Python for Data Science - Module 00: Starting

This project is the first module of the Python for Data Science Piscine at 42.
It covers the fundamental basics of the Python programming language, including:

• Data structures
• Script arguments
• Error handling
• Basic packaging

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Technical Requirements

Python Version

• Python 3.10.x (strictly enforced)

Linter

• flake8 (aliased as norminette)

Rules

• No global variables.
• Explicit library imports only.

import numpy as np

❌ The following is strictly forbidden and results in a score of 0:

from <library> import <function>

Additional requirements:

• Starting from Exercise 05, all functions must include docstrings (__doc__).
• Programs must include:
  • a main() function
  • the guard:

if __name__ == "__main__":
    main()

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Project Structure

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Exercise Directory File(s) Description

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ex00 ex00/ Hello.py Modify strings in List, Tuple, Set, and Dict objects

ex01 ex01/ format_ft_time.py Format dates and display seconds since epoch

ex02 ex02/ find_ft_type.py Create a function to identify and print object types

ex03 ex03/ NULL_not_found.py Function to identify all types of "Null" objects

ex04 ex04/ whatis.py Script to check if a number is Odd or Even via arguments

ex05 ex05/ building.py Character counter for upper, lower, punctuation, and digits

ex06 ex06/ ft_filter.py, Recode the filterstring.py filter function using list comprehensions

ex07 ex07/ sos.py Encode a string into Morse Code using a dictionary

ex08 ex08/ Loading.py Implement a progress bar using the yield operator

ex09 ex09/ *.py, README.md, Create and install LICENSE, etc. a custom Python package via pip

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Setup & Usage

1. Virtual Environment

It is recommended to use a virtual environment to manage dependencies:

python3.10 -m venv venv
source venv/bin/activate
pip install flake8

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2. Running the Linter (Norminette)

To check for code compliance as required by the subject:

# Alias flake8 to norminette for a familiar 42 workflow
alias norminette='flake8'

norminette path/to/file.py

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3. Execution Example

Example for Exercise 04:

python ex04/whatis.py 14

Output:

I'm Even.

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Evaluation Note

• Any uncaught exception will invalidate the exercises.
• Functions must not terminate unexpectedly (e.g., segmentation faults) or they will receive a score of 0.
• Use language features appropriately and avoid reinventing the wheel.