📚 DataDrift with Us - Python Learning Journey

Welcome to DataDrift with Us! This repository documents our journey through learning Python from the basics. Below is a summary of what we’ve covered so far.

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📘 Day 1 - Python Basics Introduction

• Introduction to Python
• Using Google Colab
• GitHub Basics
• Python Syntax
• Comments (Single-line and Multi-line)
• Variables
• Data Types
• F-Strings

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📗 Day 2 - User Input, Operators & Conditionals

• Taking Input using input()
• Display Output with print()
• Checking Data Types using type()
• Typecasting: Converting between str, int, and float
• Operators: +, -, *, /, %, //
• Conditional Statements: if, else, elif
• Logical Operators: and, or, not

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📙 Day 3 - String Slicing & Loops

• String Indexing and Slicing
• Slice Syntax: [start:end:step]
• for Loops
• while Loops
• Loop Control Statements:
  • break – exit the loop
  • continue – skip to the next iteration
  • pass – do nothing (placeholder)

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📕 Day 4 - Functions

• Definition of a Function
• Function Syntax
• Calling a Function
• Function Parameters / Arguments
• Return Statement
• Scope and Lifetime of Variables
• Local and Global Variables
• User-defined Functions
• Default Arguments
• Keyword Arguments
• Variable-length Arguments: *args and **kwargs

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📙 Day 5 - Intermediate Project: Student Management System

• Creating and using multiple functions
• Lists and dictionaries to manage data
• Building a simple console-based menu
• User interaction through loops and input
• Practicing modular and reusable code

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📘 Day 6 - Lists and Tuples

• Introduction to Lists and Tuples
• List Syntax and Examples
• Accessing, Modifying, and Deleting Elements
• Common List Methods: append(), insert(), extend(), remove(), pop(), sort(), reverse(), copy()
• Looping through Lists
• List Comprehensions
• Tuple Syntax and Examples
• Tuple Immutability
• Tuple Methods: count(), index()
• List ↔ Tuple Conversion
• List vs Tuple Comparison
• Intermediate Techniques: Slicing, Unpacking, Nested Lists
• Practice Exercises

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📗 Day 7 - Sets in Python

• Introduction to Sets
• Set Syntax: Creating sets with {} or set()
• Properties of Sets:
  • Unordered
  • No duplicate elements
  • Mutable
• Adding Elements: add() and update()
• Removing Elements: remove(), discard(), and pop()
• Set Operations:
  • Union (| or .union())
  • Intersection (& or .intersection())
  • Difference (- or .difference())
  • Symmetric Difference (^ or .symmetric_difference())
• Membership Testing: in, not in
• Iterating through Sets using for loop
• Set Comprehensions
• Frozen Sets and their immutability
• Real-world Examples and Exercises

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📘 Day 8 - Dictionaries in Python

• Introduction to Dictionaries
• Key-Value Pair Structure
• Dictionary Syntax:
  • Using {}
  • Using dict() constructor
• Properties of Dictionaries:
  • Ordered (as of Python 3.7+)
  • Mutable (changeable after creation)
  • Keys must be unique
• Accessing Values using [] and get()
• Modifying Values and Adding New Pairs
• Removing Elements: pop(), popitem(), clear()
• Dictionary Methods:
  • get(), keys(), values(), items()
  • setdefault(), update(), copy()
  • fromkeys()
• Iterating through Dictionaries using for loops
• Real-life Examples and Exercises

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📗 Day 9 - Decorators & Object-Oriented Programming (OOP)

✨ Decorators:

• Functions as first-class citizens
• Passing functions as arguments
• Creating and applying custom decorators
• Logging function calls using @decorator syntax

🔧 Object-Oriented Programming:

• Introduction to Classes and Objects
• Attributes and Methods
• Creating and instantiating classes
• Constructors using __init__()
• Simple examples like House, Car, Dog classes
• Modeling real-world entities with OOP principles

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