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freeCodeCamp/curriculum/challenges/german/08-data-analysis-with-python/data-analysis-with-python-course/pandas-introduction.md
2023-01-02 08:34:21 -08:00

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---
id: 5e9a093a74c4063ca6f7c158
title: Pandas Einführung
challengeType: 11
videoId: 0xACW-8cZU0
bilibiliIds:
aid: 975510116
bvid: BV1u44y1b7fD
cid: 409013433
dashedName: pandas-introduction
---
# --description--
*Anstatt, wie in dem Video gezeigt, notebooks.ai zu verwenden, kannst du auch Google Colab verwenden.*
Weitere Ressourcen:
- <a href="https://github.com/ine-rmotr-curriculum/freecodecamp-intro-to-pandas" 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--
Was gibt der folgende Code aus?
```py
import pandas as pd
certificates_earned = pd.Series(
[8, 2, 5, 6],
index=['Tom', 'Kris', 'Ahmad', 'Beau']
)
print(certificates_earned)
```
## --answers--
```markup
Tom 8
Kris 2
Ahmad 5
Beau 6
dtype: int64
```
---
```markup
Kris 2
Ahmad 5
Beau 6
Tom 8
dtype: int64
```
---
```markup
Tom 8
Kris 2
Ahmad 5
Beau 6
Name: certificates_earned dtype: int64
```
## --video-solution--
1