a38922536c
* added languages to prismjs * added language to code fences for python for everybody * multiline pre to python for everybody questions * multiline pre for data analysis with python * multiline pre in numpy questions * single line pre for python for everybody * single line pre for data analysis with python * single line pre for numpy * Revert "multiline pre in numpy questions" This reverts commitaf1a02cdd3. * fix unneded escaping commit suggestions from code review Co-authored-by: Shaun Hamilton <51722130+ShaunSHamilton@users.noreply.github.com> * Revert "single line pre for numpy" This reverts commit5f90981108. * revert changes to snippet that have a language * one last code fence to pre * Revert "fix unneded escaping " This reverts commit64c84a9213. * Revert "single line pre for data analysis with python" This reverts commit3bccaff753. * Revert "single line pre for python for everybody" This reverts commit03a5379062. * remove unnecessary escape Co-authored-by: Shaun Hamilton <51722130+ShaunSHamilton@users.noreply.github.com>
73 lines
1.2 KiB
Markdown
73 lines
1.2 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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dashedName: reading-data-introduction
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---
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# --description--
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*Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.*
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More resources:
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- [Notebooks on GitHub](https://github.com/ine-rmotr-curriculum/RDP-Reading-Data-with-Python-and-Pandas)
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- [How to open Notebooks from GitHub using 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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Given a file named `certificates.csv` with these contents:
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<pre>
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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$12
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</pre>
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Fill in the blanks for the missing arguments below:
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```py
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import csv
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with open(__A__, 'r') as fp:
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reader = csv.reader(fp, delimiter=__B__)
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next(reader)
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for index, values in enumerate(reader):
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name, certs_num, months_num = values
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print(f"{name} earned {__C__} certificates in {months_num} months")
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```
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## --answers--
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A: `'certificates.csv'`
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B: `'-'`
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C: `values`
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---
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A: `'certificates.csv'`
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B: `'$'`
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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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