🐍 Python Basics – Learning Journey

This repository contains my doundation for ML in python, it contains notes, practice labs, and mini projects as I learn Python through a beginner-friendly, hands-on course.

✅ What I’ve Learned So Far

Throughout this course, I’ve gained a solid foundation in Python programming, including:

• Python Basics
  Variables, data types, operators, expressions, and string manipulations.

• Data Structures
  How to create and work with:

  • Lists
  • Tuples
  • Dictionaries
  • Sets

• Control Flow & Logic
  Writing clean logic using if-else statements, loops, and conditional expressions.

• Functions & Error Handling
  Defining and using functions effectively, plus handling exceptions using try/except blocks.

• Object-Oriented Programming (OOP)
  Basics of classes, objects, attributes, and methods.

• File I/O
  Reading from and writing to files in various formats (text, CSV, etc.).

• Python Libraries

  • NumPy: For numerical operations and array handling
  • Pandas: For data manipulation and analysis

• Working with APIs & Web Scraping

  • Using requests to interact with REST APIs
  • Scraping website data using BeautifulSoup

💡 What I Can Do Now

With the skills I’ve built, I’m able to:

• Build basic to intermediate Python programs
• Automate repetitive or data-based tasks
• Read, process, and analyze data using Pandas and NumPy
• Interact with APIs and extract data from web pages
• Write reusable code using functions and object-oriented practices
• Handle real-world errors and exceptions with confidence
• Work comfortably with files and data formats

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📌 Note: This repo is a work in progress as I continue to expand my Python knowledge and explore advanced topics. Stay tuned for updates!