73 lines
1.5 KiB
Markdown
73 lines
1.5 KiB
Markdown
---
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id: 5e9a093a74c4063ca6f7c161
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title: Reading Data Introduction
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challengeType: 11
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videoId: cDnt02BcHng
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---
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## Description
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<section id='description'>
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<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>
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More resources:
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- <a href="https://github.com/ine-rmotr-curriculum/RDP-Reading-Data-with-Python-and-Pandas" target="_blank" rel="noopener noreferrer">Notebooks on GitHub</a>
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- <a href="https://colab.research.google.com/github/googlecolab/colabtools/blob/master/notebooks/colab-github-demo.ipynb" target="_blank" rel="noopener noreferrer">How to open Notebooks from GitHub using Google Colab.</a>
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</section>
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## Tests
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<section id='tests'>
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````yml
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question:
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text: |
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Given a file named `certificates.csv` with these contents:
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```
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Name$Certificates$Time (in months)
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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$12
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```
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Fill in the blanks for the missing arguments below:
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```py
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import csv
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with open(__A__, 'r') as fp:
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reader = csv.reader(fp, delimiter=__B__)
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next(reader)
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for index, values in enumerate(reader):
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name, certs_num, months_num = values
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print(f"{name} earned {__C__} certificates in {months_num} months")
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```
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answers:
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- |
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A: `'certificates.csv'`
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B: `'-'`
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C: `values`
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- |
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A: `'certificates.csv'`
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B: `'$'`
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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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solution: 2
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````
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</section>
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