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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ee1e8abd87
@ -2,6 +2,7 @@
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id: 5e9a093a74c4063ca6f7c14d
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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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@ -36,8 +37,3 @@ How many columns the source data had before loading.
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2
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# --hints--
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# --solutions--
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id: 5e9a093a74c4063ca6f7c14e
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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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@ -32,8 +33,3 @@ Returns the first `n` rows based on the integer argument supplied.
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2
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# --hints--
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# --solutions--
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id: 5e9a093a74c4063ca6f7c160
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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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@ -36,8 +37,3 @@ My figure will have one row, two columns, and I am going to start drawing in the
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3
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# --hints--
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# --solutions--
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id: 5e9a093a74c4063ca6f7c15f
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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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@ -32,8 +33,3 @@ contain a duplicate, where the value for the row contains either the first or se
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2
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# --hints--
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# --solutions--
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id: 5e9a093a74c4063ca6f7c15d
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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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@ -55,8 +56,3 @@ dtype: bool
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1
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# --hints--
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# --solutions--
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id: 5e9a093a74c4063ca6f7c15e
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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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@ -63,8 +64,3 @@ dtype: float64
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2
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# --hints--
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# --solutions--
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id: 5e9a093a74c4063ca6f7c14f
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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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@ -34,8 +35,3 @@ An Excel sheet
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3
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# --hints--
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# --solutions--
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id: 5e9a093a74c4063ca6f7c14c
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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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@ -36,8 +37,3 @@ It's free and open source.
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2
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# --hints--
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# --solutions--
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id: 5e9a093a74c4063ca6f7c150
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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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@ -34,8 +35,3 @@ Raw Cells
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1
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# --hints--
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# --solutions--
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id: 5e9a093a74c4063ca6f7c151
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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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@ -42,8 +43,3 @@ All of the above.
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5
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# --hints--
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# --solutions--
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id: 5e9a093a74c4063ca6f7c157
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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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@ -36,8 +37,3 @@ Standard Python objects take up more memory than NumPy objects; operations on Nu
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4
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# --hints--
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# --solutions--
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id: 5e9a093a74c4063ca6f7c154
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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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@ -52,8 +53,3 @@ print(A[:, :2])
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3
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# --hints--
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# --solutions--
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id: 5e9a093a74c4063ca6f7c156
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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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@ -50,8 +51,3 @@ print(a <= 3)
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# --hints--
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# --solutions--
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id: 5e9a093a74c4063ca6f7c152
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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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1
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# --hints--
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# --solutions--
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id: 5e9a093a74c4063ca6f7c153
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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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# --hints--
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# --solutions--
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id: 5e9a093a74c4063ca6f7c155
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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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# --hints--
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# --solutions--
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id: 5e9a093a74c4063ca6f7c15b
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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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2
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# --hints--
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# --solutions--
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id: 5e9a093a74c4063ca6f7c15c
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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
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# --hints--
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# --solutions--
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id: 5e9a093a74c4063ca6f7c15a
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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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# --hints--
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# --solutions--
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id: 5e9a093a74c4063ca6f7c159
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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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# --hints--
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# --solutions--
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id: 5e9a093a74c4063ca6f7c158
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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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# --solutions--
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id: 5e9a093a74c4063ca6f7c164
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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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# --solutions--
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id: 5e9a093a74c4063ca6f7c166
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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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# --solutions--
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id: 5e9a093a74c4063ca6f7c165
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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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# --solutions--
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id: 5e9a093a74c4063ca6f7c167
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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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# --solutions--
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id: 5e9a093a74c4063ca6f7c162
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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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id: 5e9a093a74c4063ca6f7c163
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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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# --solutions--
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id: 5e9a093a74c4063ca6f7c161
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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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---
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id: 5e46f7e5ac417301a38fb929
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challengeType: 10
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dashedName: demographic-data-analyzer
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---
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# --description--
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# --solutions--
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```py
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# Python challenges don't need solutions,
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# because they would need to be tested against a full working project.
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# Please check our contributing guidelines to learn more.
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```
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---
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id: 5e46f7e5ac417301a38fb928
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challengeType: 10
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dashedName: mean-variance-standard-deviation-calculator
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---
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# --description--
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# --solutions--
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```py
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# Python challenges don't need solutions,
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# because they would need to be tested against a full working project.
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# Please check our contributing guidelines to learn more.
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```
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---
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id: 5e46f7f8ac417301a38fb92a
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challengeType: 10
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dashedName: medical-data-visualizer
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---
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# --description--
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# --solutions--
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```py
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# Python challenges don't need solutions,
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# because they would need to be tested against a full working project.
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# Please check our contributing guidelines to learn more.
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```
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---
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id: 5e46f802ac417301a38fb92b
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challengeType: 10
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dashedName: page-view-time-series-visualizer
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---
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# --description--
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# --solutions--
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```py
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# Python challenges don't need solutions,
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# because they would need to be tested against a full working project.
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# Please check our contributing guidelines to learn more.
|
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```
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---
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id: 5e4f5c4b570f7e3a4949899f
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challengeType: 10
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dashedName: sea-level-predictor
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---
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# --description--
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# --solutions--
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```py
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# Python challenges don't need solutions,
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||||
# because they would need to be tested against a full working project.
|
||||
# Please check our contributing guidelines to learn more.
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```
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|
||||
id: 5e9a0a8e09c5df3cc3600ed4
|
||||
challengeType: 11
|
||||
videoId: v-7Y7koJ_N0
|
||||
dashedName: accessing-and-changing-elements-rows-columns
|
||||
---
|
||||
|
||||
# --question--
|
||||
@ -46,8 +47,3 @@ a[1, 2] = 20
|
||||
|
||||
3
|
||||
|
||||
# --hints--
|
||||
|
||||
|
||||
# --solutions--
|
||||
|
||||
|
||||
@ -2,6 +2,7 @@
|
||||
id: 5e9a0a8e09c5df3cc3600ed3
|
||||
challengeType: 11
|
||||
videoId: f9QrZrKQMLI
|
||||
dashedName: basics-of-numpy
|
||||
---
|
||||
|
||||
# --question--
|
||||
@ -41,8 +42,3 @@ print(b)
|
||||
|
||||
2
|
||||
|
||||
# --hints--
|
||||
|
||||
|
||||
# --solutions--
|
||||
|
||||
|
||||
@ -2,6 +2,7 @@
|
||||
id: 5e9a0a8e09c5df3cc3600ed7
|
||||
challengeType: 11
|
||||
videoId: iIoQ0_L0GvA
|
||||
dashedName: copying-arrays-warning
|
||||
---
|
||||
|
||||
# --question--
|
||||
@ -40,8 +41,3 @@ b[2] = 20
|
||||
|
||||
2
|
||||
|
||||
# --hints--
|
||||
|
||||
|
||||
# --solutions--
|
||||
|
||||
|
||||
@ -2,6 +2,7 @@
|
||||
id: 5e9a0a8e09c5df3cc3600ed6
|
||||
challengeType: 11
|
||||
videoId: 0jGfH8BPfOk
|
||||
dashedName: initialize-array-problem
|
||||
---
|
||||
|
||||
# --question--
|
||||
@ -55,8 +56,3 @@ output[4:1, 4:1] = z
|
||||
|
||||
1
|
||||
|
||||
# --hints--
|
||||
|
||||
|
||||
# --solutions--
|
||||
|
||||
|
||||
@ -2,6 +2,7 @@
|
||||
id: 5e9a0a8e09c5df3cc3600ed5
|
||||
challengeType: 11
|
||||
videoId: CEykdsKT4U4
|
||||
dashedName: initializing-different-arrays
|
||||
---
|
||||
|
||||
# --question--
|
||||
@ -40,8 +41,3 @@ print(np.full_like(a, 100))
|
||||
|
||||
2
|
||||
|
||||
# --hints--
|
||||
|
||||
|
||||
# --solutions--
|
||||
|
||||
|
||||
@ -2,6 +2,7 @@
|
||||
id: 5e9a0a8e09c5df3cc3600eda
|
||||
challengeType: 11
|
||||
videoId: tUdBZ7pF8Jg
|
||||
dashedName: loading-data-and-advanced-indexing
|
||||
---
|
||||
|
||||
# --question--
|
||||
@ -52,8 +53,3 @@ print(output)
|
||||
|
||||
3
|
||||
|
||||
# --hints--
|
||||
|
||||
|
||||
# --solutions--
|
||||
|
||||
|
||||
@ -2,6 +2,7 @@
|
||||
id: 5e9a0a8e09c5df3cc3600ed8
|
||||
challengeType: 11
|
||||
videoId: 7txegvyhtVk
|
||||
dashedName: mathematics
|
||||
---
|
||||
|
||||
# --question--
|
||||
@ -45,8 +46,3 @@ b = np.max(a, axis=1).sum()
|
||||
|
||||
4
|
||||
|
||||
# --hints--
|
||||
|
||||
|
||||
# --solutions--
|
||||
|
||||
|
||||
@ -2,6 +2,7 @@
|
||||
id: 5e9a0a8e09c5df3cc3600ed9
|
||||
challengeType: 11
|
||||
videoId: VNWAQbEM-C8
|
||||
dashedName: reorganizing-arrays
|
||||
---
|
||||
|
||||
# --question--
|
||||
@ -45,8 +46,3 @@ print(b)
|
||||
|
||||
1
|
||||
|
||||
# --hints--
|
||||
|
||||
|
||||
# --solutions--
|
||||
|
||||
|
||||
@ -2,6 +2,7 @@
|
||||
id: 5e9a0a8e09c5df3cc3600ed2
|
||||
challengeType: 11
|
||||
videoId: 5Nwfs5Ej85Q
|
||||
dashedName: what-is-numpy
|
||||
---
|
||||
|
||||
# --question--
|
||||
@ -30,8 +31,3 @@ All of the above.
|
||||
|
||||
4
|
||||
|
||||
# --hints--
|
||||
|
||||
|
||||
# --solutions--
|
||||
|
||||
|
||||
Reference in New Issue
Block a user