Ch-Balaji/Python-For-DataScience ? reverse-engineered prompt

Build me a clean Jupyter notebook learning repo for Python, NumPy, and Pandas that feels like a guided course for beginners.

I want the notebooks organized in a clear sequence, starting with Python basics like variables, data types, operators, conditionals, loops, functions, errors, and file handling, then moving into NumPy arrays, operations, and broadcasting, and finally Pandas basics, group by, filters, and joins. Include a small datasets folder for examples and make each notebook easy to follow with simple explanations, code cells, and practice style examples.

Please make it look polished and beginner friendly, with consistent naming and a README that explains what the repo is, how to open the notebooks in Jupyter, and how to use them alongside a tutorial style learning path. If anything needs current setup details, look up the latest docs online.