-from-databases
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---
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# --description--
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@ -3,6 +3,7 @@ id: 5e9a093a74c4063ca6f7c161
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title: Reading Data Introduction
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challengeType: 11
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videoId: cDnt02BcHng
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dashedName: reading-data-introduction
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---
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# --description--
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