$ show csfive/CS50P
This repository contains solutions to Harvard's CS50P (Introduction to Programming with Python) course problem sets, organized by week from Week0 to Week9. Each week features multiple standalone Python scripts that solve specific programming exercises, such as calculating tips, validating license plates, converting time formats, processing CSV files, and generating images or PDFs. The scripts are designed to be run from the command line, typically taking user input via `input()` and producing output via `print()`, with some utilizing external libraries for specialized tasks like emoji conversion, figure generation, or image manipulation. While many scripts are simple and focused on teaching basic programming concepts, several components demonstrate reusable, well-crafted patterns worthy of highlighting. Notable examples include the time-parsing function in Week1/meal.py (converting strings like '7:30 AM' to float hours), the license plate validation logic in Week2/plates.py (enforcing rules on length, character types, and number placement), the CSV transformation script in Week6/scourgify/scourgify.py (splitting 'Last, First' names into separate columns), the Jar class in Week8/jar/jar.py (modeling a container with deposit/withdraw operations), and the time-range conversion function in Week7/working/working.py (converting '9:00 AM to 5:00 PM' to 24-hour format). These components are isolated, self-contained, and could be extracted for reuse in other projects with minimal modification. The repository is actively maintained, with the most recent commit dated 2026-06-04. It relies on a few external libraries (such as `inflect`, `emoji`, `pyfiglet`, `tabulate`, `Pillow`, `validators`, and `fpdf`) for specific functionalities, but the core logic of the highlighted components uses only the standard library. There is no evidence of significant technical debt or outdated dependencies, indicating a low level of technical drift. The codebase serves as an excellent educational resource for beginner to intermediate Python programmers, showcasing practical problem-solving techniques.
The LLM identified 5 files worth highlighting for reuse:
The `convert` function parses a time string in 12-hour format (with optional minutes and AM/PM) and converts it to a float representing hours. It handles edge cases like 12:00 AM and 12:00 PM. This function is isolated, pure, and reusable in any application that needs to parse such time strings.
The `is_valid` function validates vanity license plates according to specific rules: length between 2 and 6, first two characters must be letters, only alphanumeric characters, numbers must be at the end, and the first number cannot be zero. It is a self-contained validation function that returns a boolean and can be reused in any system requiring plate validation.
This script reads a CSV file containing a 'name' field in the format 'Last, First', splits it into separate 'first' and 'last' columns, and writes a new CSV with columns 'first', 'last', and 'house'. It demonstrates a clean, self-contained ETL transformation using Python's csv module and is reusable for similar CSV processing tasks.
The `Jar` class models a container with a fixed capacity, supporting deposit and withdraw operations. It validates inputs and maintains internal state (number of cookies). This class is a good example of encapsulation and can be reused in any application needing a simple container with capacity constraints.
The `convert` function parses a time range string (e.g., '9:00 AM to 5:00 PM') and converts it to 24-hour format (e.g., '09:00 to 17:00'). It uses regex to extract components, handles AM/PM conversion, and validates the time values. This function is reusable for converting user-friendly time ranges to a standardized format.