Python InternshipInABook™

Learn. Practice. Launch.

The Python Book 0 of 9 in the InternshipInABook™ Series

This repository contains the practical exercises from the book.

📖 Complete internship experience:

Workplace scenarios Mentor guidance Reflection exercises Portfolio checkpoints Capstone projects 👉 Get the complete book: https://selar.com/al990ay7ux

🚀 Start Here Welcome to The Python Internship.

If you are new to the InternshipInABook™ Series:

Run this setup notebook. Complete Week 1. Follow the weekly internship schedule. Build your portfolio. Complete the capstone project. 🔗 Repository: https://github.com/internshipinabook/python-internship-in-a-book

Run every cell top to bottom. Each cell prints ✅ if everything is working or ❌ with a fix instruction. Complete every fix before moving to Week 1.

An 8-week hands-on internship simulation designed to help learners build practical Python programming skills through guided notebooks, datasets, and real-world exercises.

What You Will Learn

This internship-style experience covers:

• Python fundamentals
• Lists and loops
• Functions and file handling
• Error handling and modules
• NumPy
• Pandas for data analysis
• Data visualization
• Practical debugging and coding workflows

Repository Structure

datasets/
notebooks/
README.md


## Starter Notebooks

| Week | Topic |
|---|---|
| 01 | Python Basics |
| 02 | Lists and Loops |
| 03 | Functions and Files |
| 04 | Errors and Modules |
| 05 | NumPy |
| 06 | Pandas Introduction |
| 07 | Pandas Analysis |
| 08 | Visualization |


## Datasets Included

This repository includes beginner-friendly datasets for:

- restaurant analytics,
- order analysis,
- menu exploration,
- and data cleaning exercises.


## Recommended Tools

Learners can use:

- Jupyter Notebook
- Google Colab
- VS Code
- Anaconda


## Who This Is For

- beginners in Python,
- university students,
- aspiring data analysts,
- AI/ML newcomers,
- internship preparation learners,
- and self-paced tech learners.


## Getting Started

1. Clone or download this repository.
2. Open the notebooks folder.
3. Start from Week 01.
4. Practice consistently.
5. Build your portfolio.


## Author

Sakinat Folorunso



## License

This repository is provided for educational purposes only.

Commercial redistribution of the materials without permission is prohibited.


# Learn. Practice. Launch.