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

id, title, challengeType, isHidden, videoId

id	title	challengeType	isHidden	videoId
5e9a093a74c4063ca6f7c161	Reading Data Introduction	11	false	cDnt02BcHng

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.

Tests

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:

    ```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`
  solution: 2