Contents

Assignment 1: Portfolio Setup, Data Science, and Python

Due: 2020-09-13

Objective & Evaluation

This assignment is an opportunity to earn level 2 achievements for the process and python and confirm that you have all of your tools setup, including your portfolio.

To Do

Note

If you get stuck on any of this after accepting the assignment and creating a repository, you can create an issue on your repository, describing what you’re stuck on and tag us with @rhodyprog4ds/fall20instructors.

To do this click Issues at the top, the green “New Issue” button and then type away.

Your task is to:

  1. Install required software

  2. Setup your portfolio, by accepting the assignment and following the instructions in the README file on your repository.

  3. Add your own definition of data science to the introduction of your portfolio, in about/index.md

  4. Add a Jupyter notebook called grading.ipynb to the about folder and write a function that computes a grade for this course, with the following docstring. Include:

  • a Markdown cell with a heading

  • your function called compute_grade

  • three calls to your function that verify it returns the correct value for different number of badges that produce at three different letter grades.

  1. Uncomment the line #     - file: about/grading in your _toc.yml file.

    '''
    Computes a grade for CSC/DSP310 from numbers of achievements at each level

    Parameters:
    ------------
    num_level1 : int
      number of level 1 achievements earned
    num_level2 : int
      number of level 2 achievements earned
    num_level3 : int
      number of level 3 achievements earned

    Returns:
    --------
    letter_grade : string
      letter grade with possible modifier (+/-)
    '''

Here are some sample tests you could run to confirm that your function works correctly:

Warning

your function can have a different name than compute_grade, but make sure it’s your function name, with those parameter values in your tests.

Note

when the value of the expression after assert is True, it will look like nothing happened. assert is used for testing

assert compute_grade(15,15,15) == 'A'

assert compute_grade(15,15,13) == 'A-'

assert compute_grade(15,14,14) == 'B-'

assert compute_grade(14,14,14) == 'C-'

assert compute_grade(4,3,1) == 'D'

assert compute_grade(15,15,6) =='B+'

Submission Instructions

Create a Jupyter Notebook with your function and Add the notebook to your portfolio by uploading it to your repository, or adding to the folder off line and committing and pushing the changes.

View the gh-pages branch to see your compiled submission, as portfolio.pdf or by viewing your website.

There will be a pull request on your repository that is made by GitHub classroom, request a review from the team rhodyprog4ds/Fall20instructors.

Solutions

One solution is added to the Detailed Mechanics part of the Grading section of the syllabus.

Assignments Assignment 2: Practicing Python and Accessing Data