Skip to content

session-01-homework.md

Latest commit

 

History

History
74 lines (53 loc) · 2.44 KB

session-01-homework.md

File metadata and controls

74 lines (53 loc) · 2.44 KB
Raw

Session 1 | Homework

Use only pure Python and the built-in csv module.

1. Goal

Practice dataset loading, filtering, aggregation, and complexity analysis.

2. File to submit

Write your code in:

session1/solutions/exercise-01-homework.py

Use the same solutions/ folder created in Part 1.

3. Dataset

Use: movies.csv from Birkbeck/movies

4. Tasks

  1. Load the dataset with csv.reader.
  2. Print:
    • the number of data rows (excluding header)
    • the number of columns
  3. Print the first 3 rows (including header).
  4. Find and print the first movie where the genres column contains Action.
  5. Compute and print the average of rating_imdb (ignore missing or invalid values).
  6. Compute and print the average of one more numeric column (for example runtime_min or metascore, ignoring missing values).
  7. Count how many movies have rating_imdb >= 8.0.
  8. Report the time and space complexity for:
    • first-match search task
    • average computation task

Tip

You may find the following tips useful.
  • Skip the header row using next(reader) before processing the data.
  • Convert numeric values using float() or int() before calculations.
  • Use a counter and a running total to compute averages (total / count).
  • Use break to stop the loop once the first matching row is found.

5. Rules

  • Do not use pandas.
  • Handle invalid/missing numeric values safely.
  • Keep your code readable with clear variable names.

6. Suggested README update

## Homework (Session 1)
- File: `solutions/exercise-01-homework.py`
- Status: completed
- Notes:
  - computed averages for rating and one additional numeric column
  - handled missing or invalid values safely during computations

7. Share your work

Create a public GitHub repository for your homework. It is recommended to use one repository for all weekly submissions, for example: bda-homeworks.

Submit your work by sharing your repository link in the MS Teams channel

(Discussion forum for this class): MS Teams discussion forum.

This allows Stelios and the rest of the class to view and discuss your work 𐦂𖨆𐀪𖠋𐀪𐀪.