Add comprehensive Python course materials for data science students

[Copilot]

This PR addresses the request to create comprehensive Python course materials specifically designed for statistics students transitioning to data science. The implementation includes 5 detailed Markdown files covering all fundamental aspects of Python programming.

Overview

Created a complete Python curriculum with ~138KB of educational content structured as progressive learning modules:

Course Structure

Base_Python.md - Python Fundamentals

• Variables, data types (int, float, str, bool)
• Operators and basic data structures (lists, tuples, dicts, sets)
• Python syntax rules, indentation, I/O operations
• Naming conventions and practical exercises

Loop.md - Loops from Beginner to Expert

• Basic for/while loops with practical examples
• Control flow (break, continue, else with loops)
• Advanced techniques: list comprehensions, generators
• Performance optimization and itertools usage

Fonction.md - Complete Function Guide

• Function basics: parameters, arguments, return values
• Variable scope (LEGB rule), lambda functions
• Advanced concepts: decorators, generators with yield, recursion
• Higher-order functions and best practices

Module.md - Modules and Package Management

• Module imports and creating custom modules
• Package organization with init.py files
• Standard library overview and external packages
• Data science specific modules (numpy, pandas, matplotlib)

Try_Except.md - Error Handling Mastery

• Exception handling from basics to production-level
• All exception types and multiple exception handling
• Custom exceptions and context managers
• Logging, debugging, and robust error management

Key Features

• Progressive Learning: Each file builds from basic concepts to expert-level techniques
• Data Science Focus: Examples and modules specifically chosen for statistics/data science applications
• Practical Examples: Real code snippets with detailed explanations
• French Content: All materials in French as requested for the target audience
• Complete Coverage: Each topic thoroughly covered with exercises and best practices

This curriculum provides a solid foundation for statistics students to master Python programming skills essential for data science work.

Original prompt

Tu vas faire , créer plusieurs fichier MD qui vont traiter du fond en comble Python. Un fichier va s'appeler Syntaxe ou Base python dans lequel tu vas faire un cours complet sur les types, les sytaxes, ... . Un autre fichiers loop dans lequel tu fais un bon cours qui quitte niveau débutant pour expert. Un troisième fichier qui traité fonction, un autre qui parle de module. Je veux aussi un fichier MD qui +explique du début à la fin try / except

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[manfoya]

C'est un cours pour Cafui