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chore(i18n,learn): processed translations (#50240)

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2023-05-01 22:39:25 +05:30
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10
curriculum/challenges/german/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-and-visualizations.md
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@@ -1,6 +1,6 @@
---
id: 5e9a093a74c4063ca6f7c160
title: Data Cleaning and Visualizations
title: Datenbereinigung und Visualisierungen
challengeType: 11
videoId: mHjxzFS5_Z0
bilibiliIds:
@@ -12,18 +12,18 @@ dashedName: data-cleaning-and-visualizations
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Anstatt notebooks.ai zu verwenden, wie es im Video gezeigt wird, kannst du stattdessen Google Colab verwenden.*
More resources:
Weitere Quellen:
- <a href="https://github.com/ine-rmotr-curriculum/data-cleaning-rmotr-freecodecamp" target="_blank" rel="noopener noreferrer nofollow">Notebooks on GitHub</a>
- <a href="https://github.com/ine-rmotr-curriculum/data-cleaning-rmotr-freecodecamp" target="_blank" rel="noopener noreferrer nofollow">Notebooks auf GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer nofollow">Wie man Notebooks über Github mit Google Colab öffnet.</a>
# --question--
## --text--
When using Matplotlib's global API, what does the order of numbers mean here?
Was bedeutet hier die Reihenfolge der Zahlen, wenn man die globale API von Matplotlib verwendet?
```py
plt.subplot(1, 2, 1)

18
curriculum/challenges/german/08-data-analysis-with-python/data-analysis-with-python-course/data-cleaning-duplicates.md
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@@ -1,6 +1,6 @@
---
id: 5e9a093a74c4063ca6f7c15f
title: Data Cleaning Duplicates
title: Datenbereinigung der Duplikate
challengeType: 11
videoId: kj7QqjXhH6A
bilibiliIds:
@@ -12,30 +12,30 @@ dashedName: data-cleaning-duplicates
# --description--
*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
*Anstatt, wie in dem Video gezeigt, notebooks.ai zu verwenden, kannst du auch Google Colab verwenden.*
More resources:
Weitere Ressourcen:
- <a href="https://github.com/ine-rmotr-curriculum/data-cleaning-rmotr-freecodecamp" target="_blank" rel="noopener noreferrer nofollow">Notebooks on GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer nofollow">How to open Notebooks from GitHub using Google Colab.</a>
- <a href="https://github.com/ine-rmotr-curriculum/data-cleaning-rmotr-freecodecamp" target="_blank" rel="noopener noreferrer nofollow">Notebooks auf GitHub</a>
- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer nofollow">Wie man Notebooks von GitHub unter Verwendung von Google Colab öffnet.</a>
# --question--
## --text--
The Python method `.duplicated()` returns a boolean Series for your DataFrame. `True` is the return value for rows that:
Die Python Methode `.duplicated()` gibt eine boolesche Serie für einen DataFrame zurück. `True` ist der Rückgabewert für Zeilen, die:
## --answers--
contain a duplicate, where the value for the row contains the first occurrence of that value.
ein Duplikat beinhalten, wobei der Wert für die Zeile zum ersten Mal vorkommt.
---
contain a duplicate, where the value for the row is at least the second occurrence of that value.
ein Duplikat beinhalten, wobei der Wert für die Zeile zumindest zum zweiten Mal vorkommt.
---
contain a duplicate, where the value for the row contains either the first or second occurrence.
ein Duplikat beinhalten, wobei der Wert für die Zeile entweder zum ersten oder zweiten Mal vorkommt.
## --video-solution--

2
curriculum/challenges/german/08-data-analysis-with-python/data-analysis-with-python-course/numpy-introduction-b.md
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@@ -23,7 +23,7 @@ Weitere Ressourcen:
## --text--
About how much memory does the integer `5` consume in plain Python?
Wieviel Speicherplatz benötigt der Integer `5` in Python?
## --answers--