Welcome to the Python for Data Science — Library Playground! This repository is a collection of notebooks and code snippets showcasing the power of Python’s most popular data science libraries. From data wrangling to beautiful visualizations, everything starts here.
📐 NumPy — Numerical operations on multi-dimensional arrays
📊 Pandas — Powerful tools for data analysis and manipulation
🎨 Matplotlib — Flexible plotting library for static visualizations
🌈 Seaborn — Statistical data visualization built on Matplotlib
⚡ Plotly — Interactive, web-based visualizations
🔗 Cufflinks — Pandas + Plotly integration made easy
Each folder focuses on a specific topic or library:
| Folder | Description |
|---|---|
Python ML DS/Python Fundamentals |
Basic Python syntax, control flow, functions, and intro to data science |
Numpy |
Numerical operations, arrays, broadcasting, random number generation |
Pandas |
DataFrames, series, I/O operations (CSV, Excel, SQL, HTML), groupby |
Matplotlib |
Plotting with pyplot, figure settings, subplots, object-oriented plots |
Seaborn |
Statistical visualizations: distplots, heatmaps, facet grids, pair plots |
✅ Numerical Computing with NumPy
Fast, efficient array operations
Linear algebra, random number generation, and more
✅ Data Manipulation with Pandas
DataFrames & Series for structured data
Cleaning, transforming, and analyzing datasets with ease
✅ Visualizations with Matplotlib & Seaborn
Create stunning static visualizations
Customize plots and explore patterns
✅ Interactive Visualizations with Plotly & Cufflinks
Build interactive, dynamic plots
Combine Pandas and Plotly seamlessly using Cufflinks
✅ Beginner-friendly Examples
Each notebook is beginner-friendly and well-commented
Perfect for anyone starting their data science journey
"Data is the new oil, but only if you can refine it!"
This repository is designed to help you build a solid foundation in Python data science libraries, empowering you to:
Explore & analyze data effectively
Build meaningful visualizations
Prepare yourself for machine learning workflows
Have a creative idea? Found a bug? Feel free to open an issue or submit a pull request! Let’s grow and learn together. 🌱
⭐ If you find this repository useful, don’t forget to star it! Happy Coding! 🚀
- Clone this repository:
git clone https://github.com/safikasi/Python-for-DS.git cd Python-for-DS