This repository contains hands-on practice and foundational concepts covering:
- Python programming essentials relevant to Data Science
- Data manipulation and analysis using Pandas
- Data visualization using Matplotlib
The repo is structured to support learning from basics to advanced topics, including:
- Python basics (data structures, loops, functions, etc.)
- Working with Series and DataFrames in Pandas
- Reading/writing CSV and Excel files
- Selecting, filtering, and manipulating real-world data
- Plotting data with Matplotlib (line plots, bar charts, histograms, etc.)
This repository serves as a learning log for core Data Science libraries in Python. Ideal for:
- Students & beginners in Data Science
- Practitioners revising core Python/Pandas/Matplotlib
- Interview prep & hands-on coding
This repo is focused on practice and concept-building, not full projects. Every notebook or script represents step-by-step learning and experimentation.
Stay tuned as more advanced notebooks and visualizations are added!