A collection of beginner-to-intermediate Jupyter notebook tutorials covering Python basics.
This repository contains a collection of beginner-to-intermediate Jupyter notebook tutorials designed to introduce Python programming for scientific and general-purpose use.
The notebooks are structured to help learners build a strong foundation in Python with practical examples and clear explanations.
- Python variables and data types
- Input and output
- Conditional statements (
if,elif,else) - Loops (
for,while) - Functions
- Basic introduction to NumPy, Pandas
- Introductory data handling concepts
- Visualization - Matplotlib, Seaborn
- Object Oriented Programing (OOP)
- Beginners learning Python
- Science and engineering students
- Anyone starting scientific or technical programming
Clone the repository and open the notebooks using Jupyter:
git clone https://github.com/Jibinvsunny/Python_Basics.git cd Python_Basics jupyter notebook You can also open the notebooks using JupyterLab or any compatible notebook environment.
The tutorials require Python 3 and the following packages:
numpy pandas matplotlib Install them using:
pip install numpy pandas matplotlib
Jibin V Sunny
This tutorial was prepared by the author with the assistance of AI tools
for educational purposes.
This project is licensed under the MIT License.
You are free to use, modify, and distribute this material with attribution.