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---
id: 5e9a093a74c4063ca6f7c161
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title: Introduzir a leitura de dados
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challengeType: 11
videoId: cDnt02BcHng
dashedName: reading-data-introduction
---
# --description--
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*Ao invés de usar notebooks.ai como foi mostrado no vídeo, você pode usar o Google Colab como substituto.*
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Mais recursos:
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- [Notebooks no GitHub ](https://github.com/ine-rmotr-curriculum/RDP-Reading-Data-with-Python-and-Pandas/tree/master/unit-1-reading-data-with-python-and-pandas/lesson-1-reading-csv-and-txt-files/files )
- [Como abrir notebooks do GitHub usando o Google Colab. ](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb )
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# --question--
## --text--
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Dado um arquivo chamado `certificates.csv` com este conteúdo:
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< pre >
Name$Certificates$Time (in months)
Tom$8$16
Kris$2$5
Ahmad$5$9
Beau$6$12
< / pre >
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Preencha as lacunas para os argumentos que faltam abaixo:
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```py
import csv
with open(__A__, 'r') as fp:
reader = csv.reader(fp, delimiter=__B__)
next(reader)
for index, values in enumerate(reader):
name, certs_num, months_num = values
print(f"{name} earned {__C__} certificates in {months_num} months")
```
## --answers--
A: `'certificates.csv'`
B: `'-'`
C: `values`
---
A: `'certificates.csv'`
B: `'$'`
C: `certs_num`
---
A: `'certificates'`
B: `'$'`
C: `certs_num`
## --video-solution--
2