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Reading Data Introduction

curriculum/challenges/english/blocks/data-analysis-with-python-course/5e9a093a74c4063ca6f7c161.md

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--description--

Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.

More resources:

  • <a href="https://github.com/krishnatray/RDP-Reading-Data-with-Python-and-Pandas" target="_blank" rel="noopener noreferrer nofollow">Notebooks on 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">How to open Notebooks from GitHub using Google Colab.</a>

--questions--

--text--

Given a file named certificates.csv with these contents:

<pre> Name$Certificates$Time (in months) Tom$8$16 Kris$2$5 Ahmad$5$9 Beau$6$12 </pre>

Fill in the blanks for the missing arguments below:

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--

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