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A structured, public code hub for my “Python for Data Science” teaching materials. Organized by topic: Core Python, NumPy, Pandas, and Scikit-Learn. Each folder contains Google Colab notebooks used in my lectures and practice sessions, plus datasets and helper utilities where needed. Students can open any notebook directly in Colab.

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HarisJafri-xcode/Python-for-DS

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Python for Data Science — Course Notebooks

This repository hosts all notebooks created for my Python for Data Science course.
Each topic folder contains Google Colab notebooks that can be opened and run directly in the browser.

Topics

  • 01-Core-Python
  • 02-NumPy
  • 03-Pandas
  • 04-Scikit-Learn
  • 05-Datasets
  • 06-Utils
  • 07-Projects

How to Use

  1. Pick a topic and notebook.
  2. Click the “Open in Colab” badge at the top of the notebook.
  3. If a dataset is needed, it will be available in the 05-Datasets folder.

Conventions

  • Two-digit numeric prefixes keep lessons in order.
  • Lowercase with underscores for notebook names.
  • One notebook per lesson folder.

About

A structured, public code hub for my “Python for Data Science” teaching materials. Organized by topic: Core Python, NumPy, Pandas, and Scikit-Learn. Each folder contains Google Colab notebooks used in my lectures and practice sessions, plus datasets and helper utilities where needed. Students can open any notebook directly in Colab.

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