77 lines
1.3 KiB
Markdown
77 lines
1.3 KiB
Markdown
---
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id: 5e9a093a74c4063ca6f7c161
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title: Introducción a Lectura de datos
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challengeType: 11
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videoId: cDnt02BcHng
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bilibiliIds:
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aid: 548023524
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bvid: BV1Nq4y1K7iV
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cid: 409020187
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dashedName: reading-data-introduction
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---
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# --description--
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*En vez de usar notebooks.ai como aparece en el video, puedes usar Google Colab.*
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Más recursos:
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- [Notas en GitHub](https://github.com/krishnatray/RDP-Reading-Data-with-Python-and-Pandas)
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- [Cómo abrir Notebooks desde GitHub utilizando Google Colab.](https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb)
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# --question--
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## --text--
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Dado un archivo llamado `certificates.csv` con estos contenidos:
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<pre>
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Nombre$Certificates$Tiempo (en meses)
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Tom$8$16
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Kris$2$5
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Ahmad$5$9
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Beau$6$12
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</pre>
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Rellena los espacios en blanco de los argumentos que faltan a continuación:
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```py
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import csv
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with open(__A__, 'r') as fp:
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reader = csv.reader(fp, delimiter=__B__)
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next(reader)
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for index, values in enumerate(reader):
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name, certs_num, months_num = values
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print(f"{name} earned {__C__} certificates in {months_num} months")
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```
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## --answers--
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A: `'certificates.csv'`
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B: `'-'`
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C: `values`
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---
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A: `'certificates.csv'`
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B: `'$'`
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C: `certs_num`
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---
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A: `'certificates'`
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B: `'$'`
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C: `certs_num`
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## --video-solution--
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2
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