Welcome to my learning journey in Python programming (for data analytics)!
This repository is a collection of Jupyter notebooks and exercises that document my hands-on exploration of Python. It includes practice scripts, mini-projects, and concept notes as I work through the fundamentals and practical applications of the language in data analysis.
Each notebook builds on a different Python concept:
| Notebook | Description |
|---|---|
python_1.ipynb |
Introduction to Python syntax and variables |
python_2.ipynb |
Data structures: tuple, list, set, and dictionary |
python_3_(Pandas_and_if_loop).ipynb |
Working with Pandas and conditional logic |
python_4_(for_loop).ipynb |
Understanding and applying for loops |
python_5_(basic_pandas).ipynb |
Basic operations with Pandas DataFrames |
- Practice and reinforce Python syntax
- Learn core programming concepts like control flow, functions, and data structures
- Explore data analysis with Pandas
- Build a solid foundation for future data science and automation projects
To run any notebook locally:
- Clone this repository
- Install Jupyter Notebook or JupyterLab
- Open any
.ipynbfile and explore!