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A practical and beginner-friendly repository for learning Python for Data Science. This collection includes hands-on Jupyter Notebooks covering essential Python concepts used in data analysis, machine learning, and real-world data workflows. Perfect for students, aspiring data scientists, and professionals starting their Python journey.

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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.


πŸ“˜ 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

πŸ“— 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

πŸ“™ 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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A practical and beginner-friendly repository for learning Python for Data Science. This collection includes hands-on Jupyter Notebooks covering essential Python concepts used in data analysis, machine learning, and real-world data workflows. Perfect for students, aspiring data scientists, and professionals starting their Python journey.

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