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

---
id: 5e9a093a74c4063ca6f7c161
title: Reading Data Introduction
challengeType: 11
videoId: cDnt02BcHng
---

## Description

<section id='description'>
<em>Instead of using notebooks.ai like it shows in the video, you can use Google Colab instead.</em>

More resources:

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

</section>

## Tests

<section id='tests'>

````yml
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
````

</section>