Python Programming & Data Visualization

📌 Overview

This repository contains my learning journey in Python programming along with hands-on practice in popular data visualization libraries such as Matplotlib and Seaborn.

The goal of this learning was to build a strong foundation in Python basics and understand how to analyze and visualize data effectively.

🧠 Topics Covered

🔹 Python Basics

Variables and Data Types

Conditional Statements

Loops

Functions

Lists, Tuples, Dictionaries

File Handling

Basic OOP Concepts

🔹 Data Analysis & Visualization

Introduction to NumPy

Introduction to Pandas

Data Cleaning

Exploratory Data Analysis (EDA)

Plotting and Visualization

📊 Libraries Used

Python

NumPy

Pandas

Matplotlib

Seaborn

📈 Visualization Techniques Practiced

Line Plots

Bar Charts

Scatter Plots

Count Plots

Heatmaps

Distribution Plots

Pair Plots

🛠 Tools Used

Jupyter Notebook / VS Code

Anaconda / Python Environment

📚 Learning Outcomes

Strong understanding of Python fundamentals

Ability to clean and analyze datasets

Experience in creating meaningful visualizations

Improved debugging and logical thinking skills

🚀 Future Plans

Work on real-world datasets

Implement Machine Learning models

Build end-to-end data projects