freeCodeCamp/curriculum/challenges/chinese/08-data-analysis-with-python/data-analysis-with-python-course/reading-data-introduction.md

id	title	challengeType	videoId	dashedName
5e9a093a74c4063ca6f7c161	Reading Data Introduction	11	cDnt02BcHng	reading-data-introduction

--description--

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

More resources:

• Notebooks on GitHub
• How to open Notebooks from GitHub using Google Colab.

--question--

--text--

Given a file named certificates.csv with these contents:

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

Fill in the blanks for the missing arguments below:

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